Abstract
Traffic jam is one of the biggest challenges of twenty-first century, and hence, there is an urgent need to combat the issue of vehicular congestion. Traffic congestion can be classified by the Department of Transportation as ‘recurring’ which occurs on regular basis due to bottlenecks, narrow roads, etc. and ‘non-recurring’ which consists of temporary disruptions like accidents, bad weather, etc. With the emergence of 4G/5G technology, the Internet of Things (IoT) has grown exponentially, thus facilitating real-time transfer of data bits. The indulgence of the IoT for the vehicular movement can be used to minimize the traffic congestions. A two-way communication is established between the vehicles in its local vicinity or zone and the critical information flows between them, in real time. In this paper, a concept has been proposed that will attempt to minimize the traffic congestion by using IoT. The proposed concept will handle the safety of the vehicles, thus reducing the probability of accidents and will minimize the traffic jam especially ‘phantom jams or jamitons.’ To elucidate the proposed concept, algorithms and flowcharts for maintaining a minimum or safe distance between vehicles, overtaking and lane changing are presented in this paper.
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Khan, M., Arora, B. (2021). Traffic Jam Minimization and Accident Avoidance System Using IoT. In: Singh, P.K., Noor, A., Kolekar, M.H., Tanwar, S., Bhatnagar, R.K., Khanna, S. (eds) Evolving Technologies for Computing, Communication and Smart World. Lecture Notes in Electrical Engineering, vol 694. Springer, Singapore. https://doi.org/10.1007/978-981-15-7804-5_4
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DOI: https://doi.org/10.1007/978-981-15-7804-5_4
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