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Method for estimating number of vehicles at road segment based on travel time distribution rule

A travel time and distribution law technology, which is applied in the field of vehicle number estimation on a road segment based on travel time distribution law, can solve problems such as blanks, and achieve the effects of large detection volume, good implementation, and simple calculation method.

Active Publication Date: 2018-10-09
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current method of estimating the number of vehicles on a road section by using the intersection identity detection data is almost blank

Method used

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  • Method for estimating number of vehicles at road segment based on travel time distribution rule
  • Method for estimating number of vehicles at road segment based on travel time distribution rule
  • Method for estimating number of vehicles at road segment based on travel time distribution rule

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Embodiment 1

[0040] like figure 1 As shown, the specific steps of a method for estimating the number of road vehicles based on the travel time distribution law of the present invention include:

[0041] S1. A step of pre-establishing distribution models of different turns and travel times;

[0042] S2. A real-time estimation step of the number of online vehicles on the road section.

[0043] The specific steps of S1 include:

[0044] S11. Extract the travel time sample set T of any historical vehicle on the same day of the road section m m ,specific:

[0045] S111. Obtain the historical vehicle data of the road section m; the vehicle data of any historical week and the same day can be collected as the initial sample data; during specific implementation, a distribution model can be established for different days of the week. The historical data of a historical week and Monday is collected for simulation.

[0046]S112. Use the license plate as the primary key index to construct the iden...

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PUM

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Abstract

The invention relates to a method for estimating the number of vehicles at a road segment based on a travel time distribution rule. The method comprises the steps: (1), pre-building of a travel time distribution model of different turning directions and time periods: extracting the travel time samples of a road segment m at the same date in one historical cycle for classification to obtain a travel time sample set, and building the travel time distribution model of different turning directions and time periods; (2), the real-time estimation of the number of online vehicles at the road segment:collecting the data of identity detection equipment at a downstream intersection of the same road segment m in real time; calculating the moment when a vehicle enters the road segment based on the travel time, which is detected by the estimation of the above model and is employed by the vehicle for passing through the road segment m, through the moment when the vehicle leaves the road segment m and the estimated travel time; judging whether the vehicle is located on the road segment m at the moment t or not: adding one to the number of vehicles if the vehicle is located on the road segment mat the moment t, or else performing no recording, and finally obtaining the number of vehicles on the road segment m at the moment t through accumulation. The method is good in implementation performance, is high in efficiency, is low in cost, and can be widely used for the estimation of the number of vehicles at road segment.

Description

technical field [0001] The invention relates to the application field of traffic detection data, and more specifically, relates to a method for estimating the number of vehicles on a road section based on the travel time distribution law. Background technique [0002] The real-time "online vehicle number" of road sections and road networks refers to the number of vehicles running in real time on specific road sections and road networks. It is an important indicator to measure road traffic status and an important parameter for road demand and supply analysis. The real-time monitoring of the number of online vehicles on road sections helps traffic managers to grasp the situation and evolution of road congestion in a timely manner, carry out road warning and police deployment, and also facilitate fine-grained control of road resource usage and individual vehicle travel patterns. At present, some drones and high-point video are used to count the number of vehicles online on road...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/065
CPCG08G1/065
Inventor 余志邹兵何兆成栗波陈开颖
Owner SUN YAT SEN UNIV
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