Title :
Study on the Forecast Method of Road Accidents Based on Extension of Cubic Spline Curve
Author :
Tan De-rong ; Yin Peng
Author_Institution :
Sch. of Transp. & Vehicle Eng., Shandong Univ. of Technol., Zibo, China
Abstract :
Road accidents forecast is a crucial problem in traffic safety control. In order to successfully complete the traffic safety control work, we must look for a punctuate and accurate road accident forecast method. With the priority of high-precision of cubic spline curve fitting function combined with relevant spline smoothing method, by investigation of traffic safety condition in china, a prediction system is set up. We put the three main statistical indicators into the model to predict traffic accidents in a short period. From the results of the analysis of the error we can see that, the forecast model based on cubic spline curve fitting function is effective for traffic accidents and it also provide a new way of thinking and method on traffic accidents forecast.
Keywords :
curve fitting; forecasting theory; road accidents; road safety; road traffic; smoothing methods; splines (mathematics); traffic control; cubic spline curve fitting function; road accident forecast method; spline smoothing method; traffic safety control; Curve fitting; Economic forecasting; Predictive models; Road accidents; Road safety; Smoothing methods; Spline; Technology forecasting; Traffic control; Vehicle safety;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.654