| Short duration crash prediction for rural two-lane roadways: applying explainable artificial intelligence Z Wei, S Das, Y Zhang Transportation research record 2676 (12), 535-549, 2022 | 14 | 2022 |
| Applying explainable machine learning techniques in daily crash occurrence and severity modeling for rural interstates Z Wei, Y Zhang, S Das Transportation research record 2677 (5), 611-628, 2023 | 12 | 2023 |
| Applying an interpretable machine learning framework to study mobility inequity in the recovery phase of COVID-19 pandemic Z Li, Z Wei, Y Zhang, X Kong, C Ma Travel Behaviour and Society 33, 100621, 2023 | 6 | 2023 |
| In-depth understanding of pedestrian–vehicle near-crash events at signalized intersections: An interpretable machine learning approach X Kong, S Das, Y Zhang, Z Wei, C Yuan Transportation research record 2677 (5), 747-759, 2023 | 3 | 2023 |
| Develop a real-time decision support tool for rural roadway safety improvements S Das, S Geedipally, K Fitzpatrick, E Park, L Wu, Z Wei, I Tsapakis, S Paal Texas Department of Transportation, Austin, 2022 | 3 | 2022 |
| Modeling capacity of through movement at signalized intersection affected by short left-turn bay under different signal settings Z Wei, Y Zhang, X Guo, X Zhang Transportation research record 2675 (9), 1209-1223, 2021 | 3 | 2021 |
| Mining crowdsourced data on bicycle safety critical events S Das, Z Wei, X Kong, X Xiao Transportation research interdisciplinary perspectives 10, 100360, 2021 | 2 | 2021 |
| Safety and Operations of Automated Delivery Vehicles: A Scoping Review S Das, Z Wei, V Ravuri | 2 | 2021 |
| Scientometric and bibliographic analysis of pedestrian safety research S Das, X Kong, Z Wei, J Liu Transportation research record 2677 (12), 65-82, 2023 | 1 | 2023 |
| Equitable Traffic Crash Prediction Framework To Support Safety Improvement Grants Allocation Z Wei, Z Li, MM Kulkarni, X Yue Institute of Transportation Engineers. ITE Journal 93 (9), 37-45, 2023 | 1 | 2023 |
| Autonomous Delivery Vehicle as a Disruptive Technology: How to Shape the Future with a Focus on Safety? S Das, I Tsapakis, Z Wei, Z Elgart, B Kutela, V Vierkant, E Li SAFE-D: Safety Through Disruption National University Transportation Center, 2022 | 1 | 2022 |
| Supporting equitable and responsible highway safety improvement funding allocation strategies–Why AI prediction biases matter Z Wei, Y Zhou, Z Li, M Kulkarni, Y Zhang Accident Analysis & Prevention 202, 107585, 2024 | | 2024 |
| Modeling the lagged impacts of hourly weather and speed variation factors on the segment crash risk of rural interstate freeways: Applying a space–time-stratified case … Z Wei, S Das, Y Wu, Z Li, Y Zhang Accident Analysis & Prevention 195, 107411, 2024 | | 2024 |
| Discover Physically Analyzable Governing Nonlinearities of Traffic Network Flow Dynamics Z Wei, Y Zhou, L Du, Y Zhang Available at SSRN 4760715, 2024 | | 2024 |
| Rules mining on hybrid electric vehicle consumer complaint database S Das, Z Wei, A Dutta Journal of Transportation Safety & Security 15 (10), 987-1007, 2023 | | 2023 |
| Probing into Driver Speeding Patterns and Their Influence on Child Occupancy in Urban Areas S Das, X Kong, Z Wei, X Xiao, D Mills, A Hossain Transportation Research Record, 03611981231188374, 2023 | | 2023 |
| INVESTIGATING THE IMPACT OF ROADWAY GEOMETRY, SPEED DISTRIBUTION, AND WEATHER CONDITION ON ROADWAY DAILY CRASH OCCURRENCE AND SEVERITY BY USING MACHINE LEARNING METHODS Z Wei | | 2021 |
Subasish DasAssistant Professor, Texas State UniversityVerified email at txstate.edu
