Journal of Advanced Transportation

Partially Connected and Automated Traffic Operations in Road Transportation

Publishing date
01 Jul 2019
Submission deadline
22 Feb 2019

Lead Editor

1Monash University, Subang Jaya, Malaysia

2The University of Sydney, Sydney, Australia

3University of California, Riverside, USA

4Aalto University, Helsinki, Finland

5Oak Ridge National Laboratory, Oak Ridge, USA

6IFSTTAR, Marne-la-Vallee, France

Partially Connected and Automated Traffic Operations in Road Transportation


The road transportation system is heading towards the connected and automated paradigm. Automated (also known as autonomous) vehicles are being experimented on and they are not far from appearing in the market on a large scale. Wireless connectivity in various forms, for example, vehicle-to-vehicle or infrastructure (V2X), is being introduced that obviously enhances perception of traffic environment. With all vehicles being connected and automated, the resulting transportation system will operate in a fully automated manner, achieving undoubtedly improved traffic performances. However, the transition from currently unconnected to fully connected and/or automated transportation is anticipated to be gradual, with uncertain effects on traffic operation and environmental pollution. Consequently, a partially connected-automated vehicle environment (PCAVE) and mixed manual-automated traffic (MMAT) sharing the same infrastructure will dominate for a few decades. How the transportation system can benefit from the PCAVE is going to be a focal research issue from now on.

This special issue aims at compiling innovative technologies related to the PCAVE for advanced transportation and bringing them to the spotlight of the intelligent transportation systems (ITS). The scopes of this special issue broadly cover high quality research and review articles on modeling, simulation, experiments, and analysis of vehicular traffic focusing on real time data driven techniques in the PCAVE or CAVE. Specifically addressing the PCAVE, contributions to the state-of-the-art approaches of advanced driver assistance system (ADAS), autonomous driving, cooperative, optimal, and distributed control of vehicles, ecodriving, cooperative traffic signal coordination control, traffic management, multimodal connected and automated systems, and traffic safety enhancement are highly expected. The articles must be original, unpublished, or not currently under review by any other journals. For this special issue, we welcome new research articles addressing the partially connected-automated vehicle environment and mixed manual-automated traffic.

Potential topics include but are not limited to the following:

  • Mathematical modeling and simulation of vehicular traffic network
  • Cyber physical human systems modeling and control
  • Cooperative and distributed control and management of traffic
  • Multimodal connected and automated systems
  • Ecological driving techniques on diverse transportation scenarios
  • Applications of artificial intelligence techniques in the context of intelligent transportation systems
  • Advanced driver assistance systems (ADAS)
  • V2X communication and cloud or edge computing
  • Perception of traffic state and environment from limited V2X data
  • Connectivity and automation in freight systems


  • Special Issue
  • - Volume 2020
  • - Article ID 9490586
  • - Editorial

Partially Connected and Automated Traffic Operations in Road Transportation

Md Abdus Samad Kamal | Mohsen Ramezani | ... | Olivier Orfila
  • Special Issue
  • - Volume 2019
  • - Article ID 6125798
  • - Research Article

Modeling and Prediction of Ride-Sharing Utilization Dynamics

Tal Altshuler | Yaniv Altshuler | ... | Yoram Shiftan
  • Special Issue
  • - Volume 2019
  • - Article ID 9343705
  • - Review Article

Simulation-Based Connected and Automated Vehicle Models on Highway Sections: A Literature Review

Wooseok Do | Omid M. Rouhani | Luis Miranda-Moreno
  • Special Issue
  • - Volume 2019
  • - Article ID 8151582
  • - Research Article

Modified Traffic Flow Model with Connected Vehicle Microscopic Data for Proactive Variable Speed Limit Control

Jie Fang | Huixuan Ye | Said M. Easa
  • Special Issue
  • - Volume 2018
  • - Article ID 4251701
  • - Research Article

Context-Aware Intelligent Traffic Light Control through Secure Messaging

Mükremin Özkul | Ilir Capuni | Elton Domnori
  • Special Issue
  • - Volume 2018
  • - Article ID 7835010
  • - Research Article

Modeling Microscopic Car-Following Strategy of Mixed Traffic to Identify Optimal Platoon Configurations for Multiobjective Decision-Making

Mudasser Seraj | Jiangchen Li | Zhijun Qiu
  • Special Issue
  • - Volume 2018
  • - Article ID 4276593
  • - Research Article

Potentialities of Autonomous Vehicles for Online Monitoring of Motorway Traffic Volume

Hyun-ho Chang | Byoung-jo Yoon
  • Special Issue
  • - Volume 2018
  • - Article ID 5679064
  • - Research Article

A Separation Strategy for Connected and Automated Vehicles: Utilizing Traffic Light Information for Reducing Idling at Red Lights and Improving Fuel Economy

Lin-heng Li | Jing Gan | Wen-quan Li
Journal of Advanced Transportation
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Acceptance rate27%
Submission to final decision114 days
Acceptance to publication24 days
Journal Citation Indicator0.480
Impact Factor2.3

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