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Highway traffic jam detection method based on toll data and checkpoint data

A charging data and traffic congestion technology, applied in traffic flow detection, road vehicle traffic control system, traffic control system, etc., can solve the problems of less charging data and difficult application of data charging data, and achieve high comprehensiveness and accurate prediction Effect

Active Publication Date: 2020-09-29
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in fact, there are usually not many vehicles getting on and off the adjacent toll booths, so the toll data between two adjacent toll booths in a day is less, and the lack of data is the key factor that makes the toll data difficult to apply

Method used

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  • Highway traffic jam detection method based on toll data and checkpoint data
  • Highway traffic jam detection method based on toll data and checkpoint data
  • Highway traffic jam detection method based on toll data and checkpoint data

Examples

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Embodiment 1

[0058] like Figure 1-3 As shown, a method for detecting highway traffic congestion based on toll data and checkpoint data provided by this embodiment includes the following steps:

[0059] Step 1: Combine the toll data and the checkpoint data to extract the travel time of the road section; the specific method is:

[0060] 1) Extract the travel time of a single vehicle on the road section between toll stations according to the toll collection data. The toll data records the information such as the entrance and exit toll stations and the elapsed time of the motor vehicle on and off the expressway. If the time when the vehicle travels on the ramp is ignored, the difference between the time of getting off the road and the time of getting on the road is the toll charge of the vehicle from the entrance toll station to the exit. Travel time on sections between stations:

[0061] T=t out -t in

[0062] In the formula, T is the travel time of the vehicle on the road section betwe...

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Abstract

The invention discloses a highway traffic jam detection method based on toll data and checkpoint data. According to the method, the traffic jam is predicted by comprehensively utilizing the toll dataand the checkpoint data, data sources are diversified, the toll data is supplemented by utilizing the checkpoint data, the problem of less data between adjacent intercommunication toll stations can bewell solved, and the prediction is more accurate; and the road running state is analyzed by adopting the Gaussian mixture clustering algorithm, the consideration is comprehensive, different traffic forms of the road can be comprehensively simulated and analyzed, and scientificity and comprehensiveness are higher.

Description

technical field [0001] The invention relates to the field of traffic data analysis and processing, and discloses a method for detecting traffic congestion in expressway sections based on networked charging data and checkpoint data. Background technique [0002] Accurate and timely detection of the occurrence of highway traffic congestion is the prerequisite for relevant departments to take management measures to prevent secondary accidents and reduce economic losses. Due to the closed management of highways in my country, the road toll system is very complete, thus accumulating a large amount of toll data and bayonet data. The rich bicycle information in the toll data and the bayonet data and the detailed records of the vehicles driving on the highway can reflect the traffic operation status of the highway section to a certain extent. For a long time, toll data and checkpoint data have only been used as the basis for relevant departments to carry out expressway toll collect...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/065G06K9/62
CPCG08G1/0133G08G1/065G06F18/2321G06F18/23213
Inventor 赵敏孙棣华唐毅王卫平廖孝勇吴霄陈星州刘廷让
Owner CHONGQING UNIV
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