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

Author:

Song Cheng Ju1,Li Quan Yan1

Affiliation:

1. Heilongjiang Institute of Technology

Abstract

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.

Publisher

Trans Tech Publications, Ltd.

Reference4 articles.

1. Richard C. Smith, David L. Harkey, and Bobby Harris Implementation Of GIS-Based Highway Safety Analyses: Bridging The Gap, (2001).

2. Konstaninos G Zografos. Konstaninos N Androutsopoulos. Geprge Mvasilakis A Real Time Decision Support Systemfor Roadway Network Incident Response Logistics, (2002).

3. Yulong Pei. Road Traffic Safety. China Communication Press. 2004 (In Chinese).

4. National Transportation Safety Board Transportation Safety Databases Safety Study NTSB/SR-02/02,. (2002).

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