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Dynamic Scheduling of Traffic Signal (DSTS) Management in Urban Area Network

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Computer Information Systems and Industrial Management (CISIM 2019)

Abstract

Nowadays vehicular ad hoc network (VANET) is a promising area of research. One of the aspects of this area is traffic congestion control. Due to the limited capacity of road networks, road traffic congestions are becoming a vital problem in most of the metropolitan cities or large cities throughout the world. That creates the chances of casualties and other types of losses related to time, fuel, finance etc. Congestion also causes a considerable amount of pollution. In this paper, we concentrate on traffic light scheduling in the intersection or junction point of road network for congestion control. We propose an approach to optimize the timing of traffic light dynamically by using scheduling algorithm to reduce the congestion in various junction points in urban area network. The proposed mechanism is used for connected intersection system where every objects and traffic lights will be connected with each other and can share information. We use V2I connectivity system via road side unit (RSU) for our methodology. The Traffic Management controller (TMC) is able to collect the traffic related information of an intersection from RSU. Several researchers worked on this problem. But the performance of the proposed method is simulated and the results show that the proposed method performing better in terms of queue length and the waiting time of vehicle in intersection area with respect to other methodologies.

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Correspondence to Abantika Choudhury .

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Choudhury, A., Bhattacharya, U., Chaki, R. (2019). Dynamic Scheduling of Traffic Signal (DSTS) Management in Urban Area Network. In: Saeed, K., Chaki, R., Janev, V. (eds) Computer Information Systems and Industrial Management. CISIM 2019. Lecture Notes in Computer Science(), vol 11703. Springer, Cham. https://doi.org/10.1007/978-3-030-28957-7_12

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  • DOI: https://doi.org/10.1007/978-3-030-28957-7_12

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  • Online ISBN: 978-3-030-28957-7

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