Urban trunk road travel time estimation method based on variable weight mixed distribution

A technology of travel time and mixed distribution, applied in the field of intelligent transportation, can solve the problems of unsuitable arterial travel time distribution and reliability evaluation, achieve accurate estimation and reliability evaluation, and overcome the effect of transplantation

Active Publication Date: 2016-06-15
BEIHANG UNIV
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Problems solved by technology

However, due to the lack of analysis of stochastic dynamic traffic flow and signal control mechanism,

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  • Urban trunk road travel time estimation method based on variable weight mixed distribution
  • Urban trunk road travel time estimation method based on variable weight mixed distribution
  • Urban trunk road travel time estimation method based on variable weight mixed distribution

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Embodiment Construction

[0020] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0021] The present invention provides a method for estimating travel time of urban arterial roads based on mixed distribution of variable weights, the process is as follows figure 1 As shown, it mainly includes the following steps:

[0022] The first step is to determine the target research area: the research area includes arterial roads, intersections and road sections. For arterial roads, perform the second step, and for intersections and road segments, perform the third step.

[0023] In the second step, for arterial roads, mobile detectors (such as floating vehicles) or fixed-point detectors (such as license plate recognition and matching systems) are used to collect the travel time data of the arterial roads of passing vehicles, and pre-process the collected arterial road travel time data. Processing, filtering and removing abnormal data.

[0...

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Abstract

The invention discloses an urban trunk road travel time estimation method based on variable weight mixed distribution, and belongs to the technical field of intelligent traffic. The method comprises the steps: collecting a trunk road travel time parameter of a trunk road in a target research region, preprocessing and verifying the distribution mode of the trunk road travel time in all time periods, building a Gaussian mixed distribution model with a fixed weight, and determining an optimal component number K; collecting the flow in all flowing direction and a signal control parameter for an intersection and an road segment, and building a mixed distribution weight coefficient Logistic function with K components; building a variable weight mixed distribution model, estimating an unknown parameter in the variable weight mixed distribution model, and finally carrying out the estimation of trunk road travel time distribution and the estimation of reliability service level. Compared with a conventional single-distribution-function and fixed weight mixed distribution model, the method irons out the defects that the transplantability and the adaptability are poor, and can achieve the more accurate estimation and reliability evaluation of the trunk road travel time distribution.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and specifically refers to a method for estimating travel time of main roads in cities based on mixed distribution of variable weights, which can be applied to describe and understand the distribution characteristics of travel time of main roads in cities, and to estimate travel times under different traffic conditions and signal control conditions. Travel time distribution, evaluating the probability of the arterial travel time reaching the expected value and reliability service level. Background technique [0002] Travel time, as the most intuitive index to characterize the role of traffic supply and demand and describe the quality of urban traffic operation, has always been valued by traffic travelers and traffic management departments. With the acceleration of urbanization and the increasingly intensified contradiction between traffic supply and demand, travelers not only r...

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Application Information

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IPC IPC(8): G08G1/01
CPCG08G1/0104
Inventor 陈鹏王云鹏余贵珍于海洋鹿应荣
Owner BEIHANG UNIV
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