NETWORKED ADAS-BASED METHOD FOR INVESTIGATING SPATIAL-TEMPORAL CHARACTERISTICS OF ROAD AREA TRAFFIC VIOLATION BEHAVIOR

WIPO Patent Application WO/2022/233099

A1

Disclosed in the present invention is a networked ADAS-based method for investigating spatial-temporal characteristics of a road area traffic violation behavior, comprising: acquiring forward vehicle traffic violation behavior information perceived by all networked ADAS vehicles in an urban road traffic system during a traveling process; encoding the traffic violation behavior information, and packaging the traffic violation behavior information into structured data; uploading the structured data to a traffic data cloud platform, matching each traffic violation behavior with a road segment in a road of a selected area according to time information and longitude and latitude information, and outputting a traffic violation behavior spatial-temporal distribution diagram in each time period; performing statistical analysis on a road traffic violation behavior spatial-temporal state, and obtaining the occurrence frequency of traffic violation behaviors of each road segment; and performing clustering analysis on a road traffic violation behavior spatial-temporal distribution state to obtain an aggregation road segment and an aggregation time period of the traffic violation behaviors. The present invention can accurately and timely reflect the characteristics of traffic violation behaviors, and has a certain meaning for improving the road risk prevention and control level.

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LV NENGCHAO (CN)
LI JIANNAN (CN)
WU CHAOZHONG (CN)
WEN JIAQIANG (CN)
WANG YUGANG (CN)

PCT/CN2021/112101

November 10, 2022

August 11, 2021

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UNIV WUHAN TECH (CN)

G08G1/01; G06F16/2458; G06F16/28; G06F16/29; G06K9/62; G08G1/017; G08G1/054

CN105551110A	2016-05-04
CN107766401A	2018-03-06
CN110459057A	2019-11-15
CN209281615U	2019-08-20
CN105096594A	2015-11-25

HUBEI WUHAN YONGJIA PATENT AGENCY CO., LTD. (CN)

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