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Detection method and system based on floating car resident trip hot spot regions

A technology of hotspot areas and detection methods, applied in the field of detection and analysis, can solve problems such as inaccurate results and inability to accurately reflect residents' travel hotspots, and achieve the effects of improving accuracy, improving discrimination efficiency, and making selection convenient

Active Publication Date: 2015-12-30
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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AI Technical Summary

Problems solved by technology

[0008] The shortcomings of the above-mentioned hotspot area monitoring model: 1) Since we are only interested in the location information of residents on the road in the process of researching residents' travel hotspots, but in the above method, users upload data when using the map APP application , resulting in a lot of noise data, which cannot accurately reflect the hot spots of residents’ travel; Residents travel hotspots, and artificially setting weights can easily lead to inaccurate analysis results

Method used

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  • Detection method and system based on floating car resident trip hot spot regions
  • Detection method and system based on floating car resident trip hot spot regions
  • Detection method and system based on floating car resident trip hot spot regions

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Embodiment Construction

[0044]The invention discloses a detection method for residents' travel hotspots based on a floating vehicle. The detection method includes a vehicle-mounted terminal installed on a floating vehicle. The floating vehicle can be motor vehicles such as taxis, buses, and private cars.

[0045] The vehicle terminal includes performing the following steps:

[0046] Obtain the sending step, obtain the real-time latitude and longitude position of the floating car and send it to the server;

[0047] Data preprocessing step, in which the data that needs to be eliminated includes the latitude and longitude range beyond the studied city; taxis are displayed as empty and other noise data;

[0048] Choosing to process floating car data at the on-board terminal can not only improve the accuracy of prediction, but also improve the efficiency of data processing, avoiding data accumulation caused by transmitting data to the server for processing.

[0049] Setting up the vehicle-mounted termina...

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Abstract

The invention provides a detection method and system based on floating car resident trip hot spot regions. The detection method comprises the conversion step and the analysis step executed by a server, wherein longitudes and latitudes are converted into plane distances, and then the analysis step is executed, the longitude and latitude data are summarized for conducting spatial clustering analysis, and therefore the resident trip hot spot regions are obtained. The detection method and system have the advantages that the accuracy of the resident trip hot spot region can be improved, the determination efficiency is improved, and convenience is provided for resident trip selection.

Description

technical field [0001] The invention relates to the technical field of detection and analysis, in particular to a detection method and system based on a floating vehicle-based travel hotspot area for residents. Background technique [0002] By reviewing the research status at home and abroad, it is found that the intelligent urban transportation system mainly focuses on the travel behavior of residents, because the main source of urban traffic volume is the travel of residents. Through the study of residents' travel, it is possible to fundamentally prevent and reduce traffic congestion, guide the construction of supporting public transport infrastructure and rationally plan the distribution of urban traffic functions. The advanced urban traffic system is based on real-time collection of dynamic traffic status information. Common traffic information collection methods include: coil detectors, ultrasonic detectors, infrared detectors, video detectors, etc. These are fixed de...

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Application Information

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IPC IPC(8): G08G1/01
Inventor 赵毅崔晓萌
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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