A Forecasting Model for the Detection Demand of Automobiles

Gang Xie, Guang-chao Wang and Shou-feng Ma ()
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Gang Xie: Tianjin University
Guang-chao Wang: Tianjin University
Shou-feng Ma: Tianjin University

A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 105-115 from Springer

Abstract: Abstract The paper proposes a GM (1, N) model for urban automobile detection demand forecast, which lays the foundation for the planning of detection site capability as well as the site network. The paper considers the automobile detection regulation, and takes the vehicle ownership in each class basing on the detection rule as the input variables. The grey incidence analysis is applied to determine the variables to employ, and then build up the GM (1, N) model for vehicle detection demand forecast. The efficiency of model is validated with the data of the City of Tianjin.

Keywords: Automobile detection; Demand forecast; Multinomial grey model (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40072-8_10

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DOI: 10.1007/978-3-642-40072-8_10

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