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Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

Now a days, parking management is one of the most important factors for transport planner because of shortage of parking space and ill-legal on-street parking. This paper incorporates all these viewpoints and presents a cutting-edge audit of models and studies on the stopping framework. Issues were identified with and because of the stopping, benefits, and negative marks of stopping different stopping attributes and their applications, improvement of interest models thinking about different factors, and audit of stopping approaches as a basic piece of the metropolitan vehicle framework are talked about in detail. While immature, creators found the writing propose that more prominent consideration have to be given to measurements like the simplicity of contact, walk time, stopping controls, stopping direction, and data framework, the board, and so on, at all phases of preparation and strategy definition. Taken together, referenced investigations show helpful data concerning the whole stopping framework.

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Das, P., Ahmed, M.A., Das, D. (2022). On-Street Parking Management in Urban CBD: A Critical Review. In: Das, K.N., Das, D., Ray, A.K., Suganthan, P.N. (eds) Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6893-7_8

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