P. Baptista, Gonçalo Duarte, Gonçalo Gonçalves, Catarina Rolim
{"title":"信息通信技术用于交通模式和驾驶员行为表征:在葡萄牙里斯本市的试验案例研究","authors":"P. Baptista, Gonçalo Duarte, Gonçalo Gonçalves, Catarina Rolim","doi":"10.1109/VPPC.2014.7007082","DOIUrl":null,"url":null,"abstract":"The use of information and communication technologies (ICT) may provide additional opportunities for energy savings and avoided emissions in the transportation sector, namely by using on-board devices for large scale urban sensing on the road network. This research work presents a preliminary analysis, using an on-board device, of the mobility patterns of a five driver sample in Lisbon, Portugal. The results for the average driver are: 54 km traveled and 5 trips per day; average trip distance of 11 km; and average speed of 31 km/h. Weekdays are characterized with higher vehicle usage (7% more distance, 28% more time and 10% more trips). Aggressiveness indicators are concentrated 80% on weekdays and the comparison of driving patterns indicates up to 58% of variations on fuel consumption. The monitoring technology used allows a seamless transition to longer monitoring periods and sample enlarging with more robust and accurate results.","PeriodicalId":133160,"journal":{"name":"2014 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"ICT for Mobility Pattern and Driver Behavior Characterization: Trial Case-Study in the City of Lisbon, Portugal\",\"authors\":\"P. Baptista, Gonçalo Duarte, Gonçalo Gonçalves, Catarina Rolim\",\"doi\":\"10.1109/VPPC.2014.7007082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of information and communication technologies (ICT) may provide additional opportunities for energy savings and avoided emissions in the transportation sector, namely by using on-board devices for large scale urban sensing on the road network. This research work presents a preliminary analysis, using an on-board device, of the mobility patterns of a five driver sample in Lisbon, Portugal. The results for the average driver are: 54 km traveled and 5 trips per day; average trip distance of 11 km; and average speed of 31 km/h. Weekdays are characterized with higher vehicle usage (7% more distance, 28% more time and 10% more trips). Aggressiveness indicators are concentrated 80% on weekdays and the comparison of driving patterns indicates up to 58% of variations on fuel consumption. The monitoring technology used allows a seamless transition to longer monitoring periods and sample enlarging with more robust and accurate results.\",\"PeriodicalId\":133160,\"journal\":{\"name\":\"2014 IEEE Vehicle Power and Propulsion Conference (VPPC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Vehicle Power and Propulsion Conference (VPPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VPPC.2014.7007082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Vehicle Power and Propulsion Conference (VPPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VPPC.2014.7007082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ICT for Mobility Pattern and Driver Behavior Characterization: Trial Case-Study in the City of Lisbon, Portugal
The use of information and communication technologies (ICT) may provide additional opportunities for energy savings and avoided emissions in the transportation sector, namely by using on-board devices for large scale urban sensing on the road network. This research work presents a preliminary analysis, using an on-board device, of the mobility patterns of a five driver sample in Lisbon, Portugal. The results for the average driver are: 54 km traveled and 5 trips per day; average trip distance of 11 km; and average speed of 31 km/h. Weekdays are characterized with higher vehicle usage (7% more distance, 28% more time and 10% more trips). Aggressiveness indicators are concentrated 80% on weekdays and the comparison of driving patterns indicates up to 58% of variations on fuel consumption. The monitoring technology used allows a seamless transition to longer monitoring periods and sample enlarging with more robust and accurate results.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
