Topics of Interest

  1. Deep reinforcement learning applied to dynamic stochastic control of Intelligent Transportation Systems including active traffic management (ATM) strategies, dynamic pricing for managed lanes, signal coordination and optimization
  2. Large-scale long-term planning models for complex driver route choice behavior under the presence of emerging technologies
  3. Models for multi-company competition in transportation service market and policy design
  4. Data-driven analysis for calibrating driver behavior and planning models

Publications and Presentations

Journal Publications

  1. Pandey, V. , Wang, E., and Boyles, S. D. (2020). Deep reinforcement learning algorithm for dynamic pricing of express lanes with multiple access locations. Accepted for publication in Transportation Research Part C: Emerging Technologies [Preprint] [PDF journal format; freely accessible till Sep 27, 2020]
  2. Pandey, V. , Monteil, J., Gambella, C., and Simonetto, A. (2019). On the needs for MaaS platforms to handle competition in ridesharing mobility. Transportation Research Part C: Emerging Technologies , 108, 269-288. [Online]
  3. Pandey, V., and Boyles, S. D. (2019). Comparing Route Choice Models for Managed Lane Networks with Multiple Entrances and Exits. Transportation Research Record. [Online]
  4. Pandey V. , and Boyles, S. D. (2018). Dynamic pricing of managed lanes with multiple entrances and exits. Transportation Research Part C: Emerging Technologies , 96, 304-320. [Online]
  5. Pandey, V. , and Ruiz-Juri, N. (2018). Using National performance management research data set (NPMRDS) for corridor performance measures: a US 281N corridor case study. Transportation Research Record . [Online]
  6. Yahia, C., Pandey, V. , and Boyles, S. D. (2018). Network partitioning algorithms for solving the traffic assignment problems using a decomposition approach. Transportation Research Record.. [Online]
  7. Jafari, E., Pandey, V. , and Boyles, S. D. (2017). A decomposition approach to the static traffic assignment problem. Transportation Research Part B: Methodological, 105, 270-296. [Online]
Under preparation/review
  1. Pandey, V., Perrine, K. A., and Levin, M. W. Dynamic user equilibrium with recourse and variable message signs. Under review.
  2. Helsel, J. W., Pandey, V. , and Boyles, S. D. Time-Equitable Dynamic Tolling Scheme For Single Bottlenecks. Under review. [Preprint]

Refereed Conference Proceedings

  1. Pandey, V., Patil, P. N., Ganesh, M., and Boyles, S. D. (2020). Computationally-efficient Decomposition Heuristic for the Static Traffic Assignment Problem. To be presented at the Second Triennial Transportation Science and Logistics Society Conference, Arlington, VA. [Conference Proceedings]
  2. Pandey, V., Wang, E. and Boyles, S. D. (2020). Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes with Multiple Access Locations. Presented at 99th Annual Meeting of the Transportation Research Board, Washington, DC.
  3. Pandey, V. , Monteil, J., Gambella, C., and Simonetto, A. (2019). Cooperation vs competition in city-scale ridesharing mobility. Presented at the Tenth Triennial Symposium on Transportation Analysis (TRISTAN), Hamilton Island, Australia
  4. Pandey V. and Boyles, S. D. (2019). Multiclass User Equilibrium with Recourse Model for Long-term Planning of Managed Lanes. Presented at 15th World Conference on Transport Research, Mumbai, India.
  5. Pandey V. and Boyles, S. D. (2019). Comparing route choice models for managed lanes with multiple entrances and exits. Presented at 98th Annual Meeting of the Transportation Research Board, Washington, DC.
  6. Pandey V. and Boyles, S. D. (2018). Multiagent reinforcement learning model for distributed dynamic pricing of managed lanes. Presented at the 21st IEEE International Conference on Intelligent Transportation Systems, Lahaina, HI. (Candidate, Best paper award) [Online]
  7. Perrine, K. A., Pandey, V., and Levin, M. W. (2018). Dynamic user equilibrium with recourse with variable message signs. Presented at the 7th International Symposium on Dynamic Traffic Assignment: June 2018, Hong Kong, China.
  8. Pandey V. and Boyles, S. D. (2018). Dynamic pricing for managed lanes with multiple entrances and exits. Presented at 97th Annual Meeting of the Transportation Research Board, Washington, DC.
  9. Pandey V. , Li, J., Yahia, C., and Boyles, S. D. (2018). Evaluation of active traffic management (ATM) strategies under recurring and non-recurring congestion: an IH-35 corridor case study. Presented at 97th Annual Meeting of the Transportation Research Board, Washington, DC.
  10. Pandey, V. , and Ruiz-Juri, N. (2018). Using National performance management research data set (NPMRDS) for corridor performance measures: a US 281N corridor case study. Presented at 97th Annual Meeting of the Transportation Research Board, Washington, DC.
  11. Yahia, C., Pandey, V., and Boyles, S. D. (2018). Network partitioning algorithms for solving the traffic assignment problems using a decomposition approach. Presented at 97th Annual Meeting of the Transportation Research Board, Washington, DC.
  12. Pandey V., Xu, W., Huang, L., Liu, S., and Ruiz-Juri, N. (2018). Processing large-scale video data to support transportation safety, planning, and operations: a flexible approach to data storage and integration. Presented at 97th Annual Meeting of the Transportation Research Board, Washington, DC.
  13. Huang, L., Weijia, X., Liu, S., Pandey, V., Ruiz-Juri, N. (2017). Enabling versatile analysis of large scale traffic video data with deep learning and HiveQL. Presented at the 2017 IEEE International Conference on Big Data, Boston, MA.
  14. Jafari, E., Pandey, V., and Boyles, S. D. (2016). Static traffic assignment: a decentralized approach. Presented at 95th Annual Meeting of the Transportation Research Board, Washington, DC.
  15. Saxena N., Pandey, V., and Patil, G. R. (2013). Developing simulation model for urban road networks in developing countries using TRANSIMS. Presented at the Conference on Agent-Based Modeling in Transportation Planning and Operations, Blacksburg, VA.

Technical Reports

  1. Boyles, S. D., Patil, P. N., Pandey, V. , and Yahia, C. (2019). Beyond Political Boundaries: Constructing Network Models for Megaregion Planning. USDOT Tier 1 Center: Cooperative Mobility for Competitive Megaregions. (in press).
  2. Boyles, S. D., Pandey, V., Alexander, W. E., and Cheng, C. (2018). Modeling Managed Lanes for Long-term Planning Purposes. North Central Texas Council of Governments. (in press).
  3. Boyles, S. D., Walton, C. M., Duthie, J., Jafari, E., Jiang, N., Khani, A., Li, J., Osorio, J., Pandey, V. , Rambha, T., and Yahia, C. (2017). A Planning Tool for Active Traffic Management Combining Microsimulation and Dynamic Traffic Assignment. Texas Department of Transportation Report FHWA/TX-17/0-6859-1.
  4. Boyles, S. D., Bhat, C., Duthie, J., Jiang, N., Dias, F., Jafari, E., Pandey, V. , Singh, A., and Yahia, C. (2017). Methods for Improving Consistency between Statewide and Regional Planning Models. Texas Department of Transportation Report FHWA/TX-17/0-6900-1.

Technical Presentations

  1. Pandey, V. and Boyles, S.D. (2020). Adaptive Routing Algorithms on Express Lanes given Incomplete and Aggregated Online Information. To be presented at the 2020 Annual Meeting of the Institute for Operations Research and Management Sciences, National Harbor, MD.
  2. Pandey, V. , Rambha, T., and Boyles, S.D. (2019). Sensitivity analysis for user equilibrium models with recourse. Presented at the 2019 Annual Meeting of the Institute for Operations Research and Management Sciences, Seattle, WA.
  3. Pandey V., Patil, P. N., and Boyles, S. D. (2018). Comparison of route choice model for managed lanes with multiple entrances and exits. Presented at Annual Meeting of the Institute for Operations Research and Management Sciences, Pheoniz, AZ.
  4. Pandey V. and Boyles, S. D. (2017). Dynamic pricing for managed lanes with multiple entrances and exits. Presented at Annual Meeting of the Institute for Operations Research and Management Sciences, Houston, TX.
  5. Pandey V. and Boyles, S. D. (2017). Real-time estimation of value of time distribution using measurements on managed lane networks. Presented at Annual Meeting of the Institute for Operations Research and Management Sciences, Houston, TX.
  6. Yahia, C., Pandey, V., and Boyles, S. D. (2017). Network partitioning algorithms to reduce computation time for parallel traffic assignment problems. Presented at Annual Meeting of the Institute for Operations Research and Management Sciences, Houston, TX.
  7. Pandey V. and Boyles, S. D. (2016). Optimal dynamic pricing for managed lanes with multiple entrances and exits. Presented at Annual Meeting of the Institute for Operations Research and Management Sciences, Nashville, TN.
  8. Pandey, V. and Patil, G. R. (2012). Developing simulation model for urban road networks in developing countries using TRANSIMS. Presented at the 10th International Conference on Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC'12), Mumbai, India.

Theses

  1. Pandey, V. (2020) Dynamic Pricing and Long-term Planning Models for Managed Lanes with Multiple Entrances and Exits. PhD dissertation, The University of Texas at Austin. [PDF; 8.8 Mb]
  2. Pandey, V. (2016) Optimal Dynamic Pricing for Managed Lanes with Multiple Entrances and Exits. MS thesis, The University of Texas at Austin. Winner, 2016 Milton Pikarsky Award. [PDF; 3.2 Mb]