Peer Reviewed Journal Publications
2022.
  1. Qian, X., Ukkusuri, S.V., Yang, C., & Yan, F. (2022). Short-term demand forecasting for on-demand mobility service. IEEE Transactions on Intelligent Transportation Systems, Vol. 23(2), pp. 1019-1029.
  2. Yabe, T., Rao, P.S.C., Ukkusuri, S.V., & Cutter, S. (2022). Towards data driven, dynamical complex systems approaches to disaster resilience. Proceedings of the National Academy of Sciences, Vol. 119(8), e2111997119. 
  3. Yabe, T., Tsubouchi, K., Sekimoto, Y., & Ukkusuri, S.V. (2022). Early warning of COVID-19 hotspots using human mobility and web search query data. Computers, Urban Systems and Environment, Vol. 92, 101747.
  4. Lee, S., Siebeneck, L., Benedict, B., Yabe, T., Jarvis, C., & Ukkusuri, S.V. (2022). Patterns of social support and trajectories of household recovery after Superstorm Sandy: Contrasting influences of bonding and bridging social capital. ASCE Natural Hazards Review, Vol. 23(2).
  5. Zhang, L., Wen, H., Lu, J., Lei, D., Li, S., & Ukkusuri, S.V. (2022). Exploring cascading reliability of multi-modal public transit network based on complex networks. Reliability Engineering and System Safety, Vol. 221, 108367.
  6. Yabe, T., Jones, N.K.W., Rao, P.S.C., Gonzalez, M., & Ukkusuri, S.V. (2022). Mobile phone location data for disaster response and recovery: A review of applications in natural hazards and epidemics. Computers, Urban Systems and Environment, Vol. 94, 101777.
  7. Hamim, O.F., & Ukkusuri, S.V. (2022). Determining prominent factors across system hierarchies to improve road safety in LMICs: A case study of Bangladesh. Safety Science, Vol. 150, 105709. 
  8. Adeji, E., Murray-Tuite, P.,Ge, Y., Ukkusuri, S.V., & Lee, S. (2022). Estimating hurricane evacuation destination and accommodation type selection with perceived certainty variables. Transportation Research Part D, Vol. 105, 103235.
  9. Xue, J., Jiang, N., Liang, S., Pang, Q., Yabe, T., Ukkusuri, S.V.,  & Ma, J. (2022). Quantifying spatial homogeneity of urban road networks via graph neural networks. Nature Machine Intelligence, 4, pp. 246-257.
  10. Verma, R., Shen, J., Murray-Tuite, P., Ge, Y., Lee, S., & Ukkusuri, S.V. (2022). Progression of hurricane evacuation-related dynamic decision-making with information processing. Transportation Research Part D, Vol.108, 103323.
  11. Mondal, W. U., Agarwal, M., Aggarwal, V., & Ukkusuri, S.V. (2022). On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). Accepted in Journal of Machine Learning Research, Vol. 23, no. 129, pp. 1-46.
  12. He, M., Muaz, U., Jiang, H., Lei, Z., Chen, X., Ukkusuri, S. V., & Sobolevsky, S. (2022). Ridership prediction and anomaly detection in transportation hubs: an application to New York City. The European Physical Journal Special Topics, 1-17.
  13. Ka, E., Sharma, S., & Ukkusuri, S.V. (2022). Leveraging Location-Based Data for Assessing Network Level Traffic Impact of Lane Management: A Case Study of Alex Fraser Bridge. Accepted in Journal of Transportation Engineering, Part A: Systems, Vol. 148(12), 04022105.
  14. Ling, L., Qian, X., & Ukkusuri, S.V. (2022). Spatiotemporal impacts of human activities and socio-demographics during the COVID-19 outbreak in the U.S.. Accepted in BMC Public Health, 22(1), 1-18.
  15. Mittal, S., Yabe, T., Arroyo Arroyo, F., & Ukkusuri, S.V. (2022). Linking Poverty-Based Inequalities with Transportation and Accessibility Using Mobility Data: A Case Study of Greater Maputo. Accepted in Transportation Research Record: Journal of the National Academies of Sciences.
  16. Mondal, W. U., Mankar, P. D., Das, G., Aggarwal, V., & Ukkusuri, S.V. (2022). Deep Learning based Coverage and Rate Manifold Estimation in Cellular Networks. Accepted in IEEE Transactions on Cognitive Communications and Networking.
  17. Adeji, E., Benedict, B., Murray-Tuite, P., Lee, S., Ukkusuri, S.V., & Ge, Y. (2022). Effects of risk perception and perceived certainty on evacuate/stay decisions.  International Journal of Disaster Risk Reduction, 80, 103247.
  18. Xin, Q., Fu, R., Yu, S., Ukkusuri, S.V., & Jiang, R. (2022). Safe and sub-optimal CAV platoon longitudinal control protocol accounting for state constraints and uncertain vehicle dynamics. Accepted in Journal of the Franklin Institute.
  19. Reia, S. M., Rao, P.S.C., Barthelemy, M., & Ukkusuri, S.V. (2022). Spatial structure of city population growth. Nature Communications, 13, 5931.
  20. Gehlot, H., Sundaram, S., & Ukkusuri, S.V. (2022). Algorithms for influence maximization in socio-physical networks. Accepted in Journal of Combinatorial Optimization. 
  21. Mondal, W. U., Aggarwal, V., & Ukkusuri, S. V. (2022). On the near-optimality of local policies in large cooperative multi-agent reinforcement learning. Transactions on Machine Learning Research.
  22. Lei, Z., & Ukkusuri, S. V. (2022). Understanding the Recovery of On-Demand Mobility Services in the COVID-19 Era. Journal of Big Data Analytics in Transportation, 1-21.
  23. Chen, X., Qian, X., Lei, Z., Jue, X., & ​Ukkusuri, S. V. (2022). Online eco-routing for electric vehicles using combinatorial multi-armed bandit with estimated covariance. Transportation Research Part D: Transport and Environment, 111, 103447.

2021.
  1. Verma, R., Yabe, T., & Ukkusuri, S. V. (2021). Spatiotemporal contact density explains the disparity of COVID-19 spread in urban neighborhoods. Scientific Reports, 11(1), 1-11.
  2. Yabe, T., Rao, P. S. C., & Ukkusuri, S. V. (2021). Modeling the Influence of Online Social Media Information on Post-Disaster Mobility Decisions. Sustainability, 13(9), 5254.
  3. Sadri, A. M., Ukkusuri, S. V., & Ahmed, M. A. (2021). Review of social influence in crisis communications and evacuation decision-making. Transportation research interdisciplinary perspectives, 9, 100325.
  4. Xin, Q., Fu, R., Ukkusuri, S. V., Yu, S., & Jiang, R. (2021). Modeling and impact analysis of connected vehicle merging accounting for mainline random length tight-platoon. Physica A: Statistical Mechanics and its Applications, 563, 125452.
  5. Qian, X., & Ukkusuri, S. V. (2021). Connecting urban transportation systems with the spread of infectious diseases: A Trans-SEIR modeling approach. Transportation Research Part B: Methodological, 145, 185-211.
  6. Qian, X., Sun, L., & Ukkusuri, S. V. (2021). Scaling of contact networks for epidemic spreading in urban transit systems. Scientific reports, 11(1), 1-12.
  7. Le, T. V., Ukkusuri, S. V., Xue, J., & Van Woensel, T. (2021). Designing pricing and compensation schemes by integrating matching and routing models for crowd-shipping systems. Transportation Research Part E: Logistics and Transportation Review, 149, 102209.
  8. Lee, S., Benedict, B. C., Ge, Y. G., Murray‐Tuite, P., & Ukkusuri, S. V. (2021). An application of media and network multiplexity theory to the structure and perceptions of information environments in hurricane evacuation. Journal of the Association for Information Science and Technology.
  9. Zhang, W., & Ukkusuri, S. V. (2021). Share-a-Cab: Scalable Clustering Taxi Group Ride Stand From Huge Geolocation Data. IEEE Access, 9, 9771-9776.
  10. Xin, Q., Fu, R., Yu, S., Ukkusuri, S. V., & Jiang, R. (2021). Modeling bus bunching and anti-bunching control accounting for signal control and passenger swapping behavior. Journal of Public Transportation, 23(1), 3.
  11. Ling, L., Murray-Tuite, P., Lee, S., Ge, Y. “Gurt,” & Ukkusuri, S. V. (2021). Role of Uncertainty and Social Networks on Shadow Evacuation and Non-Compliance Behavior in Hurricanes. Transportation Research Record, 2675(3), 53–64.​
2020. 
  1. Yabe, T., Rao, P. S. C., & Ukkusuri, S. V. (2020). Regional differences in resilience of social and physical systems: Case study of Puerto Rico after Hurricane Maria. Environment and Planning B: Urban Analytics and City Science.
  2. Yabe, T., Zhang, Y., & Ukkusuri, S. V. (2020). Quantifying the economic impact of disasters on businesses using human mobility data: a Bayesian causal inference approach. EPJ Data Science, 9(1), 36.
  3. Qian, X., Xue, J., & Ukkusuri, S. V. (2020). Demand-Adaptive Route Planning and Scheduling for Urban Hub-based High-Capacity Mobility-on-Demand Services. Accepted in ISTTT 24 Proceedings and Transportation Research Part B.
  4. Zhang, W., Xi, Y., & Ukkusuri, S. V. (2020). Understanding Spatiotemporal Variations of Ridership by Multiple Taxi Services. ISPRS International Journal of Geo-Information, 9(12), 757.
  5. Lei, D., Chen, X., Cheng, L., Zhang, L., Ukkusuri, S. V., & Witlox, F. (2020). Inferring temporal motifs for travel pattern analysis using large scale smart card data. Transportation Research Part C: Emerging Technologies, 120, 102810.
  6. ​Yabe, T., Tsubouchi, K., Fujiwara, N., Wada, T., Sekimoto, Y., & Ukkusuri, S. V. (2020). Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic. Scientific reports, 10(1), 1-9.
  7. Qian, X., Ukkusuri, S. V., Yang, C., & Yan, F. (2020). Short-Term Demand Forecasting for on-Demand Mobility Service. IEEE Transactions on Intelligent Transportation Systems.
  8. ​Yang, C., Zhang, Y., Zhan, X., Ukkusuri, S. V., & Chen, Y. (2020). Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics. Journal of Advanced Transportation, 2020.
  9. Yabe, T., Tsubouchi, K., Fujiwara, N., Sekimoto, Y., & Ukkusuri, S. V. (2020). Understanding post-disaster population recovery patterns. Journal of the Royal Society Interface, 17(163), 20190532.
  10. ​Yabe, T., Ukkusuri, S. V., & Rao, P. S. C. (2020). Mobile phone data reveals the importance of pre-disaster inter-city social ties for recovery after Hurricane Maria. Applied Network Science, 5(1), 4.
  11. Kumar, D., & Ukkusuri, S. V. (2020). Enhancing demographic coverage of hurricane evacuation behavior modeling using social media. Journal of Computational Science, 45, 101184.
  12. Yu, D. J., Schoon, M. L., Hawes, J. K., Lee, S., Park, J., Rao, P. S. C., ... & Ukkusuri, S. V. (2020). Toward general principles for resilience engineering. Risk Analysis, 40(8), 1509-1537.
  13. Siebeneck, L., Schumann, R., Kuenanz, B. J., Lee, S., Benedict, B. C., Jarvis, C. M., & Ukkusuri, S. V. (2020). Returning home after Superstorm Sandy: phases in the return-entry process. Natural Hazards, 101(1), 195-215.
  14. Lei, Z., Qian, X., & Ukkusuri, S. V. (2020). Efficient proactive vehicle relocation for on-demand mobility service with recurrent neural networks. Transportation Research Part C: Emerging Technologies, 117, 102678.
  15. Zhan, X., Li, R., & Ukkusuri, S. V. (2020). Link-based traffic state estimation and prediction for arterial networks using license-plate recognition data. Transportation Research Part C: Emerging Technologies, 117, 102660.
  16. Yabe, T., & Ukkusuri, S. V. (2020). Effects of income inequality on evacuation, reentry and segregation after disasters. Transportation Research Part D: Transport and Environment, 102260.
  17. Sadri, A.M., Hasan, S., Ukkusuri, S.V. and Cebrian, M  (2020). Exploring Network Properties of Social Media Interactions and Activities during Hurricane Sandy. Transportation Research Interdisciplinary Perspectives, 6, 100143.
  18. Alawadi, R., Murray-Tuite, P., Marasco, D., Ukkusuri, S. V., & Ge, Y. (2020). Determinants of full and partial household evacuation decision making in hurricane matthew. Transportation research part D: transport and environment, 102313.
  19. Siebeneck, L., Schumann, R., Kuenanz, B., Lee, S., Benedict, B., Jarvis, C. and Ukkusuri, S.V.  (2020). Returning Home After Superstorm Sandy: Phases in the Return-Entry Process. Natural Hazards, 101(1), 195-215.
  20. Yabe, T., Tsubouchi, K., Fujiwara, N., Sekimoto, Y., & Ukkusuri, S. V. (2020). Universality of population recovery patterns after disasters. Journal of Royal Society Interface,17(163), 20190532.
  21. Gehlot, H., Honnappa, H. and Ukkusuri, S.V. (July 2020). An optimal control approach to day-to-day congestion pricing for stochastic transportation networks. Computers and Operations Research, 119, 104929.
  22. Qian, X., Lei, T., Xue, J., Lei, Z. and Ukkusuri, S.V. (2020). Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data. Sustainable Cities and Society, 55, 102053.
  23. Pan, Y., Qiao, F., Tang, K., Chen, S., & Ukkusuri, S. V. (2020). Understanding and estimating the carbon dioxide emissions for urban buses at different road locations: A comparison between new-energy buses and conventional diesel buses. Science of The Total Environment, 703, 135533.
  24. Chen, R., Qian, X., Miao, L., & Ukkusuri, S. V. (2020). Optimal charging facility location and capacity for electric vehicles considering route choice and charging time equilibrium. Computers & Operations Research, 113, 104776.
  25. Zhang, W., Qian, X., Kumar, D. and Ukkusuri, S.V. (2020). Understanding the operational dynamics of Mobility Service Providers: A case of Uber. ACM Transactions on Spatial Algorithms and Systems, Vol. 6(2).
  26. Zhang, W., Le, T., Ukkusuri, S.V. and Li, R  (2020). Influencing factors and spatial effects on ridership in traditional and app based taxi systems. Transportation, Springer, vol. 47(2), 971-996.
  27. Niu, S. and Ukkusuri, S.V. (2020). Risk Assessment of Commercial dangerous-goods truck drivers using geo-location data: A case study in China. Accident Analysis and Prevention, 137, 105427.
2019. 
  1. ​Zhan, X., & Ukkusuri, S. V. (2019). Multiclass, simultaneous route and departure time choice dynamic traffic assignment with an embedded spatial queuing model. Transportmetrica B: Transport Dynamics, 7(1), 124-146.
  2. Gehlot, H., Sadri, A. M., & Ukkusuri, S. V. (2019). Joint modeling of evacuation departure and travel times in hurricanes. Transportation, 46(6), 2419-2440.​
  3. Le, T. V., Stathopoulos, A., Van Woensel, T., & Ukkusuri, S. V. (2019). Supply, demand, operations, and management of crowd-shipping services: A review and empirical evidence. Transportation Research Part C: Emerging Technologies, 103, 83-103.
  4. Pan, Y., Chen, S., Qiao, F., Ukkusuri, S. V., & Tang, K. (2019). Estimation of real-driving emissions for buses fueled with liquefied natural gas based on gradient boosted regression trees. Science of the Total Environment, 660, 741-750.
  5. Gehlot, H., Sundaram, S., & Ukkusuri, S. V. (2019). Approximation algorithms for the recovery of infrastructure after disasters under precedence constraints. IFAC-PapersOnLine, 52(20), 175-180.​
  6. ​Yang, C., Zhang, Y., Ukkusuri, S. V., & Zhu, R. (2019). Mobility Pattern Identification Based on Mobile Phone Data. In Transportation Analytics in the Era of Big Data (pp. 217-232). Springer, Cham.​
  7. Gehlot, H., & Ukkusuri, S. V. (2019). User equilibrium with a policy-based link transmission model for stochastic time-dependent traffic networks. Transportmetrica B: Transport Dynamics, 7(1), 1013-1043.
  8. Yabe, T., Ukkusuri, S. V., & Rao, P. S. C. (2019). Mobile phone data reveals the importance of pre-disaster inter-city social ties for recovery after Hurricane Maria. Applied Network Science, 4(1), 98.
  9. Damera, A., Gehlot, H., Ukkusuri, S.V., Murray-Tuite, P., Gurt, Y., and Lee, S (2019). Modeling the sequencing of evacuation destination and accommodation type in hurricanes. Accepted in Journal of Homeland Security and Emergency Management.
  10. Sadri, A. M., Hasan, S., & Ukkusuri, S. V. (2019). Joint inference of user community and interest patterns in social interaction networks. Social Network Analysis and Mining, 9(1), 11.
  11. Miralinaghi, M., Peeta, S., He, X., and Ukkusuri, S.V (2019). Managing morning commute congestion with tradable credit scheme considering commuter heterogeneity and loss aversion. Transportmetrica B: Transport Dynamics, Vol. 7(1), pp.1780-1808.
  12. Le, T. V., & Ukkusuri, S. V. (2019). Crowd-shipping services for last mile delivery: Analysis from American survey data. Interdisciplinary Perspectives in Transportation, Vol. 1.
  13. Zhan, X., & Ukkusuri, S. V. (2019). Spatial Dependency of Urban Sprawl and the Underlying Road Network Structure. Journal of Urban Planning and Development,  Vol. 145(4).
  14. Ahmed, A., Ukkusuri, S. V., Mirza, S. R., & Hassan, A. (2019). Width-based cell transmission model for heterogeneous and undisciplined traffic streams. Transportation Research Record: Journal of Transportation Research Board, Vol. 2673(5), pp. 682-692.
  15. Le, T. and Ukkusuri, S.V (2019). Influencing factors that determine the usage of the crowdshipping services . Transportation Research Record: Journal of the Transportation Research Board, Vol. 2673 (7), pp. 550-566.
  16. Lee, S., Sadri, A. M., Ukkusuri, S. V., Clawson, R. A., & Seipel, J. (2019). Network Structure and Substantive Dimensions of Improvised Social Support Ties Surrounding Households during Post-Disaster Recovery. ASCE Natural Hazards Review, Vol. 20(4), pp. 1-20.​
  17. Mesa-Arango, R., Narayanan, B., & Ukkusuri, S. V. (2019). The Impact of International Crises on Maritime Transportation Based Global Value Chains. Networks and Spatial Economics, Vol. 19(2), pp. 381-408.
  18. Zhang, W., Honnappa, H., & Ukkusuri, S. V. (2019). Modeling urban taxi services with e-hailings: A queueing network approach. Transportation Research Part C: Emerging Technologies, Vol. 38, pp. 751-771.
  19. Yan, F., Yang, C., & Ukkusuri, S. V. (2019). Alighting stop determination using two-step algorithms in bus transit systems. Transportmetrica A: Transport Science, 15(2), 1522-1542.
  20. Yabe, T. and Ukkusuri, S.V. (2019). Integrating Information from Heterogeneous Networks on Social Media to Predict Post-Disaster Returning Behavior. Journal of Computational Science, Vol. 32, pp. 12-20.
  21. Chen, S., Pan, Y., Qiao, F., Ukkusuri, S.V. and Tang, K (2019). Estimation of emissions for buses fueled with lique ed natural gas based on gradient boosted regression trees. Science of the Total Environment , Vol. 660, pp. 741-750.
  22. Gehlot, H., Zhan, X., Qian, X., Thompson, C., Kulkarni, M. and Ukkusuri, S.V. (2019). A-RESCUE 2.0: A fast, parallel, distributed computing environment for large scale evacuation simulation. ASCE Journal of Computing in Civil Engineering, Vol. 33(2), pp. 1-18. 
  23. Zhan, X., Ukkusuri, S.V. and Aziz, H.M. Multiclass (2019), Simultaneous Route and Departure Time Choice Dynamic Traffic Assignment with an Embedded Spatial Queuing Model. Transportmetrica Part B: Dynamics, Vol. 7(1), pp. 124-146.
  24. Le, T., Stathopoulos, A., Woensel, T. and Ukkusuri, S.V (2019). A review of crowd shipping services for last mile delivery: From supply and demand to operations and management. Transportation Research Part C (Emerging Technologies), 103, 83-103.
  25. Le, T. V., & Ukkusuri, S. V. (2019). Modeling the willingness to work as crowd-shippers and travel time tolerance in emerging logistics services. Travel Behaviour and Society, 15, 123-132.
  26. Bao, J., Liu, P., & Ukkusuri, S. V. (2019). A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data. Accident Analysis & Prevention, 122, 239-254.
​
2018​. 
  1. Wang, C., Ye, Z., Fricker, J., Zhang, Y. and Ukkusuri, S.V. (2018). Bus capacity estimation models for isolated bus stops in China. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2672(8), 108-120
  2. Sadri, A. M., Hasan, S., Ukkusuri, S. V., & Cebrian, M. (2017). Crisis Communication Patterns in Social Media during Hurricane Sandy. Transportation Research Record, 0361198118773896.
  3. Zhao, Y.,Ukkusuri, S.V. and Lu, J. Multi-dimensional scaling based data dimension reduction method and application in short-term traffic flow prediction for urban road network. Journal of Advanced Transportation, Vol. 2018, ID 3876841,10 pages (2018).
  4. Sadri, A. M., Hasan, S., Ukkusuri, S. V., & Lopez, J. E. S. (2018). Analysis of social interaction network properties and growth on Twitter. Social Network Analysis and Mining, 8(1), 56.
  5. Li, Y., Ukkusuri, S. V., & Fan, J. (2018). Managing congestion and emissions in transportation networks with dynamic carbon credit charge scheme. Computers & Operations Research, 99, 90-108.
  6. Yang, C., Yan, F., & Ukkusuri, S. V. (2018). Unraveling traveler mobility patterns and predicting user behavior in the Shenzhen metro system. Transportmetrica A: Transport Science, 14(7), 576-597.
  7. Zhang, W., Ukkusuri, S., & Yang, C. (2018). Modeling the Taxi Drivers’ Customer-Searching Behaviors outside Downtown Areas. Sustainability, 10(9), 3003.
  8. Zhu, F., & Ukkusuri, S. V. (2018). Modeling the Proactive Driving Behavior of Connected Vehicles: A Cell‐Based Simulation Approach. Computer‐Aided Civil and Infrastructure Engineering, 33(4), 262-281.
  9. Aziz, H. A., & Ukkusuri, S. V. (2018). A novel approach to estimate emissions from large transportation networks: Hierarchical clustering-based link-driving-schedules for EPA-MOVES using dynamic time warping measures. International Journal of Sustainable Transportation, 12(3), 192-204.
  10. Sadri, A. M., Ukkusuri, S. V., Lee, S., Clawson, R., Aldrich, D., Nelson, M. S., Seipel, J., & Kelly, D. (2018). The role of social capital, personal networks, and emergency responders in post-disaster recovery and resilience: a study of rural communities in Indiana. Natural Hazards, 1-30.
  11. Hasan, S., & Ukkusuri, S. V. (2018). Reconstructing activity location sequences from incomplete check-in data: a semi-markov continuous-time bayesian network model. IEEE Transactions on Intelligent Transportation Systems, 19(3), 687-698.
  12. Sarwar, M. T., Anastasopoulos, P. C., Ukkusuri, S. V., Murray-Tuite, P., & Mannering, F. L. (2018). A statistical analysis of the dynamics of household hurricane-evacuation decisions. Transportation, 45(1), 51-70.
    Chicago
  13. Aziz, H. A., Zhu, F., & Ukkusuri, S. V. (2018). Learning-based traffic signal control algorithms with neighborhood information sharing: An application for sustainable mobility. Journal of Intelligent Transportation Systems, 22(1), 40-52.

2017
  1. Sadri, A. M., Ukkusuri, S. V., & Gladwin, H. (2017). Modeling joint evacuation decisions in social networks: The case of Hurricane Sandy. Journal of choice modelling, 25, 50-60.
  2. ​Zhan, X., Ukkusuri, S. V., & Rao, P. S. C. (2017). Dynamics of functional failures and recovery in complex road networks. Physical Review E, 96(5), 052301.​
  3. Mesa-Arango, R., & Ukkusuri, S. V. (2017). Minimum cost flow problem formulation for the static vehicle allocation problem with stochastic lane demand in truckload strategic planning. Transportmetrica A: Transport Science, 13(10), 893-914.
  4. Hasan, S. and Ukkusuri, S.V. (2017). Reconstructing Activity Location Sequences from Incomplete Check-in Data: A Semi-Markov Continuous Time Bayesian Network Model. IEEE Transactions of ITS, PP(99).
  5. Qian, X., Zhang, W., Ukkusuri, S.V. and Yang, C. (2017). Optimal Assignment and Incentive Design in the taxi group ride problem. Transportation Research Part B.
  6. Sadri, A. M., Ukkusuri, S. V., & Gladwin, H. (2017). The role of social networks and information sources on hurricane evacuation decision making. Natural Hazards Review, 18(3), 04017005.
  7. Qian, X., & Ukkusuri, S. V. (2017). Time-of-Day Pricing in Taxi Markets. IEEE Transactions on Intelligent Transportation Systems, 18(6), 1610-1622.
  8. Zhan, X., Zheng, Y., Yi, X. and Ukkusuri, S.V. (2017). Citywide traffic volume estimation using trajectory data. IEEE Transactions of Knowledge and Data Engineering, 29(2), 272-285.
  9. Ukkusuri, S. V., Hasan, S., Luong, B., Doan, K., Zhan, X., Murray-Tuite, P., & Yin, W. (2017). A-RESCUE: An Agent based regional evacuation simulator coupled with user enriched behavior. Networks and Spatial Economics, 17(1), 197-223.
  10. Dixit, V., Ortmann, A., Rutstrom, L. and Ukkusuri, S.V. (2017). Experimental Economics and Transportation: Incentives and Context. Transportation Research Part C, 77, 161-184.
  11. Zhu, F., & Ukkusuri, S. V. (2017). An Optimal Estimation Approach for the Calibration of the Car-Following Behavior of Connected Vehicles in a Mixed Traffic Environment. IEEE Transactions on Intelligent Transportation Systems, 18(2), 282-291.​
  12. Sadri, A. M., Ukkusuri, S. V., & Gladwin, H. (2017). Modeling joint evacuation decisions in social networks: The case of Hurricane Sandy. Journal of choice modelling, 25, 50-60.
  13. Aziz, H. A., Ukkusuri, S. V., & Zhan, X. (2017). Determining the impact of personal mobility carbon allowance schemes in transportation networks. Networks and Spatial Economics, 17(2), 505-545.
  14. Zhang, W., Ukkusuri, S. V., & Lu, J. J. (2017). Impacts of urban built environment on empty taxi trips using limited geolocation data. Transportation, 44(6), 1445-1473.
  15. Qian, X., & Ukkusuri, S. V. (2017). Taxi market equilibrium with third-party hailing service.Transportation Research Part B: Methodological, 100, 43-63.

2016​
  1. Sarwar, M. T., Anastasopoulos, P. C., Ukkusuri, S. V., Murray-Tuite, P., & Mannering, F. L. (2016). A statistical analysis of the dynamics of household hurricane-evacuation decisions. Transportation, 1-20.​
  2. Hasan, S., Ukkusuri, S. V., & Zhan, X. (2016). Understanding social influence in activity location choice and lifestyle patterns using geolocation data from social media. Frontiers in ICT, 3, 10.
  3. Zhang, W., & Ukkusuri, S. V. (2016). Optimal fleet size and fare setting in emerging taxi markets with stochastic demand. Computer‐Aided Civil and Infrastructure Engineering, 31(9), 647-660.
  4. Mesa-Arango, R., & Ukkusuri, S. V. (2016). Pricing and Segmentation of Stochastic Demand in Less-Than-Truckload Combinatorial Bids. Transportation Research Record: Journal of the Transportation Research Board, (2567), 28-37.
  5. Yin, W., Murray-Tuite, P., Ukkusuri, S. V., & Gladwin, H. (2016). Modeling shadow evacuation for hurricanes with random-parameter logit model. Transportation Research Record: Journal of the Transportation Research Board, (2599), 43-51.
  6. Zhan, X., Qian, X., & Ukkusuri, S. V. (2016). A graph-based approach to measuring the efficiency of an urban taxi service system. IEEE Transactions on Intelligent Transportation Systems, 17(9), 2479-2489.
  7. Mesa-Arango, R., Zhan, X., Ukkusuri, S. V., & Mitra, A. (2016). Direct transportation economic impacts of highway networks disruptions using public data from the United States. Journal of Transportation Safety & Security, 8(1), 36-55.
  8. Abdul Aziz, H. M., & Ukkusuri, S. V. (2016). Network Traffic Control in Cyber-Transportation Systems Accounting for User-Level Fairness. Journal of Intelligent Transportation Systems, 20(1), 4-16.
  9. Ukkusuri, S. V., Ozbay, K., Yushimito, W. F., Iyer, S., Morgul, E. F., & Holguín-Veras, J. (2016). Assessing the impact of urban off-hour delivery program using city scale simulation models. EURO Journal on Transportation and Logistics, 5(2), 205-230.
  10. Han, L., Luong, B. T., & Ukkusuri, S. (2016). An algorithm for the one commodity pickup and delivery traveling salesman problem with restricted depot. Networks and Spatial Economics, 16(3), 743-768.

2015
  1. Zhan, X., Ukkusuri, S.V. and Yang, C. (2015). A probabilistic urban link travel time estimation using large-scale taxi data. Automation in Construction. Invited Paper for Special Issue on Big Data in Civil Engineering, 72, 237-246.
  2. Aziz, H. M., & Ukkusuri, S. V. (2015). Finding the link driving schedules (LDS) for integrated traffic-emissions (EPA-MOVES) simulator by clustering with dynamic time warping measures (No. 15-5060).
  3. Zhan, X., Aziz, H. A., & Ukkusuri, S. V. (2015). An efficient parallel sampling technique for Multivariate Poisson-Lognormal model: Analysis with two crash count datasets. Analytic methods in accident research, 8, 45-60.
  4. Sadri, A. M., Lee, S., & Ukkusuri, S. V. (2015). Modeling social network influence on joint trip frequency for regular activity travel decisions. Transportation Research Record: Journal of the Transportation Research Board, (2495), 83-93.
  5. Sadri, A. M., Ukkusuri, S. V., Murray-Tuite, P., & Gladwin, H. (2015). Hurricane evacuation route choice of major bridges in Miami Beach, Florida. Transportation Research Record: Journal of the Transportation Research Board, (2532), 164-173.
  6. Mesa-Arango, R., & Ukkusuri, S. V. (2015). Demand clustering in freight logistics networks. Transportation Research Part E: Logistics and Transportation Review, 81, 36-51.​​
  7. Doan, K., & Ukkusuri, S. (2015). Measuring inefficiency in dynamic traffic networks: a numerical study. Transportation Letters, 7(3), 154-167.​​
  8. Zhu, F., & Ukkusuri, S. V. (2015). A linear programming formulation for autonomous intersection control within a dynamic traffic assignment and connected vehicle environment. Transportation Research Part C: Emerging Technologies, 55, 363-378.​
  9. Ye, Q. and Ukkusuri, S.V. (2015). Resilience as an Objective in the Optimal Reconstruction Sequence for Transportation Networks. Journal of Transportation Safety and Security. Vol. 7(1), pp. 91-105
  10. Doan, K. and Ukkusuri, S.V. (2015). Dynamic system optimal model for multi-OD traffic networks with an advanced spatial queuing model. Journal of Transportation Research Part-C, Vol. 51, pp.41-65
  11. Aziz, H.M., Ukkusuri, S.V. and Romero, J. (2015). Understanding short-term travel behavior under personal mobility credit allowance scheme using experimental economics. Transportation Research Part D, Vol. 36, pp. 121-137​
  12. Qian, X. and Ukkusuri, S.V. (2015) Spatial variation of the urban taxi ridership using GPS data. Applied Geography, Vol. 59, pp. 31-42
  13. Zhan, X, Li, R. and Ukkusuri, S.V. (2015). Lane-based real time queue length estimation using license-plate recognition data. Transportation Research Part C, Vol. 57, pp.85-102
  14. Zhu, F., Aziz, H.M., Qian, X. and Ukkusuri, S.V. (2015) A junction-tree based learning algorithm to optimize network wide traffic control: A coordinated multi-agent framework. Transportation Research Part C, Vol. 58, pp. 487-501 ​
  15. Su, X., Cai, H., Luong, B. and Ukkusuri, S.V. (2015) From a Link-Node based network representation model to a lane-based network representation model: Two-dimensional arrangements approach. ASCE Journal of Computing in Civil Engineering, Vol. 29(3)
  16. Hasan, S. and Ukkusuri, S.V. (2015) Location contexts of user check-ins to model urban geo life-style patterns. PLOS One, 10(5), e0124819. doi: 10.1371/journal.pone.0124819
  17. Zhu, F. and Ukkusuri, S.V. (2015) A reinforcement learning approach for distance-based dynamic tolling in the stochastic network environment. Journal of Advanced Transportation, Vol. 49(2), pp. 247-266
  18. Mesa-Arango, R. and Ukkusuri, S.V. (2015). Demand clustering in freight logistics networks. Transportation Research Part E, Vol. 81, pp. 36-51
  19. Arif, S.M., Ukkusuri, S.V, Murray-Tuite, P. and Gladwin, H. (2015). Hurricane evacuation routing strategy from Miami Beach: Choice of major bridges. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2452, pp.164-173
2014
  1. Ukkusuri, S.V., Zhan, X., Arif, S.M. and Ye, Q. (2014). Use of social media data to explore crisis informatics: Study of 2013 Oklahoma tornado. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2459, pp. 110-118
  2. Zhan, X. and Ukkusuri, S.V. (2014). Inferring urban land use using large scale social media check-in data. Networks and Spatial Economics, Vol. 14(3), pp. 647-667
  3. Jeerangsuwan, T., Said, H., Kandil, A. and Ukkusuri, S.V. (2014). Financial evaluation for toll road projects considering traffic volume and serviceability interactions. ASCE Journal of Infrastructure Systems. Vol. 20(3)
  4. Mesa-Arango, R. and Ukkusuri, S.V. (2014). Attributes driving the selection of trucking services and the quantification of the shipper's willingness to pay. Transportation Research Part E: Logistics and Transportation Review Volume 71, pp. 142-158
  5. Aziz, H.M. and Ukkusuri, S.V. (2014). Exploring the trade-off between greenhouse gas emissions and travel time in daily travel decisions: Route and departure time choices. Transportation Research Part D: Transport and Environment Volume 32, pp. 334-353
  6. Hasan, S. and Ukkusuri, S.V. (2014). Urban activity pattern classification using topic models from online geo-location data. Transportation Research Part C: Emerging Technologies Volume 44, pp. 363-381
  7. Sadri, A.M., Ukkusuri, S.V., Murray-Tuite, P. and Gladwin, H. (2014). Analysis of hurricane evacuee mode choice behavior. Transportation Research Part C: Emerging Technologies Volume 48, pp. 37-46
  8. Mesa-Arango, R. and Ukkusuri, S.V. (2014). Modeling the car truck interactions in a system optimal dynamic traffic assignment. Journal of Intelligent Transportation Systems Vol. 18 Issue 4, pp. 327-338
  9. Yasmin, S., Eluru, N. and Ukkusuri, S.V. (2014). Alternative ordered response frameworks for examining pedestrian injury severity in New York City. Journal of Transportation Safety and Security Vol. 6 Issue 4, pp. 275-300
  10. Zhang, B., Chan, W.K. and Ukkusuri, S.V. (2014). On the modeling of transportation evacuation: An agent based discrete event hybrid space approach. Journal of Simulation, Vol. 8(4), pp. 259-270
  11. Dorado, I.G., Aliaga, D. and Ukkusuri, S.V. (2014). Designing large-scale traffic animations for urban modeling. Computer Graphics Forum Vol. 33 Issue 2, pp. 411-420
  12. Yin, W., Murray-Tuite, P., Ukkusuri, S.V. and Gladwin, H. (2014). An agent based travel demand model for hurricane evacuation simulation. Transportation Research Part C (Emerging Technologies) Vol. 42C, pp. 44-59
  13. Zhu, F. and Ukkusuri, S.V. (2014). Accounting for Dynamic Speed Limit Control Problems in Stochastic Traffic Environment: A Reinforcement Learning Approach. Transportation Research Part C (Emerging Technologies) Vol. 41, pp. 30-47

2013
  1. Sadri, A.M., Ukkusuri, S.V., Murray-Tuite, P. and Gladwin, H. (2013). How to Evacuate? A behavioral model to understand the routing strategies during hurricane evacuation. ASCE Journal of Transportation Engineering Vol. 140, pp. 61-69
  2. Hasan, S. and Ukkusuri, S.V. (2013). Social Contagion Process in Informal Warning Networks to Understand Evacuation Timing Behavior. Journal of Public Health Management and Practice (Invited) Vol. 19, pp. 68-69
  3. Mesa-Arango, R., Ukkusuri, S.V. and Sarmiento, I. (2013). A network flow methodology to estimate empty trips in freight transportation. Transportation Research Record: Journal of the Transportation Research Board Vol. 2378, pp. 110-119
  4. Mohamed, M.G., Saunier, N., Miranda, L. and Ukkusuri, S.V. (2013). A clustering regression approach: A comprehensive injury severity analysis of pedestrian-vehicle crashes in New York, US and Montreal. Safety Science Vol. 54, pp. 27-37
  5. Hasan, S. , Mesa-Arango, R. and Ukkusuri, S.V. (2013). A random parameter hazard based model to understand the temporal dynamics of household evacuation timing behavior. Transportation Research Part C (Emerging Technologies) Vol. 27, pp. 108-116
  6. Mesa-Arango, R., Hasan, S., Ukkusuri, S.V. and Murray-Tuite, P. (2013). Household level models for hurricane evacuation destination choice using hurricane Ivan data. Natural Hazards Review Vol. 14 (1), pp. 11-20
  7. Murray-Tuite, P., Yin, W., Ukkusuri, S.V. and Gladwin, H. (2013). Changes in evacuation decisions between hurricane Ivan and Katrina. Transportation Research Record: Journal of the Transportation Research Board Vol. 2312, pp. 98-107
  8. Aziz, A. and Ukkusuri, S.V. (2013). Unified Framework for Dynamic Traffic Assignment and Signal Control with Cell Transmission Model. Transportation Research Record: Journal of the Transportation Research Board Vol. 2311, pp. 73-84
  9. Aziz, A. Ukkusuri, S.V. and Hasan, S. (2013). Exploring the determinants of pedestrian-vehicle crash severity in New York City. Accident Analysis and Prevention Vol. 50, pp. 1298-1309
  10. Sadri, A.M., Ukkusuri, S.V., Murray-Tuite, P. (2013). A random parameter ordered probit model to understand the mobilization time in hurricane evacuations. Transportation Research Part C (Emerging Technologies) Vol. 32, pp. 21-30
  11. Han, L. and Ukkusuri, S.V. (2013). A complementarity approach for an environmental-economic game with coupling emission constraints. Environmental Modeling and Assessment Vol.18(2), pp. 147-158
  12. Collins, C., Hasan, S. and Ukkusuri, S.V. (2013). A novel transit rider satisfaction metric: Riders sentiment measured from online social media data. Journal of Public Transportation Vol. 16(2), pp. 21-45
  13. Hasan, S., Schneider, C., Ukkusuri, S.V. and Gonzalez, M. (2013). Spatio-temporal patterns of urban human mobility. Journal of Statistical Physics Vol. 151, Issue 1-2, pp. 304-318
  14. Zhan, X., Hasan, S., Ukkusuri, S.V. and Kamga, C. (2013). Urban link travel time estimation using large scale taxi data with limited information. Transportation Research Part C (Emerging Technologies) Vol. 33, pp. 37-49
  15. Zhu, F. and Ukkusuri, S.V. (2013). A cell based dynamic system optimum model with non-holding back flows. Transportation Research Part C (Emerging Technologies) Vol. 36, pp. 367-380
  16. Aziz, H.M. and Ukkusuri, S.V. (2013). Tradable Emission Credits for Personal Travel: A Market based approach to achieve air quality standards. International Journal of Advances in Engineering Sciences Vol. 5, Issue 2-3, pp. 145-157
  17. Mesa-Arango, R. and Ukkusuri, S.V. (2013). Benefits of in-vehicle consolidation in less than truckload freight transportation operations. Transportation Research Part E (Freight Transportation and Logistics) Vol. 60, pp. 113-125
​
2012
  1. Pang, J. S., Han, L., Ramadurai, G. and Ukkusuri, S. V. (2012). A continuous time linear complementarity system for dynamic equilibria in single bottleneck traffic flows. Mathematical Programming Part A Vol. 133(1), pp. 437-460
  2. Hasan, S. , Mesa-Arango, R. and Ukkusuri, S.V. , Murray-Tuite, P. (2012). Transferability of Hurricane Evacuation Choice Model: Joint Model Estimation using Multiple Data Sources. ASCE Journal of Transportation Engineering Vol. 138(5), pp. 548-556
  3. Aziz, A.H. and Ukkusuri, S.V. (2012). Integration of Environmental Objectives in a System Optimal Dynamic Traffic Assignment Model. Computer Aided Civil and Infrastructure Engineering 27(7), pp. 494-511
  4. Yushimoto, W.,  Jaller, M. and Ukkusuri, S. V.(2012). Facility location in Disasters: A Voronoi based Hueristic Algorithm with an application to Hurricane Katrina. Networks and Spatial Economics Vol. 12(1), pp. 21-39
  5. Ukkusuri, S.V., Miranda, L., Ramadurai, G. and Isa, J. (2012). The role of built environment on pedestrian crash frequency. Safety Science Vol. 50(4), pp. 1141-1151
  6. Doan, K. and Ukkusuri, S.V. (2012). On the holding back problem in cell transmission based dynamic traffic assignment models. Transportation Research Part B (Methodological) Vol. 46(9), pp. 1218-1238
  7. Ukkusuri, S.V., Han, L. and Kien, D. (2012). Dynamic User Equilibrium with a path based Cell Transmission Model for General Traffic Networks. Transportation Research Part B (Methodological) Vol. 46(10), pp. 1657-1684

2011
  1. Hang, Y., Qu, M. and Ukkusuri, S.V. (2011). Optimizing the Design of a Solar Cooling System using Central Composite Design Techniques. Energy and Buildings 43(4), pp. 988-994
  2. Hasan, S., Ukkusuri, S.V., Gladwin, H. and Murray-Tuite, P. (2011). A behavioral model to understand household level hurricane evacuation decision making. ASCE Journal of Transportation Engineering, 137(5), pp. 341-349
  3. Sharma, S., Mathew, T.V. and Ukkusuri, S.V. (2011). Approximation Techniques for the Transportation Network Design Problem under Demand Uncertainty. ASCE Journal of Computing in Civil Engineering, 25(4), pp. 316-330
  4. Ukkusuri, S. V. and Patil, G. (2011). A Sample Average Approximation Method for the Flexible Network Design Problem. ASCE Journal of Computing in Civil Engineering, 25(3), pp. 254-263
  5. Ramadurai, G. and Ukkusuri, S.V. (2011). B-Dynamic: An Efficient Algorithm for Dynamic User Equilibrium in Activity Travel Networks. Computer Aided Civil and Infrastructure Engineering 26(4), 254-269
  6. Doan, K. , Ukkusuri, S. V. and Lanshan, H. (2011). On The Existence Of Pricing Strategies in the Heterogeneous Single Bottleneck Model And Its Extensions. Transportation Research Part B (Methodological), 45(9), pp. 1483-1500
  7. Lanshan, H., Ukkusuri, S.V. and Doan, K (2011). Complementarity Formulations for the Dynamic User Equilibrium with Departure Time Choice, Elastic Demand and User Heterogeneity. Transportation Research Part B (Methodological), 45(10), pp. 1749-1767
  8. Hasan, S. and Ukkusuri, S.V. (2011). A threshold model of social contagion process for evacuation decision making​. Transportation Research Part B (Methodological), 45(10), pp. 1590-1605
  9. Ukkusuri, S.V., Wang, Y. and Chigan, T. (2011). Special Issue on Exploiting Wireless Communication Technologies in Vehicular Transportation Networks. IEEE Transactions of Intelligent Transportation Systems Vol. 12(3), pp. 633-634
  10. Holguin-Veras, J.H., Ozbay, K., Kornhauser, A., Ukkusuri, S.V., Brom, M., Iyer, S., Yushimito, W.F., Allen, B. and Silas, M. (2011). Overall Impacts of Off-Peak Delivery Programs in New York Metropolitan Area. Transportation Research Record: Journal of the Transportation Research Board Vol. 2238, pp. 68-76
  11. Ukkusuri, S.V., Hasan, S. and Aziz, A.H. (2011). Random parameter model used to explain effects of built environment characteristics on pedestrian crash frequency. Transportation Research Record: Journal of the Transportation Research Board Vol. 2237, pp. 98-106

2010
  1. Ukkusuri, S.V. and Du, L. (2010). Relative Mobility of Vehicles improves the Information propagation in Vehicular Ad Hoc Networks. Networks and Spatial Economics 10(2), pp. 209-240
  2. Ukkusuri, S. V., and Waller, S. T. (2010) Approximate Analytical Expressions for the Traffic Equilibrium Problem under Uncertain Demand. Transportation Letters: The International Journal of Transportation Research 2(2), pp. 111-124
  3. Ramadurai, G. and Ukkusuri, S.V. (2010). Dynamic User Equilibrium Model for Combined Activity-Travel Choices Using Activity-Travel Supernetwork Representation​. Networks and Spatial Economics 10(2), pp. 273-292
  4. Ramadurai, G., Ukkusuri, S.V., Zhao, J. and Pang, J.S. (2010). Linear Complementary Formulation for the Multi-User Class Single Bottleneck Problem. Transportation Research Part-B (Methodological) 44(2), pp. 193-214
  5. Ukkusuri, S.V., Ramadurai, G. and Patil, G. (2010). A robust transportation signal control problem accounting for traffic dynamics. Computers and Operations Research 37(5), pp. 869-879

2009
  1. Ukkusuri, S. V., and Ramadurai, G. (2009). Comprehensive Review of Emerging Technologies for Congestion Reduction and Safety. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2129, pp. 101-110
  2. Ukkusuri, S.V. and Patil, G. (2009). Multi-Period Transportation Network Design Problem under Demand Uncertainty. Transportation Research Part B (Methodological) 43(6), pp.625-642
  3. Sharma, S., Ukkusuri, S.V. and Mathew, T.V. (2009). A Pareto Optimal Multiobjective Optimization for Robust Transportation Network Design Problem. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2090, pp.95-104
  4. Ukkusuri, S.V. and Yushimito, W. (2009). A Methodology to Assess the Criticality of Highway Transportation Networks. Journal of Transportation Security 2(1), pp.29-46
  5. Miranda, L.M., Fu, L., Ukkusuri, S.V. and Lord, D. (2009). How to incorporate accident severity and vehicle occupancy into hotspot identification process? Transportation Research Record: Journal of the Transportation Research Board, Vol. 2102, pp. 53-60
  6. Du, L., Ukkusuri, S.V., Yushimito, W. and Kalyanaraman, S. (2009). Characterizing Interference in Vehicle Ad Hoc Networks on Freeway Segments under various Traffic Flow Conditions. Transportation Research Part-C (Emerging Technologies) 17(6), pp.571-585

2008
  1. Karoonsoontawong, A., Ukkusuri, S.V., Waller, S.T. and Kockelman, K. (2008). Simulation Based Hueristic Approach for Dynamic Marginal Cost Pricing. Journal of Transportation Research Forum 47(4), pp.81-99
  2. Ukkusuri, S.V. and Yushimito, W. (2008). Location Routing Problem for the Humanitarian Prepositioning problem. Transportation Research Record: Journal of the Transportation Research Board. Vol. 2089, pp.18-25
  3. Ukkusuri, S.V. and Du, L. (2008). Geometric Connectivity of Vehicular Ad Hoc Networks: Analytical Characterization. Transportation Research Part-C (Emerging Technologies) 16(5), pp.615-634
  4. Ukkusuri, S.V. and Waller, S.T. (2008). Linear programming models for the user and system optimal dynamic network design problem: Formulations, implementations and comparisons. Networks and Spatial Economics 8(4), pp. 383-406
​
2007
  1. Barkan, C.P., Ukkusuri, S.V. and Waller, S.T. (2007). Optimizing the design of railway tank cars to minimize accident-caused releases. Computers and Operations Research 34(5), pp. 1266-1286
  2. Ukkusuri, S.V., Mathew, T.V. and Waller, S.T. (2007). Robust Network Design model under demand uncertainty. Computer Aided Civil and Infrastructure Engineering 22(1), pp.9-21
  3. Ukkusuri, S.V. and Patil, G. (2007). Exploring user behavior in online network equilibrium problems. Transportation Research Record: Journal of the Transportation Research Board. Vol. 2029, pp.31-38
  4. Ramadurai, G. and Ukkusuri, S.V. (2007). Dynamic traffic equilibrium: theoretical and experimental network game results in single-bottleneck model. Transportation Research Record: Journal of the Transportation Research Board. Vol. 2029, pp.1-13
  5. Patil, G. and Ukkusuri, S.V. (2007). System-Optimal Stochastic Transportation Network Design. Transportation Research Record: Journal of the Transportation Research Board. Vol. 2029, pp.80-86
  6. Holguin-Veras, J.H., Perez, N., Ukkusuri, S.V., Wachtendorf, T. and Brown, B. (2007). Emergency Logistics issues in Hurricane Katrina: A synthesis and preliminary suggestions for improvement. Transportation Research Record: Journal of the Transportation Research Board. Vol. 2022, pp.76-82

2006
  1. Kyunghwi, J., Lee, J.S., Ukkusuri, S.V. and Waller, S.T. (2006). Selectorecombinative Genetic Algorithm to Relax Computational Complexity of Discrete Network Design Problem.Transportation Research Record: Journal of the Transportation Research Board, Vol. 1964, pp. 91-103
  2. Ukkusuri, S.V. and Waller, S.T. (2006). Single Point Approximations for Traffic Equilibrium under Uncertain Demand. Transportation Research Record: Journal of the Transportation Research Board, Vol. 1964, pp. 169-175

2005 and before
  1. Sun, D., Ukkusuri, S. V., Benekohal, R. F., and Waller, S. T. (2005). Modeling of driver-pedestrian interaction at mid-block crosswalks. Advances in Transportation Studies-An International Journal. Vol. 6, pp. 57-73​
  2. Sun, D., Ukkusuri, S. V., Benekohal, R. F., Waller, S. T. and Liu, B. (2004). Fuzzy logic based online collision prediction system for signalized intersections. Advances in Transportation Studies-An International Journal. Vol. 3, pp. 71-86