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Title	Optimized Load Balancing And Routing Using Machine Learning Approach In Intelligent Transportation Systems: A Survey
ID_Doc	40735
Authors	Saravanan M.; Devipriya R.; Sakthivel K.; Sujith J.G.; Saminathan A.; Vijesh S.
Year	2023
Published	Lecture Notes in Networks and Systems, 647 LNNS
DOI	http://dx.doi.org/10.1007/978-3-031-27409-1_85
Abstract	Mobile Adhoc Networks (MANET) evolves towards high mobility and provides better provision for connected nodes in Vehicular Adhoc Networks (VANET) and that faces different challenges due to high dynamicity in vehicular environment, which encourages reconsidering of outdated wireless design tools. Several applications like traveler evidence system, traffic management and public transportation systems are supported by intelligent transportation systems (ITS). In order to improve traffic safety, public transportation and compact eco-friendly contamination ITS supports well using smart city urban planning scheme. In this survey we reviewed more number of papers and extracted various insights about the high mobility node and its environment. Parameters like packet delivery ratio, traffic security, traffic density, transmission rate etc. are considered and measured its contribution towards the attainment of parameter in the scale of high, medium and low. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	Intelligent transportation system; Mobile adhoc network; Traffic security and traffic density; Vehicular adhoc network

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