Mitigating Traffic Congestion through Employing the Emerging Technologies in Sensing, Communication, Networking, and Computing

Dear Colleagues,

Traffic congestion is a formidable problem in urbanized cities as, increasingly, the ground traffic infrastructure available is insufficient to support the rising number of vehicles on the roads. Traffic congestion affects many aspects of modern society, including economic development and traveling time, and can even lead to health damage due to the emission of carbon dioxide (CO2). Therefore, alleviating road traffic congestion has become a key issue for highly urbanized cities that face traffic congestion every day.

 New emerging technologies in sensing, networking, communication, and computing have been designed to manage the problem of traffic congestion, and work by deploying on-road sensing networks to gather information about the vehicles on the roads. They detect congestion and suggest alternative routes and emergency exits to road users.

Combining these new emerging technologies in remote sensing, vehicular communication, and fog computing could help us move towards solving the problem of traffic congestion. This Special Issue aims to approach the problem of traffic congestion by covering the following research topics:

• Smart sensors: capable of sensing various physical properties to suit road and traffic conditions;
• On-road wireless sensor networks: able to sense, communicate and store the gathered traffic information for road users on a remote server;
• Software-Defined Vehicular Networks: utilize the flexibility and programming capabilities offered by SDN technology and incorporate Vehicular Fog Computing (VFC) that advocates the geographical deployment and hierarchically translates the administrative division of a city;
• Centralized/distributed data communication protocols: sensors on the roadside, roadside units, and in vehicles; consider the network QoS metrics such as high delivery rate, low latency, and low communication;
• Intelligent dynamic traffic rerouting strategies: suggest alternative routes to drivers and road users to avoid congested roads, leading to peak performance in terms of travel time, CO2 emission, and fuel consumption.

Prof. Dr. Liang Zhao
Prof. Dr. Ammar Hawbani
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. World Electric Vehicle Journal is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• Smart sensors
• On-road wireless sensor network
• Centralized/distributed data communication protocols
• Intelligent dynamic traffic rerouting strategies
• Vehicular Fog Computing
• Remote sensing
• Vehicular communication