Journal of Advanced Transportation

Advances in Modelling Connected and Automated Vehicles


Status
Published

Lead Editor

1University of Technology Sydney, Sydney, Australia

2University of South Florida, Tampa, USA

3Delft University of Technology, Delft, Netherlands

4University of New South Wales, Sydney, Australia


Advances in Modelling Connected and Automated Vehicles

Description

Connected vehicles are those that communicate with neighbouring vehicles (V2V) and nearby infrastructure (V2I). Automated vehicles are those that are partially or completely controlled by computers with less or no intervention from human drivers. Recent developments of V2V, V2I, and vehicle automation technologies have enabled the concept of the connected and automated vehicles (CAVs) to be tested and explored in practice. It is predicted that very soon CAVs will share transport infrastructure with conventional vehicles, which may fundamentally revolutionize our transport systems. With coordination, cooperation, and automation, many believe that CAVs hold the potential to improve transport safety, efficiency, and sustainability. However, detailed modelling and technical paths for our existing transport systems to fully capitalize on the CAV concept are yet to be explored, investigated, and examined. It is urgent now to develop innovative ideas of utilizing CAVs technologies to improve our transport systems from various aspects, scales, and dimensions. This special issue is focused on the recent advances in modelling connected and automated vehicles. Applications of CAVs eliminate or alleviate traffic bottlenecks and increase traffic capacity

Potential topics include but are not limited to the following:

  • The use of CAVs to improve traffic safety and sustainability (e.g., less fuel consumption and emissions)
  • Applications of CAVs to harmonize traffic flow
  • Applications of CAVs in vehicle routing problems
  • Characteristics of mixed traffic flow combining conventional, connected, and automated vehicles
  • CAVs and macroscopic traffic flow models
  • CAVs and dynamic and static network modelling
  • CAVs and traffic signal control
  • CAVs and human behaviour
  • CAVs and scheduling
  • CAVs and multimodality
  • Innovations on CAV testbeds
  • Applications of CAV in shared mobility
  • Applications of CAV in logistics and supply chain

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 3268371
  • - Editorial

Advances in Modelling Connected and Automated Vehicles

Xiaobo Qu | Xiaopeng Li | ... | Vinayak Dixit
  • Special Issue
  • - Volume 2017
  • - Article ID 9203251
  • - Research Article

PaTAVTT: A Hardware-in-the-Loop Scaled Platform for Testing Autonomous Vehicle Trajectory Tracking

Zhigang Xu | Mingliang Wang | ... | Xiangmo Zhao
  • Special Issue
  • - Volume 2017
  • - Article ID 6218363
  • - Research Article

Commute Equilibrium for Mixed Networks with Autonomous Vehicles and Traditional Vehicles

Yangbeibei Ji | Mingwei Xu | ... | Chaowu Tan
  • Special Issue
  • - Volume 2017
  • - Article ID 7318917
  • - Research Article

A Genetic Algorithm Approach for Expedited Crossing of Emergency Vehicles in Connected and Autonomous Intersection Traffic

Qiang Lu | Kyoung-Dae Kim
  • Special Issue
  • - Volume 2017
  • - Article ID 8142074
  • - Research Article

Characteristic Analysis of Mixed Traffic Flow of Regular and Autonomous Vehicles Using Cellular Automata

Yangzexi Liu | Jingqiu Guo | ... | Yibing Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 3082781
  • - Research Article

Will Automated Vehicles Negatively Impact Traffic Flow?

S. C. Calvert | W. J. Schakel | J. W. C. van Lint
  • Special Issue
  • - Volume 2017
  • - Article ID 9213805
  • - Research Article

A -Strategy: Facilitating Dual-Formation Control of a Virtually Connected Team

Bibhya Sharma | Jito Vanualailai | Avinesh Prasad
  • Special Issue
  • - Volume 2017
  • - Article ID 8132769
  • - Research Article

Accelerated Lane-Changing Trajectory Planning of Automated Vehicles with Vehicle-to-Vehicle Collaboration

Haijian Bai | Jianfeng Shen | ... | Zhongxiang Feng
  • Special Issue
  • - Volume 2017
  • - Article ID 2750452
  • - Research Article

DSRC versus 4G-LTE for Connected Vehicle Applications: A Study on Field Experiments of Vehicular Communication Performance

Zhigang Xu | Xiaochi Li | ... | Zhongren Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 5649823
  • - Research Article

Optimal Signal Design for Mixed Equilibrium Networks with Autonomous and Regular Vehicles

Nan Jiang
Journal of Advanced Transportation
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 Journal metrics
Acceptance rate36%
Submission to final decision106 days
Acceptance to publication75 days
CiteScore3.000
Impact Factor1.670
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