Artificial Intelligence and Fuzzy Logic for Next-Generation Intelligent Transportation Systems
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Artificial Intelligence and Fuzzy Logic for Next-Generation Intelligent Transportation Systems
Cherrafi, Anass; Ouaissa, Mariyam; Kar, Rahul; Ouaissa, Mariya; Ben Aoun, Najib
Taylor & Francis Ltd
03/2026
344
Dura
Inglês
9781041093299
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Intelligent transportation systems: Architectures, applications, and future directions. 2. Artificial intelligence and fuzzy logic for next-generation intelligent transportation systems. 3. AI algorithms in transportation: An overview. 4. Transforming traditional traffic systems: Applications of artificial intelligence, fuzzy logic, and IoT in next-generation transportation. 5. AI-enhanced traffic management: AI-driven traffic intelligence and cloud-based VCC (Vehicular Cloud Computing) for smarter mobility. 6. Enhancing public transportation efficiency: Integrating fuzzy logic and AI. 7. Traffic flow prediction and optimization. 8. An XGBoost-based method for predicting urban transport modes in the rabat area. 9. AI and fuzzy logic in traffic accident prediction and prevention. 10. Enhancing road safety through artificial intelligence and fuzzy logic-based intelligent systems. 11. The transformative impact of autonomous vehicles in urban transport: Robotaxis. 12. Autonomous vehicles and intelligent transportation. 13. Intelligent time-delay compensation in lateral control of autonomous vehicles using smith predictor and LMI techniques. 14. Advanced intelligent control strategies for enhanced lateral dynamics of autonomous vehicles. 15. Adaptive sliding mode control approach for lateral dynamics control of an autonomous vehicle. 16. Securing transportation systems: Integrating zero trust architecture and artificial intelligence through resource-based view and institutional theory. 17. Decarbonization pathways in transportation systems: A machine learning approach for developing countries. 18. Towards industry 5.0: Data-driven sustainable transportation for carbon footprint reduction.
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vehicular cloud computing;urban mobility optimization;lateral dynamics control;predictive accident prevention;zero trust security transportation;decarbonization in mobility;adaptive sliding mode vehicle control
1. Intelligent transportation systems: Architectures, applications, and future directions. 2. Artificial intelligence and fuzzy logic for next-generation intelligent transportation systems. 3. AI algorithms in transportation: An overview. 4. Transforming traditional traffic systems: Applications of artificial intelligence, fuzzy logic, and IoT in next-generation transportation. 5. AI-enhanced traffic management: AI-driven traffic intelligence and cloud-based VCC (Vehicular Cloud Computing) for smarter mobility. 6. Enhancing public transportation efficiency: Integrating fuzzy logic and AI. 7. Traffic flow prediction and optimization. 8. An XGBoost-based method for predicting urban transport modes in the rabat area. 9. AI and fuzzy logic in traffic accident prediction and prevention. 10. Enhancing road safety through artificial intelligence and fuzzy logic-based intelligent systems. 11. The transformative impact of autonomous vehicles in urban transport: Robotaxis. 12. Autonomous vehicles and intelligent transportation. 13. Intelligent time-delay compensation in lateral control of autonomous vehicles using smith predictor and LMI techniques. 14. Advanced intelligent control strategies for enhanced lateral dynamics of autonomous vehicles. 15. Adaptive sliding mode control approach for lateral dynamics control of an autonomous vehicle. 16. Securing transportation systems: Integrating zero trust architecture and artificial intelligence through resource-based view and institutional theory. 17. Decarbonization pathways in transportation systems: A machine learning approach for developing countries. 18. Towards industry 5.0: Data-driven sustainable transportation for carbon footprint reduction.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
