Modelling heterogeneous traffic dynamics by considering the influence of V2V safety messages. Issue 4 (24th February 2020)

• Record Type: Journal Article
• Authors: Li, Tenglong; Hui, Fei; Zhao, Xiangmo; Liu, Ce; Ngoduy, Dong
• Is Part Of: IET intelligent transport systems. Volume 14:Issue 4(2020)
• Page Start: 220
• Page End: 227
• Publication Date: 2020-02-24
• Subjects: automobiles -- data analysis -- data mining -- road traffic -- road safety -- traffic engineering computing; V2V safety messages -- heterogeneous traffic flow dynamics -- connected vehicles -- CVs -- current mixed traffic flow models -- heterogeneous car‐following model -- data mining results -- vehicle‐to‐vehicle safety messages -- analytically critical stability criterion -- heterogeneous model -- linear stability analysis -- heterogeneous traffic stability -- critical stability condition -- traffic safety -- nearest‐neighbour leading vehicle -- heterogeneous traffic flow stability -- field experimental data analysis -- market penetration rate; Intelligent transportation systems -- Periodicals; Electronics in transportation -- Periodicals; 388.31205
• DOI: 10.1049/iet-its.2019.0361
• Languages: English
• ISSNs: 1751-956X

Abstract

Abstract : In recent years, more attention has been paid to the study of modelling heterogeneous traffic flow dynamics consisting of regular vehicles (RVs) and connected vehicles (CVs). However, the establishment of current mixed traffic flow models mostly lacks the support of field experimental data analysis results. In this study, a new heterogeneous car‐following model is presented on the basis of data mining results to study the impact of vehicle‐to‐vehicle (V2V) safety messages on traffic flow stability. The analytically critical stability criterion of this proposed heterogeneous model is obtained by linear stability analysis. Then, the effect of the market penetration rate (MPR) of CVs on heterogeneous traffic stability is investigated. Finally, simulation experiments are carried out under periodic boundary conditions to test the critical stability condition. Both the theoretical derivation and simulation experiment results show that the traffic flow stability can decline despite improvements in traffic safety in the case of considering only the safety information of the nearest‐neighbour leading vehicle. However, both the safety and stability of traffic flow can be enhanced by considering the V2V messages of more leading vehicles. Moreover, the heterogeneous traffic flow stability is improved with an increase in the MPR of CVs.