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...

AI Technical Summary

Problems solved by technology

However, this method needs to use on-site test data at the intersection. If the signal timing parameters change, this method cannot respond in time

Secondly, this method estimates the cycle boundary based on the time when the vehicle arrives at the stop line, but since it can only obtain the exact time when the vehicle reaches the upstream and downstream of the signalized intersection, it cannot know its operating status inside the signalized intersection , so the time to reach the stop line at the intersection cannot be well estimated

In addition, the estimation method of signal red light duration proposed by the author is based on the assumption that vehicles arrive uniformly, which is inconsistent with the actual situation

Images