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A monitoring and early warning method for illegal parking of taxis based on trajectory and map data

A trajectory data and map data technology, applied in the field of traffic safety, can solve the problems of illegal parking of taxis, less overall analysis of GPS trajectory data, etc., to achieve the effect of expanding direction and ensuring traffic safety

Active Publication Date: 2022-04-22
SHANDONG JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, taxis are equipped with positioning system (Beidou or GPS) data, and the research on monitoring vehicle driving behavior based on vehicle positioning data (GPS) mostly focuses on the monitoring of bad driving behavior, such as the "GPS-based Bad Driving Behavior Monitoring Method and System - Application for Publication”; Luo Zanwen invented “a real-time evaluation method of vehicle driving behavior based on Beidou or GPS data”, which mainly uses GPS data to analyze sudden acceleration, sudden braking, sharp turns, speeding, driving, etc. Driving behaviors such as driving at night and fatigue driving; the overall analysis of GPS trajectory data is less, and the monitoring of illegal parking of taxis is hardly involved

Method used

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  • A monitoring and early warning method for illegal parking of taxis based on trajectory and map data

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] Such as figure 1 Shown, the realization process of the present invention is a kind of taxi illegal parking monitoring and early warning method based on GPS track data and map data, comprises steps:

[0028] A. Data processing: clean and reconstruct the original Beidou or GPS positioning data of vehicle A, and remove abnormal data and redundant data;

[0029] B. Matching of trajectory data and digital map; quickly match the Beidou or GPS data of the vehicle processed in step A to the digital map, associate the vehicle trajectory data with the digital map, and determine the road section to which the vehicle belongs. Take a sample every 2 seconds;

[0030] C. Judgment of parking point clusters: a certain period of time T 1 In , the vehicle’s sampling speed is 0 for 6 consecutive times, and the center of the parking point cluster is obtained by the K-means clustering algorithm at A, and the passenger status value is G 1 Change, the direction of the trajectory line change...

Embodiment 2

[0036] Such as figure 1 Shown, the realization process of the present invention is a kind of taxi illegal parking monitoring and early warning method based on GPS track data and map data, comprises steps:

[0037] A. Data processing: clean and reconstruct the original Beidou or GPS positioning data of vehicle B, and remove abnormal data and redundant data;

[0038] B. Matching of trajectory data and digital map; quickly match the Beidou or GPS data of the vehicle processed in step A to the digital map, associate the vehicle trajectory data with the digital map, and determine the road section to which the vehicle belongs. Sampling is performed once in 1 second;

[0039] C. Judgment of parking point clusters: a certain period of time T 1 , the vehicle’s 8 consecutive sampling speeds are 0, and the center of the parking point cluster is located at C through the K-means clustering algorithm. The distance from the sideline of the road is H=0.5 meters;

[0040] D. Interpretation...

Embodiment 3

[0045] like figure 1 Shown, the realization process of the present invention is a kind of taxi illegal parking monitoring and early warning method based on GPS track data and map data, comprises steps:

[0046] A. Data processing: clean and reconstruct the original Beidou or GPS positioning data of vehicle B, and remove abnormal data and redundant data;

[0047] B. Matching of trajectory data and digital map; quickly match the Beidou or GPS data of the vehicle processed in step A to the digital map, associate the vehicle trajectory data with the digital map, and determine the road section to which the vehicle belongs. Sampling is performed once in 1 second;

[0048] C. Judgment of parking point clusters: a certain period of time T 1 In this case, the vehicle’s sampling speed is 0 for 5 consecutive times, and the center of the parking point cluster is located at D through the K-means clustering algorithm. The sideline distance H=0.8 meters;

[0049] D. Interpretation of pas...

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Abstract

In order to monitor dangerous driving behaviors such as taxi specific and common frequent parking and illegal parking, make up for the monitoring of taxi parking behavior in unmonitored areas, and ensure traffic safety, the invention provides a GPS track data and map-based Data-based illegal parking monitoring and early warning methods for taxis, including step data processing, matching of trajectory data and digital maps, interpretation of parking spots for passengers getting on and off, illegal parking interpretation and early warning, parking point clusters and map information, POIs that are interpreted from sampling data The range of illegal parking in the information is compared, and whether the taxi is illegally parked is monitored at all times. The invention promotes the fusion application of trajectory data, POI data and road data, expands the direction of information mining, and ensures traffic safety.

Description

technical field [0001] The present invention relates to the field of traffic safety, in particular to a method and system for monitoring illegal parking and driving behavior of taxis based on track data, POI (Point of Interest) data, map data and other multi-source data. Background technique [0002] Taxi is an important type of urban motor vehicles, and it is also a business card of a city. However, taxi drivers must pay attention to potential customers when driving, and meet the needs of passengers to get on and off at will. It is easy to induce driving behaviors such as illegal parking, which is harmful to urban roads. The organization of traffic flow, as well as urban traffic safety has caused a great negative impact. Frequent parking and illegal parking in taxis are almost unique and common characteristics of taxis. [0003] At present, the monitoring research on illegal parking of vehicles is mostly focused on adding monitoring instruments for monitoring, which can be...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/00G08G1/01G08G1/123H04W4/02H04W4/021H04W4/029H04W4/44G06K9/62
CPCG08G1/0125G08G1/0137G08G1/123G08G1/207G08G1/205H04W4/021H04W4/027H04W4/029H04W4/44G06F18/23213
Inventor 咸化彩
Owner SHANDONG JIAOTONG UNIV
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