Modeling and Analysis of Mixed Traffic Networks with Human-Driven and Autonomous Vehicles

The emergence of connected and automated vehicles (CAV) indicates improved traffic mobility in future traffic transportation systems. This study addresses the research gap in macroscopic traffic modeling of mixed traffic networks where CAV and human-driven vehicles coexist. CAV behavior is explicitl...

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Published in:Chinese journal of mechanical engineering 2024-11, Vol.37 (1), p.134-13, Article 134
Main Authors: Xu, Qing, Chen, Chaoyi, Chang, Xueyang, Cao, Dongpu, Cai, Mengchi, Wang, Jiawei, Li, Keqiang, Wang, Jianqiang
Format: Article
Language:English
Subjects:
Advanced Transportation Equipment
Algorithms
Automation
Autonomous vehicles
Connected and automated vehicle
Cooperation
Coordination
Efficiency
Electrical Machines and Networks
Electronics and Microelectronics
Engineering
Engineering Thermodynamics
Heat and Mass Transfer
Instrumentation
Integer programming
Machines
Macroscopic traffic model
Manufacturing
Mechanical Engineering
Methods
Modelling
Optimization
Original Article
Power Electronics
Processes
R&D
Research & development
Roads & highways
Simulation
Theoretical and Applied Mechanics
Traffic control
Traffic Coordination
Traffic flow
Transportation networks
Transportation systems
Travel time
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container_title Chinese journal of mechanical engineering
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creator Xu, Qing
Chen, Chaoyi
Chang, Xueyang
Cao, Dongpu
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Wang, Jiawei
Li, Keqiang
Wang, Jianqiang
description The emergence of connected and automated vehicles (CAV) indicates improved traffic mobility in future traffic transportation systems. This study addresses the research gap in macroscopic traffic modeling of mixed traffic networks where CAV and human-driven vehicles coexist. CAV behavior is explicitly included in the proposed traffic network model, and the vehicle number non-conservation problem is overcome by describing the approaching and departure vehicle number in discrete time. The proposed model is verified in typical CAV cooperation scenarios. The performance of CAV coordination is analyzed in road, intersection and network scenario. Total travel time of the vehicles in the network is proved to be reduced when coordination is applied. Simulation results validate the accuracy of the proposed model and the effectiveness of the proposed algorithm.
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subjects Advanced Transportation Equipment
Algorithms
Automation
Autonomous vehicles
Connected and automated vehicle
Cooperation
Coordination
Efficiency
Electrical Machines and Networks
Electronics and Microelectronics
Engineering
Engineering Thermodynamics
Heat and Mass Transfer
Instrumentation
Integer programming
Machines
Macroscopic traffic model
Manufacturing
Mechanical Engineering
Methods
Modelling
Optimization
Original Article
Power Electronics
Processes
R&D
Research & development
Roads & highways
Simulation
Theoretical and Applied Mechanics
Traffic control
Traffic Coordination
Traffic flow
Transportation networks
Transportation systems
Travel time
title Modeling and Analysis of Mixed Traffic Networks with Human-Driven and Autonomous Vehicles
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