Challenge
A municipal authority in Saudi Arabia faced rising traffic congestion and inefficiencies in urban mobility planning. Existing systems lacked real-time analytics, making it difficult to predict high-traffic zones and optimize road infrastructure.
Our Approach
E-Solutions deployed an AI-powered predictive traffic management system by:
- Installing IoT-driven traffic sensors, gathering real-time data.
- Developing AI-based predictive congestion models, improving urban planning.
- Integrating automated traffic signal adjustments, reducing bottlenecks.
- Using computer vision-based traffic monitoring, optimizing law enforcement deployment.
Outcome
- 25% reduction in traffic congestion, improving road efficiency.
- 30% faster emergency response times, enhancing public safety.
- 20% decrease in carbon emissions, promoting sustainability.
