About this Research Topic
The tremendous growth in travel demand has resulted in several major issues in the transportation sector. The safe management of urban traffic has become a challenging task for transportation planners and administrators. Traditional transportation infrastructures are pushed to the limit due to which urban development often reaches the bottleneck. The major road networks in various countries often fail to offer the desired level of transport mobility, road safety, service quality, comfort and convenience. Rigorous analysis and thorough modelling of traffic data for better transportation planning and policy-making have become very important in the present world. In this background, the application of Artificial Intelligence in transportation planning and traffic management for smart mobility solutions would significantly help the policymakers to ensure safe and sustainable transportation.
With the current availability of computational power and significant progress in the theoretical aspects, artificial intelligence (AI) technologies seem to be efficient to deal with various challenges in the transportation sector. AI plays a key role in the present transportation sector by making travel modes safer, cleaner, smarter and more efficient with the help of the latest computer-assisted technological interventions. From helping cars, trains, ships and aeroplanes to function autonomously, to making the traffic flows smoother, AI is proving its efficiency in the various field of mobility. AI-led connected and autonomous transportation systems are presently playing a major role towards reducing human errors that are involved in traffic incidents. There are several other research areas such as infrastructure performance analysis, travel behavior studies, logistic service planning, event and object detection from surveillance, etc., where AI-based solutions have shown better performance compared to conventional solutions. In this respect, this particular Research Topic aims to bring out state-of-the-art research topics in the field of AI and transportation systems.
This Research Topic focuses on reporting new and innovative applications of AI techniques for better transportation planning and traffic management. Submissions, both original research and review articles, which provide reliable, robust, and verified approaches, are especially welcome. Potential topics include but are not limited to the following:
• Application of AI in transportation planning
• AI-based traffic analysis and control
• AI-based public and private transport management solutions
• Pedestrian management using AI
• Safe and smart AI-based non-motorized traffic management solutions
• Formulation of AI-based decision support systems for intelligent transportation systems
• Use of AI in the field of transportation systems modeling (including user behavior, travel demand, and infrastructure performance, etc.)
• Use of AI to solve smart city logistics challenges
With the current availability of computational power and significant progress in the theoretical aspects, artificial intelligence (AI) technologies seem to be efficient to deal with various challenges in the transportation sector. AI plays a key role in the present transportation sector by making travel modes safer, cleaner, smarter and more efficient with the help of the latest computer-assisted technological interventions. From helping cars, trains, ships and aeroplanes to function autonomously, to making the traffic flows smoother, AI is proving its efficiency in the various field of mobility. AI-led connected and autonomous transportation systems are presently playing a major role towards reducing human errors that are involved in traffic incidents. There are several other research areas such as infrastructure performance analysis, travel behavior studies, logistic service planning, event and object detection from surveillance, etc., where AI-based solutions have shown better performance compared to conventional solutions. In this respect, this particular Research Topic aims to bring out state-of-the-art research topics in the field of AI and transportation systems.
This Research Topic focuses on reporting new and innovative applications of AI techniques for better transportation planning and traffic management. Submissions, both original research and review articles, which provide reliable, robust, and verified approaches, are especially welcome. Potential topics include but are not limited to the following:
• Application of AI in transportation planning
• AI-based traffic analysis and control
• AI-based public and private transport management solutions
• Pedestrian management using AI
• Safe and smart AI-based non-motorized traffic management solutions
• Formulation of AI-based decision support systems for intelligent transportation systems
• Use of AI in the field of transportation systems modeling (including user behavior, travel demand, and infrastructure performance, etc.)
• Use of AI to solve smart city logistics challenges
Keywords: Artificial Intelligence, Transportation Planning, Transport Policy, Smart Mobility, Traffic Management, Smart City Logistics, Traffic Analysis, Urban Traffic
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
