Issue |
E3S Web Conf.
Volume 372, 2023
2023 4th International Conference on Urban Engineering and Management Science (ICUEMS2023)
|
|
---|---|---|
Article Number | 02015 | |
Number of page(s) | 7 | |
Section | Urban Traffic Management and Logistics Service | |
DOI | https://doi.org/10.1051/e3sconf/202337202015 | |
Published online | 06 March 2023 |
Optimization of Safety Facilities for Collision Analysis between Motor and Non-Motor Vehicles at Intersections
School of Traffic and Transportation, Beijing Jiao tong University
* 21120774@bjtu.edu.cn
a jhma@bjtu.edu.cn
With the increasing number of the motor and non-motor vehicles, conflicts and safety risks between motor vehicles and non-motor vehicles are increasing. Among them, the collision between right-turning vehicles and non-motor vehicles going straight leads to traffic accidents accounting for up to 50% of the non-accident cases at intersections. The intersection of Erdos East Street and Xing an’ South Road in Hohhot City is selected as the research object. Analyze the conflict between right-turning motor vehicles and non-motor vehicles. The optimized design was carried out from three perspectives: right-turn channelization island design, road deceleration facilities layout, and signal control, and the road network model was built with VISSIM survey data to demonstrate and evaluate the scheme. The results show that when the traffic volume is unchanged, the number of non-collision decreases and the passage time of non-motor vehicles decreases by 4%. The travel time for left-turn vehicles also dropped 16 percent. It shows that the collision between motor vehicles and non-motor vehicles at right-turn intersections is significantly improved through the above optimal design scheme.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.