Dynamic Lane Allocation for CAVs Reducing Traffic Congestion
Real-time Assignment and Operation of Dedicated Lanes for Connected Automated Vehicles
Tags: IIT Madras, India, Transportation & Automotive
IIT Madras has developed a real-time system for assigning and operating dedicated lanes for connected automated vehicles (CAVs) to optimize traffic flow and reduce congestion. The technology incorporates a lane assignment engine and traffic flow algorithms to dynamically adjust dedicated lanes based on penetration rates and traffic demand. Applications include transportation agencies and automotive companies for managing traffic in smart city environments. The innovation enhances throughput, minimizes congestion, and reduces travel time with robust and cost-effective implementation. A patent (IN 202341050812) has been filed for this system, which integrates advanced algorithms and cloud-based applications.
IP Type or Form Factor: Patent Pending; Platform; Software & Algorithm
TRL: 3 - proof of concept with needs validated
Industry or Tech Area: Automobiles Autonomous; Transport Systems
