Theory, Method and Application of New Energy and Intelligent Transportation
A special issue of World Electric Vehicle Journal (ISSN 2032-6653).
Deadline for manuscript submissions: 30 April 2025 | Viewed by 35769
Special Issue Editors
Interests: hybrid mobile robots; power systems of new energy vehicles; multi-energy complementarity and collaboration of distributed micro-grid
Special Issues, Collections and Topics in MDPI journals
Interests: driverless vehicles; environmental perception and understanding; computer vision and machine learning
Interests: power systems of new energy vehicles; modelling, simulation, and control of hybrid energy system; management and optimization control of fuel cell systems
Special Issues, Collections and Topics in MDPI journals
Interests: mobile robot navigation; 3D environment mapping; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: modeling, optimization, and control with applications to electrical/hybrid vehicles; energy storage, and battery manufacture and management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Currently, as the number of on-road vehicles is growing fast, the number of accidents and fatalities on the roads is expected to also increase steadily in the coming years. Furthermore, with the acceleration of urban development, the problems of traffic congestion, environmental pollution, and energy shortages are becoming more and more prominent. How to rely on technological innovations to solve traffic problems is a serious challenge and a pressing issue. Intelligent Transportation Systems (ITS) have provided unquestioned proof for improving road safety, sustainability, efficient road traffic, and vehicle management. It has become a research hotspot and is urgently requires wide application.
Intelligent transportation is a new generation of smart civil infrastructure that integrates IoT, big data, artificial intelligence, advanced sensing technologies, automated piloting, green energy, and sustainable and resilient materials working together to achieve high-quality road service and efficient operations. As a future trend, it will significantly change the form of traditional transportation infrastructures. However, due to the high complexity of ITS, the challenges are also tremendous. The basic theories, key methods, and technologies are still developing. The construction of a large-scale, usable, and complete intelligent transportation systems are still being explored. To promote such processes, the cross-disciplinary cooperation, complex system simulation and control, ultra-large-scale data communication and processing, and distributed management will be highly involved.
This Special Issue aims at providing a platform for researchers and practitioners to exchange and publish the latest research trends and results on intelligent and sustainable vehicle and transportation systems. Researchers are encouraged to explore key concepts of AI, deep learning, new energy, complex system management, and simulations that can be utilized for ITS. The main objective of this Special Issue is to collect novel discoveries and achievements, and discuss progress in current applications and future developments for technologies in transportation infrastructure systems, including:
- Advanced sensing, monitoring ,and analysis;
- Smart management and maintenance;
- Green energy for transportation infrastructures;
- Multi-purpose road services;
- Resilient infrastructures;
- New deep learning paradigms and their application to ITS;
- Computer vision over edge devices with applications to ITS;
- Complex system simulation, model, and control;
- Energy storage for transportation;
- Energy infrastructure for electrical transportation;
- Hybrid electrical powertrain systems;
- Transportation applications of Internet of Things and energy Internet;
- Power electronics for traction purposes;
- Energy management and control systems;
- Safety, durability, and reliability;
- Artificial intelligence applied to transportation.
Prof. Dr. Zonghai Chen
Prof. Dr. Zhiling Wang
Dr. Yujie Wang
Dr. Jikai Wang
Dr. Kailong Liu
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.
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Keywords
- intelligent transportation system
- artificial intelligent
- complex system
- power systems of new energy vehicles
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