Title :
Prediction of freeway incident duration based on the multi-model fusion algorithm
Author_Institution :
Dept. of Traffic & Logistics Eng., Shandong Jiaotong Univ., Jinan, China
Abstract :
Incident management system is one of the important part of ATIS, the prediction of incident duration is an important foundation of expressway incident management system. The marked influence factors of incident duration are determined by analysis of variance, then stepwise regression analysis and decision tree are used to predict the incident duration of expressway. In order to reduce errors of the prediction based on stepwise regression analysis and decision tree, Put forward the Multi-model fusion algorithm.
Keywords :
decision trees; regression analysis; road accidents; sensor fusion; traffic information systems; ATIS; advanced traveler information system; analysis of variance; decision tree; expressway incident management system; freeway incident duration prediction; multimodel fusion algorithm; stepwise regression analysis; Analytical models; Decision trees; Equations; Mathematical model; Predictive models; Regression analysis; Transportation; Multi-model fusion; decision tree; incident duration; incident management; stepwise regression analysis;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965024