Autonomous Driving, Robotic Computing and Sustainable Transportation
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".
Deadline for manuscript submissions: 16 August 2024 | Viewed by 352
Special Issue Editors
2. School of Economics and Management, Chang’an University, Xi’an 710064, China
Interests: big data decision-making; smart transportation management; hazardous materials; transportation management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Autonomous driving, as an epitome of advancements in fields such as machine learning, artificial intelligence, and sensor technology, holds the promise to revolutionize transportation by enhancing road safety, alleviating traffic bottlenecks, and democratizing mobility. Robotic computing, a confluence of robotics and computer science, employs artificial intelligence (AI) algorithms to process sensor data, make intelligent decisions, and execute robotic actions. This interdisciplinary field exploits technologies such as cloud computing, the Internet of Things (IoT), and machine learning to bring about increased efficiency and accuracy across various sectors. Sustainable transportation aims at devising transit systems that have minimal environmental, social, and economic drawbacks, incorporating advancements such as electric vehicles, cycling lanes, public transit upgrades, and smart urban planning. The synergistic integration of these cutting-edge domains has the capability to yield transformative solutions and lead to a transportation ecosystem that is not only sustainable but also extraordinarily responsive to real-life variables. In light of these considerations, this Special Issue extends an invitation to researchers engaged in the study of any or multiple aspects of the aforementioned areas, either individually or in combination.
For this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Smart city planning and policy;
- Real-time traffic management;
- Adaptive charging infrastructure;
- Resource allocation and sustainability;
- Multi-modal transportation management;
- Human–AI interaction in autonomous vehicles;
- Carbon footprint analysis in sustainable transit.
We look forward to receiving your contributions.
Prof. Dr. Xiang Li
Dr. Bowen Zhang
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. Sustainability is an international peer-reviewed open access semimonthly 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 2400 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.
Keywords
- autonomous vehicles
- robotic computing
- sustainable transportation
- smart city
- multi-model transportation
- real-time transportation management
- human–AI interaction
