Ahmedabad Launches Google Maps-Based Smart Traffic Management Pilot Project

Ahmedabad: The city is moving closer to becoming one of India’s leading hubs for smart traffic management, as the Amdavad Municipal Corporation (AMC) has taken a significant step by launching a pilot project using Google Maps’ advanced traffic intelligence platform, Road Management Insights (RMI). With this initiative, Ahmedabad has become one of the first cities in India to adopt live traffic data and artificial intelligence-based technology for traffic management and future road infrastructure planning.

Under the project, real-time traffic information will be made available for selected high-density roads across the city. The system will provide live updates on vehicle volume per hour, vehicle speed, travel time, sudden braking points, and incidents such as accidents, waterlogging, potholes, and road obstructions. The insights will be generated using anonymized traffic data collected from millions of Google Maps users.

A key feature of the initiative is that no additional cameras, sensors, or hardware installations will be required. Instead, Google Maps data will be integrated with the TraffiCure platform and delivered to city authorities through dashboards, live alerts, and planning tools.

The pilot project will cover some of Ahmedabad’s busiest traffic corridors, including SG Highway, Tapovan Circle to RTO Circle, Sardar Patel Ring Road, Parimal Underpass to Golden Triangle, Golden Triangle to Shastri Nagar, Damru Circle to Gujarat High Court, Pakwan Char Rasta on 132 Feet Ring Road to Keshav Bagh, Dadhichi Bridge to Delhi Darwaza, Kalupur-Amdupura to Naroda, Airport to Indira Bridge Circle, Geeta Mandir ST Bus Stand to Isanpur, Isanpur to Dhodasar Canal Road, and the Narol-Naroda Highway BRTS route.

According to AMC, the system will help identify traffic congestion hotspots and determine the root causes behind recurring traffic jams. Authorities will be able to assess whether congestion is being caused by signal timing issues, waterlogging, excessive traffic pressure, accident-prone zones, or other factors. This is expected to improve both traffic management and long-term problem resolution.

The initiative is also expected to significantly strengthen traffic police operations. Through live alerts generated on the TraffiCure dashboard, police personnel can be deployed immediately to affected locations, enabling faster response times and more efficient traffic management.

Additionally, AI- and machine learning-based simulation technology will be introduced for future road development and traffic planning. Through digital simulations, authorities will be able to assess the impact of proposed flyovers, road closures, or signal modifications before implementation, leading to more scientific planning and potential cost savings.

Road safety is another major focus of the project. Data related to sudden braking points and accident trends will help identify dangerous intersections and accident-prone areas, allowing authorities to implement improved signage, road markings, signal systems, and design modifications.

Upon completion of the pilot phase, officials expect to generate an accurate list of major traffic and accident hotspots. The city will also gain a real-time decision-making system enabling traffic authorities to respond within minutes and reduce travel delays on selected routes.

If successful, the model could be expanded across Ahmedabad and may serve as a benchmark for other Indian cities seeking to adopt data-driven traffic solutions.

Through this initiative, Ahmedabad is shifting from traditional complaint-based traffic management toward a smarter, data-driven approach. The adoption of Google Maps’ Road Management Insights and the TraffiCure platform is expected to mark a significant step in positioning Ahmedabad as a leading smart mobility city in India. DeshGujarat

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