Collection

Humans and Autonomous Entities in Sustainable Intelligent Transportation Solutions

Submission status
Closed

As the core of modern society, cities play an increasingly vital role through the rapid progress of urbanization and civilization. We are dreaming of smart cities that will provide a highly efficient, comfortable, economically sound, and quality life to everyone by integrating advanced technologies in transportation systems. The emerging intelligent transportation system (ITS) and automated vehicle technologies can revolutionize the way people commute in smart cities. With the help of an ITS and autonomous vehicles, even terrestrial or aerial, communities can decrease traffic congestion, improve mobility and logistic flows and even improve air quality.

Additionally, during the last decade, many technological advances have been made in the field of driving automation systems. The system design challenge was to avoid obstacles and minimize the frequency and magnitude of system failures. Significant progress has been made to overcome these challenges. The progress raises the issue of cohabitation in a complex and risky environment (composed of other autonomous entities and human being for example), with a system that has not necessarily same logic of recognition and action. Hence, bringing the future advances in ITS and driving automation systems closer to everyone raises the challenge of greater integration of humans in and outside the vehicles.

This Article Collection focuses on the most recent and relevant developments toward realizing such intelligent future transportation systems.

Topics of interest for this issue include, but are not limited to:

-Operational models and intelligent solutions

-Automated and connected vehicles and shared mobility

-Agent-based simulations of shared mobility

-Human-in-the-loop, Human-on-the-loop

-Explainable Artificial Intelligence

-Advanced system optimization algorithms for shared mobility

-Multimodal and integrated shared mobility platforms

-IoT in shared mobilityRoutings & Protocols, Protocols for shared mobility systems

-Big data and shared mobility analytics

-Cognitive and context-aware intelligence

-Data Trustworthiness in shared mobility platforms

-Smartphone applications of shared mobility and user experiences

-Large-scale demand and supply simulation and models of shared mobility

-Sustainable and smart transport solutions

-Impacts of shared mobility solutions

-Real-time demand-responsive mobility

-Data mining and machine learning for shared mobility

-Integration of vehicle communication and shared mobility communication systems

Editors

  • Stéphane Galland Stéphane Galland , 

    Stéphane Galland

    Full Professor & Deputy Director, CIAD Laboratory, Belfort-Montbéliard University of Technology, France; E-Mail: stephane.galland@utbm.fr

  • Ansar-Ul-Haque Yasar Ansar-Ul-Haque Yasar  &

    Ansar-Ul-Haque Yasar

    Prof. Dr. Ansar Yasar is a professor at the Transportation Research Institute (IMOB) – Hasselt University Belgium. IMOB is the one of the top European institutes focusing on the broader themes of road safety and transport management using new modes of mobility. He is currently the Head of the Business Development Unit at the institute focusing on several applications including Safe Routes to Schools & Safe-Trucking system. Dr. Yasar’s broader research interests include smart cities & communities, connected & intelligent mobility, drones system management, road safety using smart transport solutions and mobility management.

  • Hui Zhao Hui Zhao

    Hui Zhao

    Postdoctoral Researcher, Tongji University, China

Articles (5 in this collection)