Applications of Artificial Intelligence in Transportation Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 30 December 2024 | Viewed by 7010
Special Issue Editor
Interests: artificial intelligence; optimization; vehicle routing problems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has emerged as a transformative force in the field of transportation engineering, revolutionizing the way we conceptualize, plan, and execute mobility solutions. This Special Issue, entitled "Applications of Artificial Intelligence in Transportation Engineering", seeks to explore the multifaceted impact of AI on the design, operation, and sustainability of transportation systems. From intelligent traffic management and predictive maintenance to autonomous vehicles and route optimization, this collection aims to showcase cutting-edge research that elucidates the integration of AI in addressing the challenges and shaping the future of transportation.
Topics of interest for this Special Issue include, but are not limited to, the following:
- AI-Enabled Traffic Control Systems: Exploration of intelligent traffic control systems leveraging AI algorithms to enhance vehicular efficiency and flow.
- Predictive Analytics for Transportation Infrastructure: Application of AI-driven predictive analytics to anticipate and address issues in transportation infrastructure, optimizing management and maintenance.
- Autonomous Vehicles and Intelligent Navigation: Research on the integration of autonomous vehicles and intelligent navigation through AI algorithms.
- Advanced Algorithms for Route Optimization: Utilization of advanced AI algorithms for efficient route optimization, reducing travel times and resource consumption.
- Machine Learning in Traffic Pattern Analysis: Application of machine learning techniques to analyze traffic patterns and improve route planning.
- Sustainable Transportation Solutions: Exploration of sustainable transportation solutions through intelligent technologies and AI-backed practices.
- Integration of Robotics in Mobility: Investigation into how robotics integrates into transportation systems, enhancing automation and efficiency.
- AI-Based Emergency Response Systems: Development of AI-based emergency response systems for critical situations in transportation.
- Human–Machine Collaboration in Transportation Networks: Study of collaboration between humans and machines in transportation networks, addressing interoperability challenges.
- Ethical and Regulatory Considerations in AI-Driven Transportation: Examination of ethical considerations and regulations in the use of AI to drive innovations in transportation.
Dr. Roberto Carballedo
Guest Editor
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Keywords
- AI-enabled traffic control systems
- AI-driven transportation
- intelligent transportation systems
- traffic prediction
- autonomous vehicles and intelligent navigation
- route optimization
- traffic pattern analysis
- sustainable transportation
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