Intersection signal timing parameter estimation method based on public transportation GPS data

Abstract

The invention discloses an intersection signal timing parameter estimation method based on public transportation GPS data, and the method comprises the following steps: 1, selecting one signal intersection, extracting the GPS data of all buses passing by the intersection in one time period from a data base, and building an intersection single-bus travel time estimation model through the GPS data of each bus passing by the intersection; 2, finding the first bus (CBV) passing by the intersection in each signal period through a first-clustering and second-classifying method based on the obtained travel time when each bus passes by the intersection; 3, calculating the time when all CBV arrives at a parking line of the intersection and the time when a front vehicle corresponding to each CBV arrives at the parking line of the intersection, and obtaining the period duration and a period boundary estimation result based on the above; 4, building an intersection red-light duration estimation model through employing the GPS data sequence of the CBV nearby the parking line and combining with the period duration and the period boundary estimation result.

Description

technical field [0001] The invention relates to a method for estimating timing parameters of intersection signals, in particular to a method for estimating timing parameters for intersection signals based on bus GPS data. Background technique [0002] Intersection signal timing parameters (such as signal cycle duration, red light duration, etc.) are important inputs for signal performance measurements (such as queue length) and traffic models related to intersections. However, these parameters are mostly in dynamic changes, and The change of signal timing parameters affects bus scheduling, travel planning, and estimation of travel time. If these parameters cannot be obtained in time, the above work will be difficult to carry out. Therefore, it is of great significance and value to study how to understand and obtain the timing parameters of intersection signals in time through the method of data analysis. [0003] In fact, the author P.Hao realized the estimation of signal t...

Images