A Speed Guidance Strategy at Intersections Based on Multiple Regression Analysis in the Connected Vehicles Environment

Abstract

In order to reduce the delay of vehicles driving through signalized intersections and improve the passing efficiency, this paper proposes a speed guidance strategy for signalized intersections in the Connected Vehicles environment. The data of the vehicle movement process is obtained through connected vehicles, and the relationship between the movement parameters is analyzed by multiple regression analysis. The target speed calculation model is established with the minimum total vehicle delay, and the vehicles are guided through the intersection differently according to different target speeds. The strategy is simulated in combination with actual cases, and the results show that the travel delays can be significantly reduced.