Autonomous & Connected Transportation (ACT) Laboratory

Products

Publications

  1. Liu, Y. and Peeta, S. (2025). “Human-Like Lane-Change Control Strategy for Connected and Autonomous Vehicles to Improve Interactions with Human-Driven Vehicles,” Transportation Research, Part C: Emerging Technologies, Vol. 177, ID 105211. (Free-access link, before July 22, 2025)
  2. Liu, Y., Zhou, A., Wang, Y. and Peeta, S. (2024). “Proactive Longitudinal Control to Assist Lane Changes of Human-Driven Vehicles in Mixed Traffic: Human-Emulation Approach,” Automotive Innovation; Accepted for Publication.
  3. Zhu, Y., Li, Y., Zhou, H., Huang, X., Ou, Y. and Peeta, S. (2024). “The Effects of Communication Topology on Mixed Traffic Flow: Modelling and Analysis,” Transportmetrica B: Transport Dynamics, Vol. 12, No. 1, ID 2422373.
  4. Feng, F., Anastasopoulos, P., Guo, Y., Wang, W., Peeta, S. and Li, X. (2024). “Willingness to Use Ridesplitting Services for Home-to-Work Morning Commute in the Post-COVID-19 Era,” Transportation, DOI: https://doi.org/10.1007/s11116-024-10549-7.
  5. Li, X., Zhang, X., Qian, X., Zhao, C., Guo, Y. and Peeta, S. (2024). “Beyond Centralization: Non-cooperative Perimeter Control with Extended Mean-field Reinforcement Learning in Urban Road Networks,” Transportation Research, Part B: Methodological, Vol. 186, ID 103016.

  6. Wang, J., Liu, Z., Zhou, A. and Peeta, S. (2024). “Robust Cooperative Control Strategy for a Platoon of Connected and Autonomous Vehicles Against Sensor Errors and Control Errors Simultaneously in a Real-World Driving Environment,” Transportation Research, Part B: Methodological; Vol. 184, ID 102946.

  7. Zhou, A., Peeta, S., Zhou, H., Laval, J., Wang, Z. and Cook, A. (2024). “Implications of Stop-and-Go Traffic on Training Learning-Based Car-Following Control,” Transportation Research, Part C: Emerging Technologies, Vol. 163, ID 104578.

  8. Wang, C. and Peeta, S. (2024). “Incentive Mechanism for Privacy-Preserving Collaborative Routing using Secure Multi-party Computation and Blockchain,” Sensors, Vol. 24, No. 2, ID 542.

  9. Liu, Y., Zhou, A., Wang, Y. and Peeta, S. (2023). “Proactive Longitudinal Control to Preclude Disruptive Lane Changes of Human-Driven Vehicles in Mixed-Flow Traffic,” Control Engineering Practice, Vol. 136, ID 105522.
  10. Zhou, A., Liu, Y., Tenenboim, E., Agrawal, S. and Peeta, S. (2023). “Car-Following Behavior of Human-Driven Vehicles in Mixed-Flow Traffic: A Driving Simulator Study,” IEEE Transactions on Intelligent Vehicles, Vol. 8, No. 4, pp. 2661-2673.
  11. Zhou, A., Peeta, S. and Wang, J. (2023). “Cooperative Control of a Platoon of Connected Autonomous Vehicles and Unconnected Human-driven Vehicles,” Computer-Aided Civil and Infrastructure Engineering; DOI: 1111/mice.12995.
  12. Ahmed, S.S., Fountas, G., Anastasopoulos, P. and Peeta, S. (2023). “Analysis of Urban Travel Time and Travel Distance: A Fully Parametric Bivariate Hazard-Based Duration Modelling approach with Correlated Grouped Random Parameters,” Travel Behavior and Society, Vol. 31, pp. 271-283.
  13. Agrawal, S., Peeta, S. and Benedyk, I. (2023). “Evaluating the Cognitive and Psychological Effects of Real-Time Auditory Travel Information on Drivers using EEG,” Behavior & Information Technology; DOI: 10.1080/0144929X.2022.2093273.
  14. Zhou, A., Wang, J. and Peeta, S. (2023). “Robust Control Strategy for Platoon of Connected and Autonomous Vehicles Considering Falsified Information Injected through Communication Links,” Journal of Intelligent Transportation Systems: Technology, Planning, and Operations; DOI: 1080/15472450.2022.2078203.
  15. Agrawal, S., Peeta, S. and Miralinaghi, M. (2023). Multi-Paradigm Modeling Framework to Evaluate the Impacts of Travel Patterns on Electric Vehicle Battery Lifespan,” Journal of Advanced Transportation, 2023, ID 1689075.
  16. Xu, Y., Wang, Y. and Peeta, S. (2023). “Leveraging Transformer Model to Predict Vehicle Trajectories in Congested Urban Traffic,” Transportation Research Record: Journal of the Transportation Research Board, Vol. 2677, No. 2, pp. 898-909.
  17. Wang, C., Wang, Y. and Peeta, S. (2022). “Cooperative Roundabout Control Strategy for Connected and Autonomous Vehicles,” Applied Sciences, Vol. 12, ID 12678.
  18. Li, Y., Qin, Z., Zhu, H., Peeta, S. and Gao, X. (2022). “Platoon Control of Connected Vehicles with Heterogeneous Model Structures Considering External Disturbances,” Green Energy and Intelligent Transportation, Vol. 1, No. 3, ID 100038.
  19. Zhou, H., Zhou, A., Li, T., Peeta, S. and Laval, J. (2022). “Congestion-Mitigating MPC Design for Adaptive Cruise Control Based on Newell’s Car Following Model: History Outperforms Prediction,” Transportation Research, Part C: Emerging Technologies; Accepted for Publication.
  20. Wang, J., He, X., Peeta, S. and Wang, W. (2022). “Globally Convergent Line Search Algorithm Integrated with Euler’s Method for the Continuous Network Design Problem,” Transportation Research, Part B: Methodological; Accepted for Publication.
  21. Fereydooni, N., Tenenboim, E., Walker, B. and Peeta, S. (2022). “Incorporating Situation Awareness Cues in Virtual Reality for Users in Dynamic In-Vehicle Environments,” IEEE Transactions on Visualization and Computer Graphics; Accepted for Publication.
  22. Wang, J., Lu, L. and Peeta, S. (2022). “Real-time Deployable and Robust Cooperative Control Strategy for a Platoon of Connected and Autonomous Vehicles by Factoring Uncertain Vehicle Dynamics,” Transportation Research, Part B: Methodological; Accepted for Publication.
  23. Agrawal, S., Peeta, S. and Benedyk, I. (2022). “Evaluating the Cognitive and Psychological Effects of Real-Time Auditory Travel Information on Drivers using EEG,” Behavior & Information Technology; DOI: 10.1080/0144929X.2022.2093273.
  24. He, X., Wang, J., Peeta, S. and Liu, H.X. (2022). “Day-to-day Signal Retiming Scheme for Single-Destination Traffic Networks based on a Flow Splitting Approach,” Networks and Spatial Economics; DOI: 10.1007/s11067-022-09566-9.
  25. Zhou, H., Zhou, A., Li, T., Chen, D., Peeta, S. and Laval, J. (2022). “Significance of Low-level Controller for String Stability under Adaptive Cruise Control,” Transportation Research, Part C: Emerging Technologies, 140, ID 103697.
  26. Xu, Y., Wang, Y. and Peeta, S. (2022). “Leveraging Transformer Model to Predict Vehicle Trajectories in Congested Urban Traffic,” Transportation Research Record: Journal of the Transportation Research Board; Accepted for Publication.
  27. Zhou, A., Wang, J. and Peeta, S. (2022). “Robust Control Strategy for Platoon of Connected and Autonomous Vehicles Considering Falsified Information Injected through Communication Links,” Journal of Intelligent Transportation Systems: Technology, Planning, and Operations; DOI: 10.1080/15472450.2022.2078203.
  28. Zhou, A., Peeta, S., Yang, M., and Wang, J. (2022). “Cooperative Intersection Control using Virtual Platooning and Traffic Flow Regulation,” Transportation Research, Part C: Emerging Technologies, 138, ID 103610.
  29. Zhou, H., Zhou, A., Laval, J., Liu, Y., and Peeta, S. (2022). “Incorporating Driver Relaxation Into Factory Adaptive Cruise Control to Reduce Lane Change Disruption,” Transportation Research Record: Journal of the Transportation Research Board; DOI: 10.1177/03611981221085517.
  30. Li, Y., Chen, B., Zhao, H., Peeta, S., Hu, S., Wang, Y. and Zheng, Z. (2022). “A Car-Following Model for Connected and Automated Vehicles with Heterogeneous Time Delays under Fixed and Switching Communication Topologies,” IEEE Transactions on Intelligent Transportation Systems; DOI: 10.1109/TITS.2021.3134419.
  31. Guo, Y., Peeta, S., Agrawal, S. and Benedyk, I. (2022). “Impacts of Pokémon GO on Route and Mode Choice Decisions: Exploring the Potential for Integrating Augmented Reality, Gamification, and Social Components in Mobile Apps to Influence Travel Decisions,” Transportation, Vol. 49, pp. 395-444.
  32. Guo, Y., Souders, D., Labi, S., Peeta, S., Benedyk, I. and Li, Y. (2021). “Paving the Way for Autonomous Vehicles: Understanding Autonomous Vehicle Adoption and Vehicle Fuel Choice under User Heterogeneity,” Transportation Research, Part A: Policy and Practice, Vol. 154, pp. 364-398.
  33. Agrawal, S. and Peeta, S. (2021). “Evaluating the Impacts of Situational Awareness and Mental Stress on Takeover Performance Under Conditional Automation,” Transportation Research, Part F: Traffic Psychology and Behaviour, Vol. 83, pp. 210-225.
  34. Agrawal, S. and Peeta, S. (2021). “Evaluating the Impacts of Driver’s Pre-warning Cognitive State on Takeover Performance Under Conditional Automation,” Transportation Research, Part F: Traffic Psychology and Behaviour, Vol. 83, pp. 80-98.
  35. Guo, Y., Agrawal, S., Peeta, S. and Benedyk, I. (2021). “Safety and Health Perceptions of Location-based Augmented Reality Gaming App and Their Implications,” Accident Analysis and Prevention, Vol. 161, ID 106354.
  36. Zhou, H., Laval, J., Zhou, A., Wang, Y., Wu, W., Qing, Z. and Peeta, S. (2021). “Review of Learning-Based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion,” Transportation Research Record: Journal of the Transportation Research Board; Vol. 2676, No. 1, pp. 324-341.
  37. Agrawal, S. and Peeta, S. (2021). “Hybrid Route Choice Model Incorporating Latent Cognitive Effects of Real-Time Travel Information Using Physiological Data,” Transportation Research, Part F: Traffic Psychology and Behaviour, Vol. 81, pp. 223-239.
  38. Lin, L., Gong, S., Peeta, S. and Wu, X. (2021). “Long Short-Term Memory-Based Human-Driven Vehicle Trajectory Prediction in a Connected and Autonomous Vehicle Environment,” Transportation Research Record: Journal of the Transportation Research Board; DOI: 10.1177/0361198121993471.
  39. Guo, Y., Li, Y., Anastasopoulos, P., Peeta, S. and Lu, J. (2021). “China’s Millennial Car Travelers’ Mode Shift Responses under Congestion Pricing and Reward Policies: A Case Study in Beijing,” Travel Behavior and Society, Vol. 23, pp. 86-99.
  40. Wang, J., Lu, L., Peeta, S. and He, Z. (2021). “Optimal Toll Design Problems under Mixed Traffic Flow of Human-driven Vehicles and Connected and Autonomous Vehicles,” Transportation Research, Part C: Emerging Technologies, Vol. 125, ID 102952.
  41. Wang, C., Peeta, S. and Wang, J. (2021). “Incentive-based Decentralized Routing for Connected and Autonomous Vehicles using Information Propagation,” Transportation Research, Part B: Methodological, Vol. 149, pp. 138-161.
  42. Wang, J., He, X., Peeta, S. and Yang, X. (2021). “Feedback Perimeter Control with Online Estimation of Maximum Throughput for an Incident-Affected Road Network,” Journal of Intelligent Transportation Systems: Technology, Planning, and Operations; DOI: 10.1080/15472450.2020.1797501.
  43. Zhao, H., Li, Y., Hao, W., Peeta, S. and Wang, Y. (2021). “Evaluating the Effects of Switching Period of Communication Topologies and Delays on Electric Connected Vehicles Stream with Car-Following Theory,” IEEE Transactions on Intelligent Transportation Systems; DOI: 10.1109/TITS.2020.3006122.
  44. Miralinaghi, M. and Peeta, S. (2020). “Design of a Multi-Period Tradable Credit Scheme Under Vehicular Emissions Caps and Traveler Heterogeneity in Future Credit Price Perception,” ASCE Journal of Infrastructure Systems, Vol. 26, No. 3, ID 04020030.
  45. Zhou, A., Gong, S., Wang, C. and Peeta, S. (2020). “Smooth Switching Control Based CACC by Considering Dynamic Information Flow Topology,” Transportation Research Record: Journal of the Transportation Research Board; Vol. 2674, No. 4, 444-458.
  46. Guo, Y., Wang, J., Peeta, S. and Anastasopoulos, P. (2020). “Personal and Societal Impacts of Motorcycle Ban Policy on Motorcyclists’ Home-to-Work Morning Commute in China,” Travel Behavior and Society, Vol. 19, pp. 137-150.
  47. Li, Y., Chen, Z., Yin, Y. and Peeta, S. (2020). “Deployment of Roadside Units to Overcome Connectivity Gap in Transportation Networks with Mixed Traffic,” Transportation Research, Part C: Emerging Technologies, Vol. 111, pp. 496-512.
  48. Guo, Y. and Peeta, S. (2020). “Impacts of Personalized Accessibility Information on Residential Location Choice and Travel Behavior,” Travel Behavior and Society, Vol. 19, pp. 99-111.
  49. Li, Y., Chen, W., Peeta, S. and Wang, Y. (2020). “Platoon Control of Connected Multi-Vehicle Systems under V2X Communications: Design and Experiments,” IEEE Transactions on Intelligent Transportation Systems, Vol. 21, No. 5, 1891-1902.
  50. Zheng, L., Guo, Y., Peeta, S. and Wu, B. (2020). “Impacts of Information from Various Sources on the Evacuation Decision-Making Process during No-Notice Evacuations in Campus Environment,” Journal of Transportation Safety and Security, Vol. 12, No. 7, pp. 892-923.
  51. Wang, C., Gong, S., Zhou, A., Li, T. and Peeta, S. (2020). “Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints,” Transportation Research, Part C: Emerging Technologies, Vol. 113, pp. 124-145.
  52. Miralinaghi, M., Peeta, S., He, X. and Ukkusuri, S. (2020). “Managing Morning Congestion with Tradable Credits Under Commuter Heterogeneity and Loss Aversion,” Transportmetrica B: Transport Dynamics, Vol. 7, No. 1, 1780-1808.
  53. Lin, L., Li, W. and Peeta, S. (2019). “Efficient Data Collection and Accurate Travel Time Estimation in a Connected Vehicle Environment via Compressive Sensing,” Journal of Big Data Analytics in Transportation; Vol. 1, No. 2-3, pp. 95-107.
  54. Wang, J., Peeta, S., Lu, L., and Li, T. (2019). “Multiclass Information Flow Propagation Control under Vehicle-to-Vehicle Communication Environments,” Transportation Research, Part B: Methodological, Vol. 129, pp. 96-121.
  55. Miralinaghi, M., and Peeta, S. (2019). “Promoting Zero-Emissions Vehicles Using Robust Multi-Period Tradable Credit Scheme,” Transportation Research, Part D: Transport and Environment, Vol. 75, pp. 265-285.
  56. Wang, J., Gong, S., Peeta, S., and Lu, L. (2019). “A Real-Time Deployable Model Predictive Control-Based Cooperative Platooning Approach for Connected and Autonomous Vehicles,” Transportation Research, Part B: Methodological, Vol. 128, pp. 271-301.
  57. Zheng, H., and Peeta, S. (2019). “System Optimum Dynamic Traffic Assignment with Departure Time Choice on Two-Terminal Networks,” Transportmetrica A: Transport Science, Vol. 15, No. 2, 1734-1761.
  58. Jordan, G., Anastasopoulos, P., Peeta, S., Somenahalli, S., and Rogerson, P.A. (2019). “Identifying Elderly Travel Time Disparities using a Correlated Grouped Random Parameters Hazard-Based Duration Approach,” Research in Transportation Business & Management, Vol. 30, ID 100369.
  59. Wang, J., Peeta, S. and He, X. (2019). “Multiclass Traffic Assignment Model for Mixed Traffic Flow of Human-Driven Vehicles and Connected and Autonomous Vehicles,” Transportation Research, Part B: Methodological, Vol. 126, pp. 139-168.
  60. Li, Y., Guo, Y., Peeta, S., and Lu, J. (2019). “Impacts of Congestion Pricing and Reward Strategies on Automobile Travelers’ Morning Commute Mode Shift Decisions,” Transportation Research, Part A: Policy and Practice, Vol. 125, pp. 72-88.
  61. Wang, C., Gong, S., Zhou, A., Li, T., and Peeta, S. (2019). “Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints,” Transportation Research, Part C: Emerging Technologies, Vol. 38, pp. 242- 262.
  62. Jeihani, M., Moghaddam, Z., Peeta, S. and Banerjee, S. (2019). “Comprehending the Roles of Traveler Perception of Travel Time Reliability on Route Choice Behavior,” Travel Behavior and Society, Vol. 16, pp. 13-22.
  63. Gong, S., Zhou, A., and Peeta, S. (2019). “Cooperative Adaptive Cruise Control for a Platoon of Connected and Autonomous Vehicles Considering Dynamic Information Flow Topology,” Transportation Research Record: Journal of the Transportation Research Board, 2673, pp. 185-198.
  64. Li, Y., Tang, C., Peeta, S., and Wang, Y. (2019). “Integral-Sliding-Mode Braking Control for Connected Vehicle Platoon: Theory and Application,” IEEE Transactions on Industrial Electronics, Vol. 66, No. 6, pp. 4618-4628.
  65. Li, Y., Tang, C., Peeta, S., and Wang, Y. (2019). “Nonlinear Consensus-Based Vehicular Platoon Control Incorporating Car-Following Interactions and Heterogeneous Time Delays,” IEEE Transactions on Intelligent Transportation Systems, Vol. 20, No. 6, pp. 2209-2219.
  66. Li, Y., Tang, C., Li, K., He, X., Peeta, S. and Wang, Y. (2019). “Consensus-Based Cooperative Control for Multi-Platoon under the Connected Vehicles Environment,” IEEE Transactions on Intelligent Transportation Systems, Vol. 20, No. 6, pp. 2220-2229.
  67. He, X., Zheng, H., Peeta, S. and Li, Y. (2019). “Network Design Model to Integrate Shelter Assignment with Contraflow Operations in Emergency Evacuation Planning,” Networks and Spatial Economics, Vol. 18, No. 4, pp. 1027-1050.
  68. Lin, L., He, B. and Peeta, S. (2018). “Predicting Station-level Hourly Demand in a Large-Scale Bike-Sharing Network: A Graph Convolutional Neural Network Approach,” Transportation Research, Part C: Emerging Technologies, Vol. 97, pp. 258-276.
  69. Kundur, D., Contreras, J., Srinivasan, D. Gatsis, N., Wang, S., and Peeta, S. (2018). “Introduction to the Issue on Signal and Information Processing for Critical Infrastructures,” IEEE Journal of Selected Topics in Signal Processing, Vol. 12, No. 4, pp. 575-577.
  70. Guo, Y., Wang, J., Peeta, S., and Anastasopoulos, P. (2018). “Impacts of Internal Migration, Household Registration System, and Family Planning Policy on Travel Mode Choice in China,” Travel Behavior and Society, Vol. 13, pp. 128-143.
  71. Benedyk, I. and Peeta, S. (2018). “A Binary Probit Model to Analyze Freight Transportation Decision-Maker Perspectives for Container Shipping on the Northern Sea Route,” Maritime Economics and Logistics, Vol. 20, No. 3, pp. 358-374. (Winner of Editor’s Choice Award, Palgrave Macmillan and Springer).
  72. Li, Y., Tang, C., Li, K., Peeta, S., He, X. and Wang, Y. (2018). “Nonlinear Finite-Time Consensus-Based Connected Vehicle Platoon Control under Fixed and Switching Communication Topologies,” Transportation Research, Part C: Emerging Technologies, Vol. 93, pp. 525-543.
  73. Miralinaghi, M. and Peeta, S. (2018). “A Multi-Period Tradable Credit Scheme Incorporating Interest Rate and Traveler Value-of-Time Heterogeneity to Manage Traffic System Emissions,” Frontiers in Built Environment: Transportation and Transit Systems, Vol. 4, Article 33, Open Access: doi.org/10.3389/fbuil.2018.00033.
  74. Wang, J., Peeta, S., He, X., and Zhao, J. (2018). “Combined Multinomial Logit Modal Split and Paired Combinational Logit Traffic Assignment Model,” Transportmetrica A: Transport Science, Vol. 14, No. 9, pp. 737-760.
  75. Kim, Y-H., Peeta, S. and He, X. (2018). “An Analytical Model to Characterize the Spatiotemporal Propagation of Information under Vehicle-to-Vehicle Communications,” IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 1, pp. 3-12.
  76. Li, Y., Zhang, L., Zheng, H., He, X., Peeta, S., Zheng, T. and Li, Y. (2018). “Nonlane- Discipline-Based Car-Following Model for Electric Vehicles in Transportation-Cyber- Physical-Systems,” IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 1, pp. 38-47.
  77. Wang, J., Kim, Y-H., He, X. and Peeta, S. (2018). “Analytical Model for Information Flow Propagation Wave under an Information Relay Control Strategy in a Congested Vehicle-to-Vehicle Communication Environment,” Transportation Research, Part C: Emerging Technologies, Vol. 94, pp. 1-18.