{"id":"https://openalex.org/W6930831713","doi":"https://doi.org/10.5281/zenodo.15207600","title":"Deep Learning-Based Pedestrians Controlling System on Zebra Crossing","display_name":"Deep Learning-Based Pedestrians Controlling System on Zebra Crossing","publication_year":2025,"publication_date":"2025-04-13","ids":{"openalex":"https://openalex.org/W6930831713","doi":"https://doi.org/10.5281/zenodo.15207600"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.15207600","doi":"https://doi.org/10.5281/zenodo.15207600","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15207600","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.15207600","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Indrabhan Kurkute, Swapnali Landge, Madhura Ranmale, Vrushali Ghorpade, Shiveswari Nibe","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Indrabhan Kurkute, Swapnali Landge, Madhura Ranmale, Vrushali Ghorpade, Shiveswari Nibe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35627549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9429000020027161,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9429000020027161,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.020800000056624413,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.018200000748038292,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian-behavior-prediction","display_name":"pedestrian behavior prediction","score":0.6909999847412109},{"id":"https://openalex.org/keywords/zebra-crossings","display_name":"zebra crossings","score":0.7960000038146973},{"id":"https://openalex.org/keywords/pedestrian-crossing-speed","display_name":"pedestrian crossing speed","score":0.675000011920929},{"id":"https://openalex.org/keywords/intelligent-transportation-systems","display_name":"intelligent transportation systems","score":0.7609999775886536},{"id":"https://openalex.org/keywords/road-safety","display_name":"road safety","score":0.8529999852180481},{"id":"https://openalex.org/keywords/pedestrian-vehicle-crashes","display_name":"pedestrian-vehicle crashes","score":0.5090000033378601},{"id":"https://openalex.org/keywords/decision-models","display_name":"decision models","score":0.6819999814033508}],"concepts":[{"id":"https://openalex.org/C2779700847","wikidata":"https://www.wikidata.org/wiki/Q775594","display_name":"Countdown","level":2,"score":0.9599000215530396},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6891999840736389},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6643000245094299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5946999788284302},{"id":"https://openalex.org/C2777819797","wikidata":"https://www.wikidata.org/wiki/Q8010","display_name":"Pedestrian crossing","level":3,"score":0.4291999936103821},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.426800012588501},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.42250001430511475},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.3926999866962433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.376800000667572},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36410000920295715},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3538999855518341},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3467999994754791},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29019999504089355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25529998540878296},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2515999972820282}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.15207600","doi":"https://doi.org/10.5281/zenodo.15207600","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15207600","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.5281/zenodo.15207601","doi":"https://doi.org/10.5281/zenodo.15207601","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15207601","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.5281/zenodo.15207600","doi":"https://doi.org/10.5281/zenodo.15207600","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15207600","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.9333000183105469,"display_name":"Sustainable cities and communities"},{"id":"https://metadata.un.org/sdg/9","score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure"}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/9","score":0.51841139793396,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"'Vision":[1],"zero'":[2],"goal":[3],"represents":[4],"the":[5,8,32,46,63,126,129,137,143,153,163,169,192],"apex":[6],"of":[7,48,65,100,128,171],"European":[9],"Commission's":[10],"road":[11,15],"safety":[12,16,180],"plan,":[13],"andenhancing":[14],"is":[17,53,97],"seen":[18],"as":[19],"a":[20,54,73,119,147],"primary":[21],"objective":[22],"by":[23],"governments":[24],"and":[25,62,78,118,175,188],"transport":[26],"policymakers":[27],"across":[28],"theglobe.":[29],"Due":[30],"to":[31,70,85,124,136,177],"greater":[33],"death":[34],"rate":[35],"associated":[36],"with":[37,105,110],"crashes":[38],"involving":[39],"pedestrians,":[40],"this":[41,83,94],"vulnerable":[42],"usergroup":[43],"has":[44],"been":[45],"focus":[47],"increased":[49],"study.":[50],"Consequently,":[51],"there":[52],"growing":[55],"need":[56],"for":[57,181],"studies":[58],"thatexamine":[59],"pedestrian":[60,106],"behavior":[61],"implementation":[64],"Intelligent":[66],"Transport":[67],"Systems":[68],"designed":[69],"aidpedestrians.":[71],"Using":[72],"Countdown":[74],"Signal":[75],"Timer":[76],"(CST)":[77],"some":[79],"machine":[80],"learning":[81],"techniques,":[82],"researchaims":[84],"forecast":[86],"how":[87,160,176],"pedestrians":[88,161],"would":[89],"behave":[90],"at":[91],"crossings.":[92],"Presenting":[93],"case":[95],"study":[96],"an":[98],"analysis":[99],"asimulated":[101],"environment":[102],"model":[103,121,145],"intersection":[104],"traffic":[107],"lights":[108],"equipped":[109],"countdown":[111,172],"signaltimings.":[112],"An":[113],"X-Convolutional":[114],"Neural":[115],"Network":[116],"(X-CNN)":[117],"decision-making":[120],"were":[122],"bothemployed":[123],"meet":[125],"requirements":[127],"analysis.":[130],"Both":[131],"models":[132],"demonstrated":[133],"satisfactory":[134],"performance,according":[135],"results.":[138],"To":[139],"be":[140],"more":[141,167],"specific,":[142],"X-CNN":[144],"used":[146],"Mean":[148],"Squared":[149],"Error":[150],"value":[151],"topredict":[152],"pedestrians'":[154],"crossing":[155],"speed.":[156],"By":[157],"accurately":[158],"predicting":[159],"cross":[162],"street,":[164],"we":[165],"maylearn":[166],"about":[168],"impact":[170],"signal":[173],"timers":[174],"improve":[178],"infrastructure":[179],"thisdemographic":[182],"so":[183],"that":[184],"they":[185],"receive":[186],"timely":[187],"relevant":[189],"information":[190],"through":[191],"speaker.":[193]},"counts_by_year":[],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2025-10-10T00:00:00"}
