چکیده مقاله
Urban transportation optimization is a critical challenge in modern cities, where increasing congestion, dynamic traffic conditions, and infrastructure limitations demand intelligent solutions Graph based models have emerged as a powerful tool for analyzing and optimizing urban road networks by representing traffic systems as nodes intersections and edges road segments with weighted attributes such as travel time, traffic flow, and road conditions This paper provides a comprehensive review of recent advancements in graph based models for urban transportation optimization, covering traditional algorithms e g , Dijkstra’s, A , hybrid approaches integrating machine learning e g , Q learning, GNNs , and real world applications in smart city initiatives Key contributions of this review include: 1 an analysis of graph based shortest path algorithms and their adaptations for dynamic traffic conditions, including delay modeling at signalized intersections; 2 a discussion of AI enhanced methods, such as reinforcement learning and Graph Neural Networks GNNs , which improve adaptability to real time traffic fluctuations; and 3 case studies demonstrating the effectiveness of these models in cities like Sarajevo and Bengaluru, where optimized routing reduces congestion and improves travel efficiency Additionally, we highlight emerging trends, such as spatio temporal graph models for traffic forecasting and physics guided neural networks for intersection management The review underscores the potential of graph based models to enhance urban mobility, offering insights for policymakers, transportation engineers, and AI researchers Future directions include scalable implementations for large metropolitan networks, integration with IoT and real time data streams, and the development of interpretable hybrid models for robust traffic management
کلیدواژهها
نویسندگان
رضا مردآزاد بهی
کارشناس ارشد طراحی شهری، دانشگاه آزاد اسلامی تبریز
Mahdi Manouchehri
MSc Student in Computer Engineering Department of Computer Engineering Sharif University of Technology Tehran, Iran
شیوه ارجاع
Manouchehri, Mahdi,1403,A Review of Graph-Based Models in Urban Transportation Optimization: From Theory to Smart Applications,the 11th International Conference on Strategic Ideas in Architecture, Civil Engineering and Urban Planning in Iran,Mashhad
ارائهشده در
مجموعه مقالات یازدهمین کنفرانس بین المللی ایده های راهبردی در معماری، عمران و شهرسازی ایران12 اسفند 1403 · مشهد