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Title	Traffic Signal Control To Optimize Run Time For Energy Saving: A Smart City Paradigm
ID_Doc	58669
Authors	Mahto T.; Malik H.
Year	2021
Published	Studies in Computational Intelligence, 916
DOI	http://dx.doi.org/10.1007/978-981-15-7571-6_21
Abstract	The traffic light controlling strategy has noteworthy impressions on the traffic congestion, risks of accidents, waiting time and unnecessary consumption of fuel. But, regardless of over 50 years of researches on theory of traffic flow, the most of traffic light controlling systems are not reconfigured on a routine basis. Also, the efficiency of traffic light controlling strategy is subject to greatly on information and understanding of the circulation team. So, recently, the growing congestion in road traffic has drown portion of thoughtfulness of the researchers pool targeting to propose innovative solutions to diminish the economical losses in form of fuel cost and trip time. In this chapter, first the default traffic light controlling strategy was simulated the tripe time of each vehicle has been recorded. And, also, provide comprehensive study of the results attained with a reconfigured traffic light controlling strategy on the open source traffic simulator SUMO (Simulation of Urban Mobility) by revamping its predefined static routes during the runtime of simulation. The projected reconfigured traffic light controlling strategy has been implemented and the obtained results on the basic SUMO have established high efficiency in defining reduction in commutation or tripe time. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords	Edges; Junction; SUMO; Traffic light system; Trip time road network

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