Research on Speed Guidance Strategy at Continuous Signal Intersection Based on Vehicle–Road Coordination Technology
Wenli Li, An Li, Yongpeng Ren, Kan Wang- Artificial Intelligence
- Computer Science Applications
- Automotive Engineering
- Control and Systems Engineering
- General Medicine
<div>With the rapid growth of automobile ownership, traffic congestion has become a major concern at intersections. In order to alleviate the blockage of intersection traffic flow caused by signals, reduce the length of vehicle congestion and waiting time, and for improving the intersection access efficiency, therefore, this article proposes a vehicle speed guidance strategy based on the intersection signal change by combining the vehicle–road cooperative technology. The randomness of vehicle traveling speed in the road is being considered. According to the vehicle traveling speed, a speed guidance model is established under different conditions. Finally, the effectiveness of the speed guidance strategy in this article is verified through experimental simulation, and the benefits of the intersection with intelligent control and traditional control are compared, and the experimental results show that the intelligent control method in this article can effectively reduce vehicle congestion and waiting time, and when the penetration rate of the speed-guided intelligent connected vehicles reaches 100%, the length of traffic congestion of the vehicles passing through the intersection is reduced by 65.5%, and the average waiting time is decreased by 52.7%.</div>