{"title":"Development of an improved ERP system using GPS and an intelligent search technique","authors":"D. Srinivasn, Ruey Long Chou, E. Yeo","doi":"10.1109/ITSC.2002.1041347","DOIUrl":null,"url":null,"abstract":"Absmcf: This papcr dcscribcs thc development of an improved BLcctronic Kvad Pricing (ER€') system for chnrging vehicles that trnvcl on public roadways, using GPS and an inlclligcnl starch technique. The new approach ensbhs a rcnl-time assessment of road user charges based on actual mnd usage, mileage accrual, type of m d , and driving conditions. Inputs to the pricing system inchdc inltonnation from a global positioning system (GPS) rocciva and storcd infonnation on the mad system, such as, location of mid segiiients, classificntion of these scgmcnts, niid spccinl pricing d c s for each segment. The infonnation rwivcd from the GPS rccciver is used to map the vehicle accuratdy on the rood using a transformation matrix, which inaps the global coordinates to x-y plane coordinates. An intolligcnt soarch algorilhm has been used to ovcrcmiic llic limitation of currcnt GPS system to accunitcly pin point a vchicle on the map. Simulations were caricd out on actual data obtained from a road network. RcsulL~ from simulntion runs have been satisfactory. The systwn now awaits migration to the actual vehicle for further tcsting.","PeriodicalId":365722,"journal":{"name":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2002.1041347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Absmcf: This papcr dcscribcs thc development of an improved BLcctronic Kvad Pricing (ER€') system for chnrging vehicles that trnvcl on public roadways, using GPS and an inlclligcnl starch technique. The new approach ensbhs a rcnl-time assessment of road user charges based on actual mnd usage, mileage accrual, type of m d , and driving conditions. Inputs to the pricing system inchdc inltonnation from a global positioning system (GPS) rocciva and storcd infonnation on the mad system, such as, location of mid segiiients, classificntion of these scgmcnts, niid spccinl pricing d c s for each segment. The infonnation rwivcd from the GPS rccciver is used to map the vehicle accuratdy on the rood using a transformation matrix, which inaps the global coordinates to x-y plane coordinates. An intolligcnt soarch algorilhm has been used to ovcrcmiic llic limitation of currcnt GPS system to accunitcly pin point a vchicle on the map. Simulations were caricd out on actual data obtained from a road network. RcsulL~ from simulntion runs have been satisfactory. The systwn now awaits migration to the actual vehicle for further tcsting.