The Study of Fixed-Time Signal Intersection Speed Control Strategy Based on Cooperative Vehicle Infrastructure

2020-01-5212

12/30/2020

Features
Event
3rd International Forum on Connected Automated Vehicle Highway System through the China Highway & Transportation Society
Authors Abstract
Content
In order to reduce the blocking of traffic flow of the signalized intersection on the urban road, for individual vehicles can interact the information with the roadside facilities and the intersection control system under the connected vehicle environment, a speed control strategy in the signalized intersection is proposed. The method consists of two levels, i.e., optimal control range and onboard vehicle speed control. The paper calculates the optimal traffic velocity and vehicles’ arrival time to minimize the total travel time of all vehicles. The purpose of the vehicle passing through the intersection without stops under the guidance of speed guiding strategy could be achieved by analyzing the speed and position of the vehicle and judging whether the vehicle under different driving states can pass. The proposed speed control strategy was analyzed and evaluated in the established simulation environment based on the microscopic traffic simulator VISSIM and Python. A typical intersection is selected as an example, in which the travel time and delay without speed control strategy are compared with that of different speed control strategies. The results show that when vehicles go through intersections, the average travel time is reduced by at least 15%. With the increase of volume, the impact can be increased to 50%. Besides vehicle delay of intersection are reduced significantly by 10~30% with different control segment length.
Meta TagsDetails
DOI
https://doi.org/10.4271/2020-01-5212
Pages
7
Citation
Gu, H., Yu, Y., Li, Z., Liu, N. et al., "The Study of Fixed-Time Signal Intersection Speed Control Strategy Based on Cooperative Vehicle Infrastructure," SAE Technical Paper 2020-01-5212, 2020, https://doi.org/10.4271/2020-01-5212.
Additional Details
Publisher
Published
Dec 30, 2020
Product Code
2020-01-5212
Content Type
Technical Paper
Language
English