Estimates of Pedestrian Crossing Delay based on Multiple Linear Regression and Application

Abstract

Within the range of city traffic, a large number of intersections are out of control of traffic light, so the pedestrian delay and car delay, which are caused by the conflict between crossing pedestrian and right-turn cars, are very common. This article, from the pedestrian perspective, gives an analysis for the influence to pedestrian crossing delay made by right-turn cars and models the relationship between independent variables and dependent variable by fitting a linear equation to the observed data with multiple linear regression model. The independent variables includes right-turn car volume, speed, the number of pedestrians on the opposite side and the number of pedestrians on the same side. The dependent variable is pedestrian crossing delay.Then, parameters calibration is made through SPSS by stepwise regression. After the analysis of impact factors of pedestrian crossing delay, this paper gives a restrictive condition for setting exclusive right-turn phase, as when the car volume exceeds a threshold, aiming to provide certain theory basis for the management of city traffic and improve the intersection traffic capacity and service level.