Urban Development Policy Making

Urban Development Policy Making

A Global Review of Artificial Intelligence Applications in Metropolitan Transportation

Document Type : Original Article

Author
Alireza Noory
Research fellow, University of Northern British Columbia (UNBC), British Columbia, Canada
10.22034/judpm.2025.511600.1017
Abstract
This research paper examines global experiences in applying Artificial Intelligence (AI) to metropolitan transportation systems. It analyzes various AI applications, their impacts on efficiency, sustainability, and safety, and the challenges encountered in their implementation. Given serious challenges such as traffic congestion and pollution in metropolises like Tehran, the use of AI can help improve traffic management and reduce accidents. The paper explores different methods, including data collection and analysis, optimization of traffic lights, and accident prediction. It also addresses challenges such as the need for strong infrastructure, privacy concerns, and cybersecurity issues. Finally, it offers suggestions for future research, including the development of models, integration with emerging technologies, and the design of effective policies to manage social and ethical challenges.
Keywords
Artificial intelligence
Urban
Transportation
Safety
Traffic strategies

Subjects

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Urban Development Policy Making
Volume 2, Issue 2
Summer 2025
Pages 125-139

  • Receive Date 13 February 2025
  • Revise Date 19 March 2025
  • Accept Date 11 April 2025
  • Publish Date 10 May 2025