The Prediction Model of Macro-Road Traffic Accident Basing on Radial Basis Function

Abstract:

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The Macro-road traffic accident prediction is an important branch of ITS, which could not only make improving direction, but also improve the traffic operation. The paper based on the analyzing the existing macro prediction model, aiming at the existing shortcomings of prediction models with low accuracy and slow convergence speed, introducing the Radial Basis Function, establishing the accident prediction model between Population, Economic situation, cars, road mileage and the index of accident Statistics, and apply Matlab to Simulation to prove the Feasibility and Practicality of the model.

Info:

Periodical:

Edited by:

Shucai Li

Pages:

981-984

DOI:

10.4028/www.scientific.net/AMM.97-98.981

Citation:

C. J. Song and Q. Y. Li, "The Prediction Model of Macro-Road Traffic Accident Basing on Radial Basis Function", Applied Mechanics and Materials, Vols. 97-98, pp. 981-984, 2011

Online since:

September 2011

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Price:

$35.00

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