H. Hiraishi
{"title":"基于乘客状况的认知车辆系统路径规划","authors":"H. Hiraishi","doi":"10.4018/IJSSCI.2018040102","DOIUrl":null,"url":null,"abstract":"Thisarticleproposesaroute-planningmethodforanenvironmentinwhichself-drivingvehiclesare widelyused.Suchvehiclesgenerateanewroutetoavoidtrafficcongestionwhenitoccurs.Through theself-developedtrafficsimulator,theauthorwasabletoclarifythatitisnotalwaysbesttogenerate anavoidanceroute,andthedecisiontodrivealongthecurrentroutewithoutgeneratinganavoidance routebecomesimportantincertaincases.Thus,theauthorproposesamethodinwhichavehiclejudges whethertogenerateanavoidanceroutebasedonthepassenger’scondition.Todetectthepassenger’s condition,theauthorusesasitting-pressuresensorandsucceededinrecognizingpassengerfatigue. Theauthorcanthereforemakecertainjudgments:Thevehiclewillgoalongthecurrentrouteifthe passengerseemstoberelaxedandinacomfortableatmosphere,thevehiclewillarriveearlierby avoidingtrafficcongestionifthepassengerseemstobetiredorirritated,orthevehiclewillstopfor abreakperiodifthepassengerseemstobesignificantlytired. KeywoRdS A* Search, Cognitive Route Search, Cognitive Vehicle System, Route-Planning, Self-Driving, Sitting-Pressure Sensor, Traffic Congestion, Traffic Simulation","PeriodicalId":432255,"journal":{"name":"Int. J. Softw. Sci. Comput. Intell.","volume":"560 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Passenger Condition Based Route-Planning for Cognitive Vehicle System\",\"authors\":\"H. Hiraishi\",\"doi\":\"10.4018/IJSSCI.2018040102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Thisarticleproposesaroute-planningmethodforanenvironmentinwhichself-drivingvehiclesare widelyused.Suchvehiclesgenerateanewroutetoavoidtrafficcongestionwhenitoccurs.Through theself-developedtrafficsimulator,theauthorwasabletoclarifythatitisnotalwaysbesttogenerate anavoidanceroute,andthedecisiontodrivealongthecurrentroutewithoutgeneratinganavoidance routebecomesimportantincertaincases.Thus,theauthorproposesamethodinwhichavehiclejudges whethertogenerateanavoidanceroutebasedonthepassenger’scondition.Todetectthepassenger’s condition,theauthorusesasitting-pressuresensorandsucceededinrecognizingpassengerfatigue. Theauthorcanthereforemakecertainjudgments:Thevehiclewillgoalongthecurrentrouteifthe passengerseemstoberelaxedandinacomfortableatmosphere,thevehiclewillarriveearlierby avoidingtrafficcongestionifthepassengerseemstobetiredorirritated,orthevehiclewillstopfor abreakperiodifthepassengerseemstobesignificantlytired. KeywoRdS A* Search, Cognitive Route Search, Cognitive Vehicle System, Route-Planning, Self-Driving, Sitting-Pressure Sensor, Traffic Congestion, Traffic Simulation\",\"PeriodicalId\":432255,\"journal\":{\"name\":\"Int. J. Softw. Sci. Comput. Intell.\",\"volume\":\"560 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Softw. Sci. Comput. Intell.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJSSCI.2018040102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Softw. Sci. Comput. Intell.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJSSCI.2018040102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Passenger Condition Based Route-Planning for Cognitive Vehicle System
Thisarticleproposesaroute-planningmethodforanenvironmentinwhichself-drivingvehiclesare widelyused.Suchvehiclesgenerateanewroutetoavoidtrafficcongestionwhenitoccurs.Through theself-developedtrafficsimulator,theauthorwasabletoclarifythatitisnotalwaysbesttogenerate anavoidanceroute,andthedecisiontodrivealongthecurrentroutewithoutgeneratinganavoidance routebecomesimportantincertaincases.Thus,theauthorproposesamethodinwhichavehiclejudges whethertogenerateanavoidanceroutebasedonthepassenger’scondition.Todetectthepassenger’s condition,theauthorusesasitting-pressuresensorandsucceededinrecognizingpassengerfatigue. Theauthorcanthereforemakecertainjudgments:Thevehiclewillgoalongthecurrentrouteifthe passengerseemstoberelaxedandinacomfortableatmosphere,thevehiclewillarriveearlierby avoidingtrafficcongestionifthepassengerseemstobetiredorirritated,orthevehiclewillstopfor abreakperiodifthepassengerseemstobesignificantlytired. KeywoRdS A* Search, Cognitive Route Search, Cognitive Vehicle System, Route-Planning, Self-Driving, Sitting-Pressure Sensor, Traffic Congestion, Traffic Simulation
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