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A Dynamic Model and Algorithm for Real-Time Traffic Management

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Smart Intelligent Computing and Applications, Volume 1

Abstract

The work portrays a summary of traffic congestion which has been a persistent problem in many cities in India. The major problems that lead to traffic congestion in India are primarily associated with one or combination of the factors such as signal failures, inadequate law enforcement and relatively poor traffic management practices. The traffic congestion shall be treated as a grave issue as it significantly reduces the freight vehicles speed, increases wait time at the checkpoints and toll plazas, uncountable loss of productive man-hours spending unnecessary journey time, physical and mental fatigue of humans. In addition, the cars that are waiting in traffic jams contribute to 40% increased pollution than those which are normally moving on the roads by way of increased fuel wastage and therefore causing excessive carbon dioxide emissions which would result in frequent repairs and replacements. To avoid such unwarranted and multi-dimensional losses to mankind, we developed a technological solution and our experiments on real-time data show that proposed approach is able to reduce the waiting time and travelling time for the users.

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Teja, M.N.V.M.S., Sree, N.L., Harshitha, L., Bhargav, P.V., Bhaskar, N., Reddy, V.D. (2022). A Dynamic Model and Algorithm for Real-Time Traffic Management. In: Bhateja, V., Satapathy, S.C., Travieso-Gonzalez, C.M., Adilakshmi, T. (eds) Smart Intelligent Computing and Applications, Volume 1. Smart Innovation, Systems and Technologies, vol 282. Springer, Singapore. https://doi.org/10.1007/978-981-16-9669-5_55

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