Optimization Strategy for Car Following and Lane Changing Models of CAV in Mixed Traffic Environments

A mixed traffic environment is an environment where different types of agents, for instance, Connected Autonomous Vehicles, Human Driven Vehicles, and pedestrians in the same traffic space. In reality, such a mixed traffic environment is the most common for Connected Autonomous Vehicles, so it is pr

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.4108/eai.21-11-2024.2354623
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimization Strategy for Car Following and Lane Changing Models of CAV in Mixed Traffic Environments

Qing Ming Zhan, Wei-Hsuan Li, He Cui, Liming Chen
Traffic control and management
article

Optimization Strategy for Car Following and Lane Changing Models of CAV in Mixed Traffic Environments

Qing Ming Zhan, Wei-Hsuan Li, He Cui, Liming Chen
article en

Abstract

A mixed traffic environment is an environment where different types of agents, for instance, Connected Autonomous Vehicles, Human Driven Vehicles, and pedestrians in the same traffic space. In reality, such a mixed traffic environment is the most common for Connected Autonomous Vehicles, so it is pr

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Traffic control and management
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Optimization Strategy for Car Following and Lane Changing Models of CAV in Mixed Traffic Environments — Qing Ming Zhan, Wei-Hsuan Li, et al. · (2025) | TGRS Research Map | TGRS