Roadside parking space classification method based on clustering analysis
The invention discloses a roadside parking space classification method based on clustering analysis, and the method comprises the steps: extracting the vehicle entering time and the vehicle exiting time of all orders in a given time period according to the parking order data for a to-be-researched p...
Gespeichert in:
| Hauptverfasser: | , , , , , , , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | DU YONG XIAO RANDONG YU HAITAO DIAO SHUDANG YANG XUE FU XIAONING SUN RUI ZHU JIAJIA |
| description | The invention discloses a roadside parking space classification method based on clustering analysis, and the method comprises the steps: extracting the vehicle entering time and the vehicle exiting time of all orders in a given time period according to the parking order data for a to-be-researched parking space, and calculating the parking duration according to the vehicle entering and exiting time; performing abnormal value processing and vacant data restoration on the extracted order vehicle entering and exiting time and duration, calculating the parking space utilization rate with one hour as the interval according to the vehicle entering and exiting time and duration, and generating a utilization rate time sequence; dividing the time sequences into different time periods by using an aggregation hierarchical clustering algorithm according to all parking space utilization rate time sequences,, and calculating parking space utilization rates in the time periods; and finally, classifying parking spaces by usi |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN114005100A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN114005100A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN114005100A3</originalsourceid><addsrcrecordid>eNrjZPAMyk9MKc5MSVUoSCzKzsxLVyguSExOVUjOSSwuzkzLTE4syczPU8hNLcnIT1FISixOTVEA8pNzSotLUotA6hPzEnMqizOLeRhY0xJzilN5oTQ3g6Kba4izh25qQX58KtjUvNSSeGc_Q0MTAwNTQwMDR2Ni1AAAEMY0-A</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Roadside parking space classification method based on clustering analysis</title><source>esp@cenet</source><creator>DU YONG ; XIAO RANDONG ; YU HAITAO ; DIAO SHUDANG ; YANG XUE ; FU XIAONING ; SUN RUI ; ZHU JIAJIA</creator><creatorcontrib>DU YONG ; XIAO RANDONG ; YU HAITAO ; DIAO SHUDANG ; YANG XUE ; FU XIAONING ; SUN RUI ; ZHU JIAJIA</creatorcontrib><description>The invention discloses a roadside parking space classification method based on clustering analysis, and the method comprises the steps: extracting the vehicle entering time and the vehicle exiting time of all orders in a given time period according to the parking order data for a to-be-researched parking space, and calculating the parking duration according to the vehicle entering and exiting time; performing abnormal value processing and vacant data restoration on the extracted order vehicle entering and exiting time and duration, calculating the parking space utilization rate with one hour as the interval according to the vehicle entering and exiting time and duration, and generating a utilization rate time sequence; dividing the time sequences into different time periods by using an aggregation hierarchical clustering algorithm according to all parking space utilization rate time sequences,, and calculating parking space utilization rates in the time periods; and finally, classifying parking spaces by usi</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220201&DB=EPODOC&CC=CN&NR=114005100A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220201&DB=EPODOC&CC=CN&NR=114005100A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>DU YONG</creatorcontrib><creatorcontrib>XIAO RANDONG</creatorcontrib><creatorcontrib>YU HAITAO</creatorcontrib><creatorcontrib>DIAO SHUDANG</creatorcontrib><creatorcontrib>YANG XUE</creatorcontrib><creatorcontrib>FU XIAONING</creatorcontrib><creatorcontrib>SUN RUI</creatorcontrib><creatorcontrib>ZHU JIAJIA</creatorcontrib><title>Roadside parking space classification method based on clustering analysis</title><description>The invention discloses a roadside parking space classification method based on clustering analysis, and the method comprises the steps: extracting the vehicle entering time and the vehicle exiting time of all orders in a given time period according to the parking order data for a to-be-researched parking space, and calculating the parking duration according to the vehicle entering and exiting time; performing abnormal value processing and vacant data restoration on the extracted order vehicle entering and exiting time and duration, calculating the parking space utilization rate with one hour as the interval according to the vehicle entering and exiting time and duration, and generating a utilization rate time sequence; dividing the time sequences into different time periods by using an aggregation hierarchical clustering algorithm according to all parking space utilization rate time sequences,, and calculating parking space utilization rates in the time periods; and finally, classifying parking spaces by usi</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPAMyk9MKc5MSVUoSCzKzsxLVyguSExOVUjOSSwuzkzLTE4syczPU8hNLcnIT1FISixOTVEA8pNzSotLUotA6hPzEnMqizOLeRhY0xJzilN5oTQ3g6Kba4izh25qQX58KtjUvNSSeGc_Q0MTAwNTQwMDR2Ni1AAAEMY0-A</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>DU YONG</creator><creator>XIAO RANDONG</creator><creator>YU HAITAO</creator><creator>DIAO SHUDANG</creator><creator>YANG XUE</creator><creator>FU XIAONING</creator><creator>SUN RUI</creator><creator>ZHU JIAJIA</creator><scope>EVB</scope></search><sort><creationdate>20220201</creationdate><title>Roadside parking space classification method based on clustering analysis</title><author>DU YONG ; XIAO RANDONG ; YU HAITAO ; DIAO SHUDANG ; YANG XUE ; FU XIAONING ; SUN RUI ; ZHU JIAJIA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114005100A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>DU YONG</creatorcontrib><creatorcontrib>XIAO RANDONG</creatorcontrib><creatorcontrib>YU HAITAO</creatorcontrib><creatorcontrib>DIAO SHUDANG</creatorcontrib><creatorcontrib>YANG XUE</creatorcontrib><creatorcontrib>FU XIAONING</creatorcontrib><creatorcontrib>SUN RUI</creatorcontrib><creatorcontrib>ZHU JIAJIA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>DU YONG</au><au>XIAO RANDONG</au><au>YU HAITAO</au><au>DIAO SHUDANG</au><au>YANG XUE</au><au>FU XIAONING</au><au>SUN RUI</au><au>ZHU JIAJIA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Roadside parking space classification method based on clustering analysis</title><date>2022-02-01</date><risdate>2022</risdate><abstract>The invention discloses a roadside parking space classification method based on clustering analysis, and the method comprises the steps: extracting the vehicle entering time and the vehicle exiting time of all orders in a given time period according to the parking order data for a to-be-researched parking space, and calculating the parking duration according to the vehicle entering and exiting time; performing abnormal value processing and vacant data restoration on the extracted order vehicle entering and exiting time and duration, calculating the parking space utilization rate with one hour as the interval according to the vehicle entering and exiting time and duration, and generating a utilization rate time sequence; dividing the time sequences into different time periods by using an aggregation hierarchical clustering algorithm according to all parking space utilization rate time sequences,, and calculating parking space utilization rates in the time periods; and finally, classifying parking spaces by usi</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN114005100A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Roadside parking space classification method based on clustering analysis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T02%3A26%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=DU%20YONG&rft.date=2022-02-01&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN114005100A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |