Visual analysis method for potential factors of path selection based on online car-hailing trajectory
The invention discloses a visual analysis method for potential factors of path selection based on an online car-hailing trajectory, and the method comprises the following steps: obtaining a trajectory data point set of an online car-hailing order, matching a road network of each trajectory point, an...
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creator | TIAN LIANG QU DEZHAN LIN YIMING ZHANG HUIJIE LYU CHENG |
description | The invention discloses a visual analysis method for potential factors of path selection based on an online car-hailing trajectory, and the method comprises the following steps: obtaining a trajectory data point set of an online car-hailing order, matching a road network of each trajectory point, and obtaining the serial number of a road where the trajectory point is located; for each online car-hailing order, extracting the number of a road by which the online car-hailing of the order passes in the selected interval, converting the road number of each online car-hailing order into a road sequence, and calculating a similarity matrix of the road sequence; projecting by taking the obtained similarity matrix as input, extracting trajectory clusters with similar attributes, and extracting frequently appearing subsequences as key paths; counting influence factors related to driver path selection on each path, obtaining subjective selection of the user on the related factors of each path through a weight model, an |
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for each online car-hailing order, extracting the number of a road by which the online car-hailing of the order passes in the selected interval, converting the road number of each online car-hailing order into a road sequence, and calculating a similarity matrix of the road sequence; projecting by taking the obtained similarity matrix as input, extracting trajectory clusters with similar attributes, and extracting frequently appearing subsequences as key paths; counting influence factors related to driver path selection on each path, obtaining subjective selection of the user on the related factors of each path through a weight model, an</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SIGNALLING ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR ; 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QU DEZHAN ; LIN YIMING ; ZHANG HUIJIE ; LYU CHENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113327079A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SIGNALLING</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><topic>TRAFFIC CONTROL SYSTEMS</topic><toplevel>online_resources</toplevel><creatorcontrib>TIAN LIANG</creatorcontrib><creatorcontrib>QU DEZHAN</creatorcontrib><creatorcontrib>LIN YIMING</creatorcontrib><creatorcontrib>ZHANG HUIJIE</creatorcontrib><creatorcontrib>LYU CHENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>TIAN LIANG</au><au>QU DEZHAN</au><au>LIN YIMING</au><au>ZHANG HUIJIE</au><au>LYU CHENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Visual analysis method for potential factors of path selection based on online car-hailing trajectory</title><date>2021-08-31</date><risdate>2021</risdate><abstract>The invention discloses a visual analysis method for potential factors of path selection based on an online car-hailing trajectory, and the method comprises the following steps: obtaining a trajectory data point set of an online car-hailing order, matching a road network of each trajectory point, and obtaining the serial number of a road where the trajectory point is located; for each online car-hailing order, extracting the number of a road by which the online car-hailing of the order passes in the selected interval, converting the road number of each online car-hailing order into a road sequence, and calculating a similarity matrix of the road sequence; projecting by taking the obtained similarity matrix as input, extracting trajectory clusters with similar attributes, and extracting frequently appearing subsequences as key paths; counting influence factors related to driver path selection on each path, obtaining subjective selection of the user on the related factors of each path through a weight model, an</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SIGNALLING SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TRAFFIC CONTROL SYSTEMS |
title | Visual analysis method for potential factors of path selection based on online car-hailing trajectory |
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