Problem

A city in India was facing a major traffic problem due to the increasing number of vehicles on the road. The existing traffic management system was not efficient enough to handle the situation, leading to long traffic jams and delays. The authorities were looking for a solution that could help them manage traffic more effectively.

Our team was approached by the city officials to develop a system that could use AI technology to monitor and manage traffic flow in real-time.

https://github.com/Mayuresh2112/Traffic-Managment-System-Using-AI

Solution

We developed a Traffic Management System using AI that uses computer vision technology to analyze live video feeds from cameras installed at various intersections across the city. The system uses machine learning algorithms to detect and track vehicles, pedestrians, and other objects on the road.

The system then processes this data in real-time and provides insights into traffic conditions, including congestion levels, average speeds, and estimated travel times. Based on this information, the system can automatically adjust traffic signals and reroute vehicles to optimize traffic flow.

Impact

Reduced average commute time by 30%
Decreased overall congestion levels by 40%

"This Traffic Management System has had an incredible impact on our city's transportation infrastructure. It has significantly reduced commute times for our citizens while also decreasing overall congestion levels."

Team

Mayuresh - Lead Developer
- Developed the computer vision algorithms and machine learning models used in the system
- Oversaw the implementation of the platform
Sahil - Project Manager
- Liaised with city officials to ensure project requirements were met
- Managed the development team and ensured project milestones were met on time and within budget

AI Traffic Management System Reduces Congestion