Converged urban road network traffic estimation method based on taxi GPS data and bayonet data

A technology based on GPS data and urban road network, which is applied in traffic flow detection, road vehicle traffic control systems, instruments, etc., and can solve the problems of expensive bayonet point layout and few existing points

Active Publication Date: 2019-03-29
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

However, due to the high cost of bayonet point layout, there are few points, and only the traffic status of some specific road sections can be observed

Method used

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  • Converged urban road network traffic estimation method based on taxi GPS data and bayonet data
  • Converged urban road network traffic estimation method based on taxi GPS data and bayonet data
  • Converged urban road network traffic estimation method based on taxi GPS data and bayonet data

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Embodiment Construction

[0058] A method for estimating urban road network flow based on the fusion of taxi GPS data and checkpoint data, comprising the following steps:

[0059] (1) Taxi GPS trajectory data mapping; use linear interpolation method to fill the road network coordinates, and map the taxi GPS trajectory data to the urban road network to analyze the taxi driving trajectory;

[0060] (2) Taxi speed feature extraction; calculate the average speed of two adjacent taxi GPS track points, and determine the average speed of taxis driving on the target road section through the total average speed, and count each taxi driving on the target road section The statistical value of the lower speed falling in each speed interval is used as a variable feature for flow estimation;

[0061] (3) Statistics of road network characteristics; statistics are carried out on the data detected by checkpoints in the road network, and the road grades and POI characteristics of all road sections in the road network ar...

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Abstract

The invention discloses a converged urban road network traffic estimation method based on taxi GPS data and bayonet data, comprising the following steps of: (1) mapping taxi GPS track data; (2) extracting taxi speed characteristics; (3) counting road network characteristics; (4) analyzing the similarity between road segments; (5) establishing an estimation model; (6) selecting a traffic estimationmodel; and (7) establishing a estimation model based on a support vector machine. According to the converged urban road network traffic estimation method based on the taxi GPS data and the bayonet data, the taxi GPS data can be supervised and trained through the accurate bayonet data of some segments to obtain accurate traffic volume of the urban road network.

Description

technical field [0001] The invention relates to the technical field of urban traffic big data, in particular to an urban road network flow estimation method based on the fusion of taxi GPS data and bayonet data. Background technique [0002] Urban road network flow is the basis for improving urban traffic control, alleviating urban traffic congestion, and reducing emissions. The urban road network traffic acquisition method is mainly monitored by ground sense coil detectors, while the urban road network monitoring equipment is mainly deployed on the main roads and secondary arterial roads, and thus cannot obtain the traffic in all urban road networks. [0003] At present, fixed detectors (such as fixed coils, cameras, bayonet license plate recognition, etc.) and mobile detectors (floating car GPS, mobile phones, etc.) are the main methods of collecting traffic data on road sections. However, fixed detectors in the road network are limited by the construction cost of traffic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/065
CPCG08G1/0112G08G1/0116G08G1/0133G08G1/065
Inventor 刘志远邢吉平贾若程龙陈淑燕
Owner SOUTHEAST UNIV
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