A Framework for Intelligent Traffic Management System for Roads under Adverse Weather Conditions using Smart Sensors
K. V. Vishnu Vardhan, K. L Sailaja, Andreas Chandra, J. Raja Harinadh Kumar, P. Ramesh Kumar, T. Anirudh Sai Ram · 2022
Traffic jams in monsoons are one of the continually facing problems due to unnecessary flooding. For many it is important and for few, it is an emergency to retract the destinations they arrive at (Ex: ambulance stuck in streets when it's raining heavily). In addition to providing references for other systems in the traffic management framework, CORSIM is used to develop alternative route choice schemes. To offer a demonstration for long-span expressway bridges, ERC techniques and mainline control strategies were created under scenarios of varying volume and rainy warning grades (BLUE to RED) were drawn to present a demonstration for long-span expressway bridges. But this system is not applied effectively in a high-density populated city like India, where heavy rain or sewage pipeline leakage causes floods which in turn leads to unnecessary blocking of traffic. In the proposed system, a water level sensor is used to estimate a certain depth in the water to be measured and an NRF24101+ wireless module is used in the system to collect information about that particular place and in which case, if any condition is met for causing congestion of vehicles and transport, it sends the signals to local management body for clearing the flooding streets and in turn, increase the flow of traffic. A unit can transmit and receive data simultaneously and consumes considerably less power than LEDs during transmission, it can operate at baud rates from 250Kbps up to 2 Mbps, and when used outside with an antenna, it has a range of 100 metres, can send and receive data concurrently, and can communicate with up to 6 additional modules.