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A multi-source data fusion method for urban expressway traffic state estimation

A technology of traffic status and multi-source data, which is applied in the traffic control system of road vehicles, traffic flow detection, traffic control system, etc., and can solve problems such as fusion

Active Publication Date: 2021-09-10
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Technical problem: Aiming at the problem of multi-source data fusion of urban expressway, the present invention provides a method for estimating traffic state of expressway based on data fusion

Method used

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  • A multi-source data fusion method for urban expressway traffic state estimation
  • A multi-source data fusion method for urban expressway traffic state estimation
  • A multi-source data fusion method for urban expressway traffic state estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] Step 1: Obtain the historical data collected by the detector, including: traffic volume data at the entrance and exit of the ramp of the expressway, vehicle speed data and flow data of the road section.

[0063] Step 2: By analyzing historical data, obtain the threshold range of traffic data and the threshold range of vehicle speed, judge whether there are abnormal values ​​in historical data, correct the abnormal values, smooth the data, and use the ArcGIS platform to perform spatiotemporal analysis of multi-source traffic data. match.

[0064] Step 3: According to the flow data at the entrance and exit of the ramp and the flow data of the section of the road section, the travel speed of the road section is estimated.

[0065] Step 4: Standardize the data, determine the weight coefficients of speed and flow, and perform cluster analysis on historical data.

[0066] Step 5: Estimate the road congestion through the congestion probability model, and estimate the traffic ...

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Abstract

The invention discloses a multi-source data fusion method for estimating the traffic state of an urban expressway, which belongs to the field of traffic control and management. Firstly, the flow and speed data detected by an expressway detector are collected and preprocessed, and the ArcGIS platform is used to Multi-source data is fused and matched in time and space; then, the travel speed estimation model is established according to the traffic data; secondly, the data is standardized, and the data is subjected to weighted cluster analysis by determining the weight of traffic and speed; thirdly, the congestion probability model is established; finally, The collected real-time data predicts traffic status based on weighted clustering and congestion probability.

Description

technical field [0001] The invention belongs to the field of traffic control and management, and more specifically relates to a multi-source data fusion method for estimating the traffic state of an urban expressway. Background technique [0002] How to accurately estimate the traffic state is the prerequisite for effective traffic organization control, and has become an important direction and research hotspot in traffic management research. In urban roads, urban expressways share a large amount of traffic in the city. In order to estimate the traffic status of urban expressways, traffic management departments usually obtain traffic data of urban expressways through traffic data investigation equipment. The equipment can be divided into two categories according to the type: one belongs to fixed equipment, such as fixed detectors, video collectors, traffic survey stations, etc., and the other belongs to mobile equipment, mainly including floating vehicle detectors. Consider...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/052G08G1/065G06K9/62
CPCG08G1/0125G08G1/0129G08G1/0133G08G1/052G08G1/065G06F18/23G06F18/25
Inventor 龙科军刘洋吴伟谷健何石坚邢璐
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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