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Analysis method of key flow direction and critical path of road network traffic flow

A critical path, analysis method technology, applied in traffic flow detection, character and pattern recognition, instrumentation, etc., can solve problems such as missing and different trajectories

Active Publication Date: 2021-05-18
JIANGSU ZHITONG TRANSPORTATION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But different from the real-time vehicle trajectory points obtained by GPS equipment, on the one hand, the vehicle trajectory obtained based on the video bayonet data is essentially the actual layout position of the equipment, that is, what is obtained through it is a "sparse" trajectory ; On the other hand, due to the "missing detection" of the video recognition equipment, it will lead to the phenomenon of missing tracks

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  • Analysis method of key flow direction and critical path of road network traffic flow
  • Analysis method of key flow direction and critical path of road network traffic flow
  • Analysis method of key flow direction and critical path of road network traffic flow

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Embodiment

[0038] A road network traffic flow key flow and critical path analysis method, based on the vehicle trajectory generated by the checkpoint data, using the spectral clustering method to split the trajectory, extracting the spatiotemporal characteristic variables of the travel trajectory on this basis, and realizing the travel through the topic model Clustering of trajectories, so as to identify the key flow direction and key path of the road network, specifically includes the following steps,

[0039] S1. Read the historical passing data of bayonet equipment detection, where the passing data includes equipment number, passing time, and plate number; remove the passing records of buses and taxis; according to the plate number in the passing data, For all the vehicles passing through the checkpoints in the daily road network, the complete travel trajectory of the vehicle on that day is generated, that is, the set of passing points arranged in time series X={x 1 ,...,x i ,...,x ...

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Abstract

The invention provides a road network traffic flow key flow direction and key path analysis method, based on the vehicle trajectory generated by the bayonet data, the trajectory is split by using the spectral clustering method, on this basis, the spatiotemporal characteristic variables of the travel trajectory are extracted, and through the subject The model realizes the clustering of travel trajectories, thereby identifying the key flow direction and key path of the road network; the present invention uses a topic model with a high degree of "tolerance" for missing information to analyze vehicle trajectories, and then extracts road network information from vehicle trajectories. The key flow direction and critical path of traffic flow provide important support for the analysis of the demand side characteristics of the road network.

Description

technical field [0001] The invention relates to a road network traffic flow key flow direction and a key path analysis method. Background technique [0002] The large-scale application of various advanced communication and computer technologies on the road network makes it possible to obtain the complete travel trajectory of a single vehicle on the road network. Because vehicle travel trajectories contain rich travel information, such as travel time, travel routes, etc., it not only has great advantages in analyzing the travel characteristics of a single individual, but also has great advantages in studying the overall travel behavior characteristics of the road network. High practical value and advantages. [0003] Both vehicle identification and vehicle positioning can achieve the effect of vehicle trajectory tracking. Obtaining vehicle trajectories based on video bayonet data is a typical application of vehicle recognition. But different from the real-time vehicle traj...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06K9/62
Inventor 周东陈凝吕伟韬盛旺
Owner JIANGSU ZHITONG TRANSPORTATION TECH