A Modified Mixed Car-following Model Considering that the Connected and Intelligent Vehicle and Non-connected Vehicle

• Published in: Journal of physics. Conference series Vol. 1910; no. 1; pp. 12019 - 12024
• Main Authors: Zhang, Junjie, Liu, Miaomiao, Sun, Zhentian
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.05.2021
• Subjects: Car following; Connected and intelligent vehicle; Driver’s perception error; Flow stability; Intelligent vehicles; Mixed traffic flow; Perception; Physics; Road transportation; Safety margins; String stability; Traffic flow; Traffic models; Transportation systems; Vehicles
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1910/1/012019

Abstract With the development of networking and intelligence, a mixture of multi-type vehicles will become normal in the road transportation system, which lead to more complex for vehicle motion in microscopic traffic system. Therefore, non-connected vehicle car-following model is established considering the subjective perception errors of preceding vehicles based on the desired safety margin model. Moreover, the effective range of vehicle-to-vehicle communication is considered, and the connected and intelligent vehicle car-following model considering the multi-vehicles information perception effect is constructed. We investigated the influence of penetration rate of the connected and intelligent vehicle on the stability of mixed traffic. Numerical simulations results show that the connected and intelligent vehicle can improve the mixed traffic flow stability to a certain extent. And setting reasonable feedback gain coefficients for connected and intelligent vehicle car-following model can stabilize mixed traffic flow.