Special Issue "Sustainable Energy Management in Intelligent Transportation"

Submission Deadline: 19 January 2021 (closed)
Guest Editors
Ali Kashif Bashir, Manchester Metropolitan University, United Kingdom.
M. Omair Shafiq, Carleton University, Canada.
Nawab Muhammad Faseeh Qureshi, Sungkyunkwan University, South Korea.
Muhammad Shafiq, Guangzhou University, China.

Summary

Intelligent transportation today is going through rapid evolution. It finds a rapid number of applications with diverse features and functionalities across heterogeneous networks. In general, Intelligent transportation systems (ITS) today is a cutting edge research development that makes use of connectivity and automation to optimize mobility to offer a wide range of transportation services. However, the increasing availability and affordability of smart transportation systems have increased the interest of smart energy management across these applications. It is estimated that intelligent transportation systems account for more than 40% of the total energy consumption globally, with increased emission of greenhouse gases across the environment. However, with the growing evolution of modern computing and technology, there will be an increasing trend of transportation in the future, which may potentially lead to increased exploitation of energy resources, and it may often result in a situation called energy crisis. Further, the domain of ITS is changing rapidly with the influence of intense competition and innovations. Here the major research question is how to achieve the potential objective of energy management in intelligent transportation without having a negative impact on people's standard of living and their utility to intelligent transportation services?


Sustainable energy management system offers an ideal solution for intelligent transportation systems to effectively manage energy resources for various transportation-related activities in real-time. The attainment of sustainable energy management goals across ITS is often tedious and it requires more innovative research and explorations. As a result, there is an increased requirement of developing sustainable energy management solutions both from the market as well as the environmental perspectives. Also, energy management has become an important evaluation criterion when dealing with various aspects of ITS devices.  Despite the increasing use of energy resources the total amount of carbon dioxide emission across the globe also increases gradually. In this context, this special issue aims to explore recent advances in sustainable energy management practices for ITS applications. We welcome the researchers and practitioners from energy management and intelligent transportation system to present their novel and unpublished works against this background. Topic of interest for the special issue, include, but not limited to, the following:

• Role of green technologies in sustainable energy management for intelligent transportation systems;

• Advances in sustainable real-time energy resource management for intelligent transporation systems;

• Sustainabl energy management solutions in smart grid for intelligent transportation systems;

• Big data enabled sustainable energy-management solutions for intelligent transportation systems;

• Blockchain for sustainable energy management in intelligent transportation systems;

• Sustainable energy solutions to intelligent green transportation systems;

• Role of energy storage, fuel cell technologies, and trends in intelligent transportation systems;

• Secure and advanced sustainable energy management architectures for intelligent transportation systems;

• Role of IoT and green systems in sustainable energy management systems for intelligent transportation services;

• Future mission and enabling technologies for sustainable energy management systems in smart cities;

• Advanced sustainable energy management solutions for intelligent transportation and services.


Keywords
Green technologies; Real-time energy resources; Fuel cell technologies; Energy management; Intelligent transportation.