Abstract
Nowadays, due to the advancement in engineering and technology, the number of vehicles has been increased drastically. So, there is a need for proper management of traffic in order to maintain the smooth functioning of the cities and nation as a whole. Though various techniques are evolved for traffic object detection, it has been used for managing the traffic. The project focuses on developing an efficient algorithm for controlling the traffic signal lights. It uses a hierarchical decision-making model, providing local decisions based on statistics, and global decisions based on pattern learnt at a higher level. Situations like emergency arrival and accidents would be handled by the global nodes’ network. The decision taken would be communicated to the self-automated cars for their future decision.
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Gandhi, S.A., Desai, V.P., Abhyankar, A.S., Attar, V. (2020). Traffic Congestion Control Using Hierarchical Decision Model. In: Smys, S., Senjyu, T., Lafata, P. (eds) Second International Conference on Computer Networks and Communication Technologies. ICCNCT 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 44. Springer, Cham. https://doi.org/10.1007/978-3-030-37051-0_11
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DOI: https://doi.org/10.1007/978-3-030-37051-0_11
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