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Title	Traffic Light Algorithms In Smart Cities: Simulation And Analysis
ID_Doc	58612
Authors	Yuloskov A.; Bahrami M.R.; Mazzara M.; Imbugwa G.B.; Ndukwe I.; Kotorov I.
Year	2023
Published	Lecture Notes in Networks and Systems, 661 LNNS
DOI	http://dx.doi.org/10.1007/978-3-031-29056-5_21
Abstract	One of the most important components of a smart city is smart transport. To design large-scale smart transport systems, simulations are integral to testing the efficacy of various traffic light control algorithms. The traffic light algorithm designers take advantage of the simulation software to build reliable and robust algorithms. In this work, traffic light simulation software was designed, implemented, and tested. The program runs in a web browser and does not require installation. The roads and intersections are JSON-configurable, and the algorithms can be written in JavaScript. The simulation shows real-time statistics of the algorithms’ performance. The result of the work is a working prototype of traffic light simulation software. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	frame work; simulation; traffic light algorithm; Traffic light management

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