Title :
Vehicular Traffic Flow Dispersion Prediction of Coordinated Signal Control Based on Support Vector Regression
Author :
Ximin, Liu ; Shoufeng, Lu
Author_Institution :
Changsha Univ. of Sci. & Technol., Changsha
Abstract :
Signal control can reduce traffic delay and improve traffic safety. But when the vehicle meets with red light, it must stop at intersection to wait green light. Coordinated signal control can improve the continuity of vehicular traffic flow movement and reduce delay. Coordinated signal setting is based on platoon dispersion prediction. Thus, improving prediction accuracy can obtain significant benefit for signal coordination. The paper bases on support vector regression to predict platoon dispersion and compares prediction accuracy with Robertson formula.
Keywords :
regression analysis; road safety; road traffic; road vehicles; support vector machines; traffic control; platoon dispersion prediction; support vector regression; traffic delay; traffic safety; traffic signal control coordination; vehicular traffic flow dispersion prediction; Accuracy; Adaptive control; Control systems; Delay; Dispersion; Frequency; Programmable control; Signal generators; Traffic control; Vehicles; Coordinated Traffic Signal Control; Platoon Dispersion Prediction; Support Vector Regression;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347232