Abstract
The main aim of this traffic route finder system is to reduce the number of re-computations for finding optimized route and alternate routes. This is to obtain less memory consumption and less wastage of resources that result in minimal response times. On the development of intelligent transport system (ITS), this increasing intensive on-demand of routing guidance system in the real time coincides with increasing growth of roads in the real world. This paper is about the values of the real-time traffic data obtained for arriving at an optimal vehicle routing solution within dynamic transportation networks. Our proposal is to implement an optimal vehicle routing algorithm in order to incorporate the dynamically changing traffic flows. Thus, we present a dynamic approach in selecting the paths for the implementation of our proposed algorithm for the effective road traffic transportations routing system by providing dynamically changing traffic flow of information and the historical data using GIS.
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Monica Bhavani, M., Valarmathi, A. (2020). Optimal Traffic Route Finder System. In: Gupta, V., Varde, P., Kankar, P., Joshi, N. (eds) Reliability and Risk Assessment in Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-3746-2_4
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DOI: https://doi.org/10.1007/978-981-15-3746-2_4
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