An approach for evaluating traffic safety of expressway weaving segments: Investigating risk patterns of lane-changing conflicts
Author:
Affiliation:
1. Navigation College, Jimei University, Xiamen, China
2. School of Transportation, Southeast University, Nanjing, China
3. Department of Civil and Environment Engineering, National University of Singapore, Singapore, Singapore
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/19439962.2024.2372292
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4. Alizadeh, A., Moghadam, M., Bicer, Y., Ure, N. K., Yavas, U., & Kurtulus, C. (2019, October). Automated lane change decision making using deep reinforcement learning in dynamic and uncertain highway environment [Paper presentation]. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 1399–1404).
5. Capacity-drop at extended bottlenecks: Merge, diverge, and weave
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