Tag Archives: Adaptive Traffic Control Systems

Researchers at the National Institute of Technology Rourkela (NIT-R) have developed an AI-based Multi-Class Vehicle Detection (MCVD) model and a Light Fusion Bi-Directional Feature Pyramid Network (LFBFPN) to enhance AI traffic management. Led by Dr. Santos Kumar Das from the Electronics & Communication Engineering department, the team designed an intelligent vehicle detection (IVD) system that accurately identifies vehicles in real-time, ...

The intelligent transportation system is about improving mobility, safety and revenue collection on city road network and highways with the help of information technology, computers, telecommunication and electronics (ICTE). All Smart Cities invariably use Intelligent Traffic Management Systems (ITMS) for improving mobility, enforcing traffic rules, identifying incidents, disseminating information, enhancing pedestrian safety, prioritizing emergency service vehicles at signalized intersections, better ...

The current traffic control systems in the metro cities of India are facing problems due to randomness in the traffic density pattern throughout the day. The traffic signal timers have a fixed time period to switch traffic between different directions. Due to this, the vehicles have to often wait for a long-time span even if the traffic density is very ...