Supercharge Your Innovation With Domain-Expert AI Agents!

Taxi illegal parking monitoring and early warning method based on GPS trajectory data and map data

A technology of trajectory data and map data, 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: 2019-11-08
SHANDONG JIAOTONG UNIV
View PDF13 Cites 9 Cited by
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Taxi illegal parking monitoring and early warning method based on GPS trajectory data and map data
  • Taxi illegal parking monitoring and early warning method based on GPS trajectory data and map data
  • Taxi illegal parking monitoring and early warning method based on GPS trajectory data and map data

Examples

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 In , the vehicle’s sampling speed is 0 for 6 consecutive times, and the center of the parking point cluster is located at A through the K-means clustering algorithm, and the passenger status value is Change, the direction of the trajectory line changes ...

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 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 , the vehicle has 8 continuous sampling speeds of 0, the center of the parking point cluster is located at C through the K-means clustering algorithm, and the passenger status value is No change, the direction of the trajectory line changes by angle...

Embodiment 3

[0045] 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:

[0046] A. Data processing: clean and reconstruct the original Beidou or GPS positioning data of vehicle B, and remove abnormal 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 In the above, 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, and the passenger status value is Change, the direction of the trajectory ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

In order to monitor dangerous driving behaviors such as particular and common frequent parking, illegal parking and the like of taxies, make up for the monitoring of taxi parking behaviors in areas without monitoring, and guarantee the traffic safety, the invention provides a taxi illegal parking monitoring and early warning method based on GPS trajectory data and map data. The method comprises the following steps of data processing, matching of the trajectory data and a digital map, loading and unloading passenger parking point interpretation and illegal parking interpretation and early warning, comparing parking point clusters read out by sampling data with an illegal parking range in map information and POI information, and always monitoring whether a taxi is illegally parking. The taxiillegal parking monitoring and early warning method based on the GPS trajectory data and the map data provided by the invention promotes the fusion application of the trajectory data, POI data and road data, expands the direction of information mining and ensures the 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 trajectory 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 c...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(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 咸化彩冯海霞张萌萌张丽彩白燕刘海涛孙广林
Owner SHANDONG JIAOTONG UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More