{"title":"轻轨通勤线路司机建议系统的好处","authors":"G. English, B. Benjamin, Peter Pudney","doi":"10.1109/RRCON.1990.171660","DOIUrl":null,"url":null,"abstract":"The effectiveness of a microprocessor-based coast advice system for commuter train operations is evaluated via computer simulation. A software and hardware system that was developed is tested on a four-car GO Transit train operating in normal service. Predicted fuel savings range from 10% to 20% depending on the locomotive used. There was good agreement between the simulation analysis and revenue service test results.<<ETX>>","PeriodicalId":115410,"journal":{"name":"ASME/IEEE Joint Conference on Railroads","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Benefits of a driver advice system for light rail commuter lines\",\"authors\":\"G. English, B. Benjamin, Peter Pudney\",\"doi\":\"10.1109/RRCON.1990.171660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effectiveness of a microprocessor-based coast advice system for commuter train operations is evaluated via computer simulation. A software and hardware system that was developed is tested on a four-car GO Transit train operating in normal service. Predicted fuel savings range from 10% to 20% depending on the locomotive used. There was good agreement between the simulation analysis and revenue service test results.<<ETX>>\",\"PeriodicalId\":115410,\"journal\":{\"name\":\"ASME/IEEE Joint Conference on Railroads\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ASME/IEEE Joint Conference on Railroads\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RRCON.1990.171660\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASME/IEEE Joint Conference on Railroads","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RRCON.1990.171660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Benefits of a driver advice system for light rail commuter lines
The effectiveness of a microprocessor-based coast advice system for commuter train operations is evaluated via computer simulation. A software and hardware system that was developed is tested on a four-car GO Transit train operating in normal service. Predicted fuel savings range from 10% to 20% depending on the locomotive used. There was good agreement between the simulation analysis and revenue service test results.<>