Open AccessA Modified Mixed Car-following Model Considering that the Connected and Intelligent Vehicle and Non-connected Vehicle
Author(s) -
Junjie Zhang,
Miaomiao Liu,
Zhifeng Sun
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1910/1/012019
Subject(s) - computer science , penetration rate , intelligent transportation system , stability (learning theory) , automotive engineering , simulation , engineering , transport engineering , geotechnical engineering , machine learning
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.