Journal of Advanced Transportation

Connected and Autonomous Technology Applications and Modeling Analysis for Commercial and Shared Vehicle Operations


Publishing date
01 Jan 2022
Status
Published
Submission deadline
27 Aug 2021

Lead Editor

1Beijing Jiaotong University, Beijing, China

2Delft University of Technology, Delft, Netherlands

3University of Utah, Salt Lake City, USA

4Korea Institute of Civil Engineering and Building Technology, Seoul, Republic of Korea

5Santa Clara Valley Transportation Authority, San Jose, USA


Connected and Autonomous Technology Applications and Modeling Analysis for Commercial and Shared Vehicle Operations

Description

Commercial and shared vehicles such as trucks, buses, taxis, and ride-hailing or ride-sharing services play an important role in the modern transportation system and provide essential services for both people and businesses. Connected and autonomous vehicle (CAV) technologies are fast-evolving and are changing today’s urban mobility landscape. These enabling technologies are having a revolutionary impact on the transportation industry, especially on commercial or shared vehicles, such as trucks, buses, taxis, and ride-hailing or ride-sharing services, since these vehicles are more likely to be the early adopters of such technologies.

With the advancement of CAV technology, challenges exist not only for transportation management but also for the industrial operation of commercial and shared vehicles. There is, therefore, a strategic need for transportation practitioners as well as researchers to discuss state-of-the-art implementation, the latest methodological developments, and potential impact analysis, allowing the improvement of commercial and shared vehicle operation efficiency and safety, the filling of the service gap, and the provision of cost-efficient services for customers. More research is required into how operating patterns and travel behaviors will be affected by the application of CAV technology, while the full eco-friendly benefits are still unknown. New infrastructures and policies are needed in response to these changes, as are innovative methods of adoption of these technologies. Exploring, analyzing, and developing solutions to these problems will result in a better understanding of the influence of CAV technology and the associated business trends, and will facilitate the improvement of services, which has significant implications for embracing the opportunities and challenges of future mobility.

The aim of this Special Issue is to bring academic researchers and industry developers together to share recent advances and future trends for the application of CAV technology in commercial and shared vehicle operations and to present the latest theoretical ideas and methodological developments in its related impact analysis. A particular emphasis will be brought to interdisciplinary work and innovative ideas. We welcome submissions on emerging CAV technologies and services related to commercial or shared vehicles and their infrastructure, operations, policy requirements, and impacts. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • CAV technology testing and operational analysis for commercial or shared vehicles
  • Simulation evaluation on the application of CAV technology for commercial or shared vehicles
  • CAV technology development for trucks and vans
  • CAV technology development for buses, taxis, and ride-hailing or ride-sharing vehicles
  • Environmental impacts from CAV applications for commercial or shared vehicles
  • The impact on energy usage from CAV applications for commercial or shared vehicles
  • Diverse needs and travel behavior analysis for CAV applications for commercial or shared vehicles
  • Infrastructure requirements for system design with CAV technologies
  • Human factors and safety performance for CAV technology applied to commercial or shared vehicle operations
  • Operation planning and fleet management for CAV technology applied to commercial or shared vehicle operations
Journal of Advanced Transportation
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Acceptance rate22%
Submission to final decision126 days
Acceptance to publication18 days
CiteScore3.900
Journal Citation Indicator0.480
Impact Factor2.3
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