Intelligent Traffic Light(ITL)

Intelligent Traffic Light (ITL)

ITL is a traffic responsive system which uses real-time data on vehicular traffic to optimize traffic signal settings and reduce vehicle delays, queue length of vehicles at the junctions/ intersections in order to enhance capacity and efficiency of the road network.

Benefits of ITL

Reduce vehicular delays and related greenhouse gas emissions
Improve operational planning, efficiency and capacity of road network.
Improve Incident Management System by creating green corridors through pre-emption and priority for emergency and special vehicles

Architecture of ITL

rpa

Minimum Functional Requirements

The system would be used to monitor and control traffic signals, including signalized pedestrian crossings, using a traffic responsive strategy based on real time traffic flows obtained using vehicle presence sensors.
The system should have a provision of a manual override in case of use by the Traffic Police personnel in case of special VIP movement and system failures
Any existing infrastructure at the junctions that might help in traffic control, where possible, should be integrated with ITL.
Adaptive traffic signal controller managed through the central traffic control centre at an individual junction or as part of group of traffic junctions along a corridor or a region for controlling the traffic signals deployed
MSI has to implement all the field infrastructure to support all Traffic and Pelican signals for long term sustainability and for all required instruments to support ITL, not mentioned in RFP is in the scope of MSI’s implementation
Camera based vehicle detectors to assist operation of traffic signal controller and generate counts, demands and extensions for right-of-way for identifying optimal signal timings.
The central computer running the ITL application shall send optimum signal timings to all intersections in the corridor leveraging the communication network.
ITL should be able to sense the volume of the Traffic automatically at each of the junction movement nodes through the means of camera algorithms and AI analytics