Trip Cost Estimation of Connected Autonomous Vehicle Mixed Traffic Flow in a Two-Route Traffic Network

Qi Zhang,Xiaoke Sun,Zhizhen Liu,Hong Chen,Hengrui Chen

doi:10.1155/2020/8884732

Abstract

With the advancement of connected autonomous vehicle (CAV) technology, research on future traffic conditions after the popularization of CAVs needs to be resolved urgently. Bounded rationality of human drivers is essential for simulating traffic flow precisely, but few studies focus on the traffic flow simulation considered bounded rationality in CAV mixed traffic flow. In this study, we introduce random bounded rationality into the hybrid feedback strategy (HFS) under CAV mixed traffic flow to explore the impacts of CAV penetration rate on the trip cost of vehicles. First, we investigated the bounded rationality of drivers, and we found that it follows normal contribution. Then, we proposed HFS considering random bounded rationality and the CAV penetration rate to simulate the traffic condition. The numerical results show that the enhancement of the CAV penetration rate could reduce total trip cost. The research could help us to simulate the CAVs mixed traffic flow more precisely and realistically.

Highlights

Along with the development of the Internet of vehicle technology and the autonomous vehicle technology, mixed traffic conditions of human-driven vehicles (HDVs) and connected autonomous vehicles (CAVs) should be studied [1, 2]
Journal of Advanced Transportation is paper has three main contributions: (1) we fit the distribution of values of random bounded rationality based on investigations; (2) the proposed hybrid feedback strategy (HFS) considered the randomness of drivers’ bounded rationality and the CAV penetration rate to simulate the traffic flow; (3) we explore the impacts of the CAV penetration rate on the trip cost in a two-route traffic network
Many feedback strategies were proposed to study the condition of the traffic flow in traffic networks [57], but the feedback strategies do not consider the randomness of bounded rationality and the penetration rate of CAVs in the mixed traffic flow of HDVs and CAVs

Summary

Introduction

Along with the development of the Internet of vehicle technology and the autonomous vehicle technology, mixed traffic conditions of human-driven vehicles (HDVs) and connected autonomous vehicles (CAVs) should be studied [1, 2]. Researchers have proposed many traffic flow models in previous studies. Traffic flow models could be generally divided into macromodels [3,4,5] and micromodels [6,7,8,9]. The researches above did not study the traffic flow models based on the mixed traffic conditions of HDVs and CAVs. Most studies focused on the traffic flow models of HDVs. Many researchers proposed car-following models to simulate the traffic flow based on HDVs, but they ignored the impacts of humans’ bounded rationality on the traffic flow operation.

Methods

Results

Discussion

Conclusion