Abstract

Info

Title:: Prediction model of operating speed for passenger cars of visual road surface area

Author(s):: ZHANG Chi; YAN Xiao-min; HUA Gui-long; XIONGLi; MENG Liang; (1. Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, Shaanxi, China; 2. CCCC First Highway Consultants Co. Ltd., Xi’an 710075, Shaanxi, China)

Keywords:: traffic engineering; operating speed model; road surface area; Otsu algorithm

Abstract:: In order to study the effect of horizontal curve, profile and cross section on vehicle’s operating speed, drivers’ visual area of road surface was used as an index for evaluation. A multifunctional data acquisition instrument which integrates the technology of video collection, the technology of GPS and high precision speed picking-up was used to gather drivers’ visual area of road surface and operating speed. The single frame colorful vision image was treated by graying with weighted algorithm. Using the improved Otsu algorithm for image segmentation, drivers visual area of road surface was extracted based on the line scan algorithm. The correlation between factors and operating speed model were established by SPSS. The results show that the correlation between road surface area and operating speed model is positively, and the correlation coefficient is 0.676. The average value of relative error between prediction value and observed value is 3.88%. The prediction model proposed is easy to manipulate and efficient in working, which can break the limitation of current prediction methods.