| Adaptive forward collision warning system for hazmat truck drivers: considering differential driving behavior and risk levels Y Shao, X Shi, Y Zhang, Y Zhang, Y Xu, W Chen, Z Ye Accident Analysis & Prevention 191, 107221, 2023 | 10 | 2023 |
| Bike-sharing systems rebalancing considering redistribution proportions: A user-based repositioning approach Y Zhang, Y Shao, H Bi, L Aoyong, Z Ye Physica A: Statistical Mechanics and its Applications 610, 128409, 2023 | 7 | 2023 |
| Injury severity prediction and exploration of behavior-cause relationships in automotive crashes using natural language processing and extreme gradient boosting Y Shao, X Shi, Y Zhang, N Shiwakoti, Y Xu, Z Ye Engineering Applications of Artificial Intelligence 133, 108542, 2024 | 4 | 2024 |
| Risk-informed longitudinal control in autonomous vehicles: A safety potential field modeling approach Y Shao, Z Han, X Shi, Y Zhang, Z Ye Physica A: Statistical Mechanics and its Applications 633, 129419, 2024 | 1 | 2024 |
| A Testing and Evaluation Method for the Car-Following Models of Automated Vehicles Based on Driving Simulator Y Zhang, Y Shao, X Shi, Z Ye Systems 12 (8), 298, 2024 | | 2024 |
| Exploring Optimal Signal Plans for Isolated Signalized Intersections with Central Pedestrian Refuges W Chen, L Hu, K Huang, H Zhang, E Chen, Y Shao, Z Ye Journal of Transportation Engineering, Part A: Systems 150 (5), 04024018, 2024 | | 2024 |
| A Virtual Vehicle–Based Car‐Following Model to Reproduce Hazmat Truck Drivers’ Differential Behaviors Y Shao, Y Zhang, Y Zhang, X Shi, N Shiwakoti, Z Ye Journal of Advanced Transportation 2024 (1), 5041012, 2024 | | 2024 |
| Classifying Hazmat Truck Drivers’ Response Styles to ADAS Warnings Using Naturalistic Driving Data Y Shao, X Shi, Y Zhang, Y Zhang, Y Xu, Z Ye Available at SSRN 4405630, 0 | | |
