Traffic prediction using wide range of techniques: A Review
By: Srinivas, T. Aditya Sai.
Contributor(s): Mahalaxmi, G.
Publisher: Telangana IUP Publications 2023Edition: Vol,19 (1), march.Description: 19-47p.Subject(s): Electrical Engineering In: IUP journal of information technologySummary: Largest disruptive component of traffic management system is road transport. Intelligent Transportation System ITS) necessitate exact traffic forecast.However, transport departments continue to struggle to choose an ITS prediction method.A user must be able to appropriately utilize estimation model information. This paper covers contemporary estimation approaches, explains their fundamental concepts and evaluates different traffic estimation approaches, explains their fundamental concepts and evaluates different traffic estimation approach for the benefit of decision makers.Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database | School of Engineering & Technology Archieval Section | Not for loan | 2023-0976 |
Largest disruptive component of traffic management system is road transport. Intelligent Transportation System ITS) necessitate exact traffic forecast.However, transport departments continue to struggle to choose an ITS prediction method.A user must be able to appropriately utilize estimation model information. This paper covers contemporary estimation approaches, explains their fundamental concepts and evaluates different traffic estimation approaches, explains their fundamental concepts and evaluates different traffic estimation approach for the benefit of decision makers.
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