@inproceedings{01d3ba963d024e2aae997b5528e9c17e,
title = "CAV Control Strategy for Pedestrian Crossings on Non-Signaled Sections Based on Spatiotemporal Resource Reservation",
abstract = "In a connected environment, to improve the traffic safety and efficiency of midblock pedestrian crosswalks on unsignalized road segments, this paper proposes a CAV control strategy based on spatiotemporal resource reservation that is both effective and scalable. This strategy reserves spatiotemporal resources for pedestrians crossing the street while achieving fine-grained lane-specific control of CAVs, thereby better resolving conflicts between multiple vehicles and pedestrians on multi-lane road segments. The effectiveness of the proposed strategy is verified through simulations using SUMO, considering metrics such as average stop time and average delay time.",
author = "Yikang Huang and Binglei Xie",
note = "Publisher Copyright: {\textcopyright} ASCE.; 25th COTA International Conference of Transportation Professionals, CICTP 2025 ; Conference date: 22-07-2025 Through 25-07-2025",
year = "2025",
doi = "10.1061/9780784486269.083",
language = "英语",
series = "CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "866--875",
editor = "Guohui Zhang and Zhenhong Lin and Cong Chen and Jun Liu and Shiqi Ou and Qianqian Yan",
booktitle = "CICTP 2025",
address = "美国",
}