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Title	Multi-Objective And Seagull Optimization Enabled Traffic Signal Controlling For Traffic Management In Cities
ID_Doc	38293
Authors	Reddy S.M.; Sai Satyanarayana Reddy S.; Sanjana S.
Year	2023
Published	Smart Innovation, Systems and Technologies, 311
DOI	http://dx.doi.org/10.1007/978-981-19-3571-8_70
Abstract	Traffic signal control is significant to solve the real world issues such as the fuel wastage, time wastage, environmental pollution, accidents due to traffic congestion and several other factors. Hence, this research introduces a novel traffic management system based on the multi-objective function. Initially, the smart city map is taken from the real satellite image and is then segmented to gather more detailed information. Then, using the network simulation through MATLAB, the information regarding the traffic is gathered and then the paths are identified for efficient routing to avoid the traffic congestion. From, the identified path, the traffic signal control is employed optimally based on the solution encoding, multi-objective function and the seagull optimization algorithm (SOA). Finally, the performance of the proposed method is evaluated based on the performance metrics, like travel time, distance and average traffic density. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords	Optimization; Path; Routing; Traffic signal control; Vehicle

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