An extended two-lane car-following model considering the influence of heterogeneous speed information on drivers with different characteristics under honk environment

Bin Yu, Huixin Zhou, Lin Wang, Zirui Wang and Shaohua Cui

Physica A: Statistical Mechanics and its Applications, 2021, vol. 578, issue C

Abstract: As the driver is the decision-maker and executor of driving behavior, the driver’s subjective awareness plays a considerable role in the traffic environment. In the real two-lane traffic environment with no isolation zone, the speed of surrounding vehicles will affect the driver’s car-following behavior on the main road. Drivers with different characteristics are likely to react differently to the same information. Therefore, providing heterogeneous information to the driver may improve the stability of the traffic flow. Considering the influence of the heterogeneous information of the preceding vehicle speed on drivers with different characteristics, an extended car-following model that also considers the speed of adjacent lanes under the honk effect is proposed in this paper. The results of linear stability analysis show that timid drivers and skilled drivers are more beneficial to improve the stability of traffic flow. In addition, providing heterogeneous information for drivers of different personalities has a positive effect on maintaining the stability of the traffic flow. The simulation results are consistent with the theoretical results, which proves that the proposed model can effectively characterize the car-following behavior and has good stability.

Keywords: Car-following model; Heterogeneous speed; Honk environment; Driver characteristics (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:578:y:2021:i:c:s0378437121002946

DOI: 10.1016/j.physa.2021.126022

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