Driver’s lane selection model based on multi-player dynamic game

Xiao-Yuan Wang,Zhi-Guo Liu,Hai-Xia Zhao,Fang Wang,Ya-Qi Liu,Jun-Feng Xin

doi:10.1177/1687814018819903

Abstract

With a view to the background of Internet of Things, the vehicle group situation, especially the propensity of different drivers, and the corresponding vehicle types were given a comprehensive consideration on the basis of the factors which influence driving behavior, and the drivers’ lane selection model based on multi-player dynamic game with complete information was built. The drivers’ payoffs under different combination of lane selection strategies were analyzed, and on this basis, the subgame perfect Nash equilibrium solution was solved through backward induction, and the drivers’ optimal lane selection strategy was obtained. Next-Generation Simulation datasets and other data were applied for model calibration and validation. The results showed that the proposed model can objectively reflect the actual operation characteristic of traffic flow on road section. So, it is of great significance to apply the multi-person dynamic game in the field of intelligent transportation. And the theoretical basis of the research on lane selection decision-making can be provided for the command system of intelligent driving especially anthropomorphic driving under the condition of Internet of Things.

Highlights

With the rapid development of the transportation industry, the car ownership has increased rapidly
The Next-Generation Simulation (NGSIM) data set was used to calibrate the model constructed in this article
The status and operations of the target vehicle and its surrounding vehicles can be ascribed to the change and transformation of vehicle group situation, and the dynamic game model between target vehicle and the vehicle group situation it located can be constructed to avoid the influence of the order of play

Summary

Introduction

With the rapid development of the transportation industry, the car ownership has increased rapidly. The contradiction among people, vehicle, and environment has become increasingly conspicuous, and the traffic safety is becoming more and more serious. Lane changing is one of the main factors affecting traffic safety, and lane selection which needs drivers to analyze all kinds of information and consider a variety of factors in an instant is an important part of lane changing, and the rationality of lane selection is directly related to driving safety. The multi-source information of people– vehicle–environment can be collected and shared through Internet of Things, which can provide decision-making basis for driver’s lane selection process and improve the active safety of driver and vehicle. It is of great practical significance to deeply study the lane selection behavior under the condition of Internet of Things, and it can provide a theoretical basis for the lane selection research of intelligent driving, especially the anthropopathic driving.

Methods

Discussion

Conclusion