STRATEGIES FOR SMOOTH TRAFFIC MANAGEMENT

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Volume: 11 | Issue: 02 | Year 2025 | Subscription
International Journal of Transportation Engineering and Traffic System
Received Date: 09/02/2025
Acceptance Date: 09/13/2025
Published On: 2025-09-15
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By: Maithili Lokhande and Sharada Patil

Abstract

Abstract – Pune, one of India’s fastest-growing metropolitan cities, faces severe traffic congestion due to rapid urbanization, increasing vehicular density, and inadequate transport infrastructure. This research paper explores the challenges associated with traffic management in Pune and evaluates existing solutions implemented by local authorities. Through case studies of critical traffic zones such as Katraj, Nal Stop, Warje, and Hadapsar Road, we identify key congestion factors, including poor road design, improper parking, and ineffective signal coordination. Several traffic management strategies have been adopted to mitigate these issues, such as road widening, signal optimization, and strict enforcement against encroachments. However, despite these measures, congestion persists due to inconsistent implementation and a lack of integrated solutions. This paper proposes the deployment of Intelligent Traffic Management Systems (ITMS) to enhance real-time traffic monitoring and regulation. ITMS leverages Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Analytics to optimize traffic flow, detect violations, and predict congestion trends. A case study of the Mumbai-Pune Expressway’s Zero Fatality Corridor demonstrates how AI-driven interventions led to a 52% reduction in accident fatalities over four years .The study highlights that a multi-pronged approach, integrating ITMS with improved infrastructure planning and public transportation enhancements, is essential for sustainable urban mobility. Results suggest that Pune can significantly reduce traffic congestion and road accidents by adopting technology-driven traffic management solutions. The paper concludes by emphasizing the need for continued research into autonomous traffic control systems, dynamic traffic light coordination, and policy reforms to ensure long-term efficiency.

Keywords: Traffic Management, Pune, Urban Congestion, Intelligent Traffic Systems, AI in Transportation.

 

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Citation:

How to cite this article: Maithili Lokhande and Sharada Patil, STRATEGIES FOR SMOOTH TRAFFIC MANAGEMENT. International Journal of Transportation Engineering and Traffic System. 2025; 11(02): -p.

How to cite this URL: Maithili Lokhande and Sharada Patil, STRATEGIES FOR SMOOTH TRAFFIC MANAGEMENT. International Journal of Transportation Engineering and Traffic System. 2025; 11(02): -p. Available from:https://journalspub.com/publication/ijtets/article=22332

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