AI-Enabled Mobility and Autonomous Driving Technology for Smart Transportation
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: closed (15 March 2022) | Viewed by 1142
Special Issue Editor
Interests: big data; computer vision; pattern recognition; biometrics; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
AI-enabled mobility and autonomous driving technology have improved significantly in recent decades and have paved the way for the future of transportation. Their driverless capability enables rising mobility systems that were not possible before. The older and disabled community who cannot legitimately drive can access affordable smart transportation and engage in social activities. The private sector can also offer new mobility services that utilize autonomous vehicles. These transformations in the supply and demand of transportation can reduce traffic congestion and emission levels in most cities globally. Policies introduced to improve transportation sustainability need to carefully consider the impacts of driving automation, especially when automation leads to an influx of demand. In this Special Issue, we invite the submission of research papers that specifically deal with transportation sustainability in the advent of autonomous vehicles and offer sustainable choices for the current demand administration and traffic control policies. The scope of this Special Issue is to report state-of-the-art contributions on big data and artificial intelligence for smart transportation, model development, policy design, and system optimization. Topics of interest with a general focus on smart transportation include but are not restricted to:
- Emerging AI-enabled mobility services with autonomous vehicles;
- Impacts of autonomous vehicles on social interactions;
- Route choice of autonomous vehicles (car, ship, UAV, UAM);
- Land/sea/air planning in the autonomous vehicle era;
- Public and private smart transportation integration with autonomous vehicles;
- Autonomous ridesharing and demand-responsive systems;
- Smart-parking-related technologies for autonomous vehicles.
Prof. Dr. Hyeonjoon Moon
Guest Editor
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