Applications of Artificial Intelligence Based Methods in Transportation Engineering
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 18526
Special Issue Editors
Interests: intelligent transportation systems; modelling and simulation of transport facilities; traffic safety; resilience of transport system; traffic operations and management; applications of emerging technologies in transportation engineering
Interests: Artificial Intelligence; cognitive systems; intelligent transportation systems; machine learning applications
School of Highway, Chang’an University, Nanerhuan Rd, Xi`an, Shaanxi, China
Interests: motorway traffic control and management; modelling and controlling mixed automated/manual vehicles; short-term traffic prediction
Special Issue Information
Dear Colleagues,
As we all know, transportation is an inevitable part of our daily life. A properly planned, designed, operated, and managed transportation system widens opportunities to satisfy the demand for the movement of people and goods in a safe, economical, convenient, and sustainable manner. With urbanization and economic growth, transportation systems are facing the challenge to cope with the imbalanced increase in travel demand. Consequently, many cities around the world are facing congestion, accidents, and environmental problems, which negatively influences their economic and social development.
Emerging technologies such as connected and autonomous vehicles, electric vehicles, and information and communication technologies offer promising solutions to the existing transportation problems. Artificial Intelligence (AI) and Machine Learning are beginning to play an important role in the development of these technologies.
This Special Issue seeks to provide researchers and professionals with high-quality research and review articles describing the latest advances in the design and application of AI or machine learning techniques in transportation engineering. These articles will not only describe current state-of-the-art research but also highlight the emerging trends and the open problems in this field.
Prospective authors are invited to submit original research and review articles related to the design and use of AI or machine learning techniques to improve sustainability of transportation systems, including the planning, design, operation and management of transportation facilities. The potential topics of interest include but are not limited to the following:
- Big-data analytics in transportation
- Connected and autonomous vehicles
- Electric vehicles
- Environmental assessment
- Human and machine interface
- Intelligent transportation systems
- Modelling and simulation of transport facilities
- Smart cities
- Traffic studies and data processing
- Traffic operations and management
Dr. Prakash Ranjitkar
Dr. Mohan Sridharan
Dr. Duo Li
Guest Editors
Manuscript Submission Information
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Keywords
- Big-data analytics in transportation
- Connected and autonomous vehicles
- Electric vehicles
- Environmental assessment
- Human and machine interface
- Intelligent transportation systems
- Modelling and simulation of transport facilities
- Smart cities
- Traffic studies and data processing
- Traffic operations and management
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