• CS Vihasi Shah
• Nikhil Harikumar

Artificial Intelligence (AI) is aiding in improving urban mobility in India through better efficiency, improved congestion management, and enhanced enforcement. Intelligent Traffic Signals, Real-Time Traffic Congestion Monitoring, Automated E-Challan Systems, Predictive Analytics, and several other AI-powered solutions are being implemented in major cities like Bengaluru, Delhi, and Mumbai. However, these developments pose serious legal and policy challenges. As a result, this research paper analyzes the current legal control over AI implementation in traffic management, such as the Motor Vehicles Act, 1988, Information Technology Act, 2000, and the data protection regulations. It addresses issues of data privacy, surveillance, liability, algorithmic bias, and transparency in the decision-making process of AI. The research paper calls for more robust regulations specific to AI, improved accountability mechanisms, and rolling policy suggestions for ethical AI directly into traffic management practices. Overcoming these challenges can enable India to create a strong legal framework that can accelerate transparent, accountable, and efficient AI-enabled traffic management and aid India on its path towards smart and sustainable urban mobility.

AI in traffic management, legal framework, data privacy, algorithmic bias, smart mobility

"AI AND TRAFFIC MANAGEMENT IN INDIA: LEGAL AND POLICY IMPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 12, page no.19-25, December-2025, Available :http://www.jetir.org/papers/JETIRHE06004.pdf

"AI AND TRAFFIC MANAGEMENT IN INDIA: LEGAL AND POLICY IMPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 12, page no. pp19-25, December-2025, Available at : http://www.jetir.org/papers/JETIRHE06004.pdf