Abstract
The smart traffic light and dynamic navigational system analyses the movement of emergency vehicles using the minimum distance triggering algorithm. Traffic congestion in today’s world is a major issue leading to a lot of disarray and loss in terms of both economy and also the quality of life. These problems related to congestion get multiplied when we think about emergency vehicles such as ambulances. Today ambulances cut down the travel time, by moving past intersections in a haphazard manner (i.e. driving past a T junction without taking the risk factors into account) which further increases the probability that the ambulance could with an accident. In the current system, the traffic signals are based on a fixed green light sequence (i.e. the lights do not turn green unless their set timer limit is reached for that signal.), this system does not take emergency vehicles into consideration, hence reduces the efficiency of the entire system. Our project modifies this system (i.e. static) and making it real time and efficient (i.e. dynamic). Firstly, a simulation of the primary hardware is done on Proteus DS, this will be the retrofit table system to the current static time-based traffic system. Secondly, an app is built using Android Studios for the control of the traffic light. Thirdly, a web application will be developed using the preferred cloud platform (AWS, Google Cloud and Microsoft Azure).
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Raghu, N., Phadke, A., Kumar, R., Joshi, K. (2023). Smart Traffic Light and Dynamic Navigational System for Emergency Vehicles. In: Ranganathan, G., Fernando, X., Piramuthu, S. (eds) Soft Computing for Security Applications. Advances in Intelligent Systems and Computing, vol 1428. Springer, Singapore. https://doi.org/10.1007/978-981-19-3590-9_30
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DOI: https://doi.org/10.1007/978-981-19-3590-9_30
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