Mauro Raul Lopez-Noa, Hugo Eladio Chumpitaz-Caycho, Ericka Nelly Espinoza-Gamboa, Manuel Alberto Espinoza-Cruz, Franklin Cordova-Buiza
{"title":"Intelligent system in the management and control of transportation companies: A systematic review","authors":"Mauro Raul Lopez-Noa, Hugo Eladio Chumpitaz-Caycho, Ericka Nelly Espinoza-Gamboa, Manuel Alberto Espinoza-Cruz, Franklin Cordova-Buiza","doi":"10.1109/SmartIoT55134.2022.00031","DOIUrl":null,"url":null,"abstract":"The study aimed to know how the intelligent transportation system improves the management and control of passenger transportation companies between 2016 and 2021. An adaptation of the Prisma methodology was used, which poses a system for evaluating the systematic review of scientific literature on its relationship with the objective and the research question. The databases used were Scopus, Ebsco, ProQuest and Scielo. A total of 52 scientific articles were found; and after applying the selection criteria,11 original studies were obtained. It is concluded that the intelligent systems were implemented with the aim of improving the management and control of transportation, through the new experience of traveling in these units allowing an important advantage for passengers. In the studies reviewed, the effectiveness of having accurate information regarding the route, stations, trunk lines and, above all, reducing obstacles and collisions due to drivers' lack of attention is exposed. Consequently, in the research reviewed, it has been found that these systems provide the user with real-time information on the various schedules, routes and delays of the units, helping to make decisions.","PeriodicalId":422269,"journal":{"name":"2022 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Smart Internet of Things (SmartIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartIoT55134.2022.00031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The study aimed to know how the intelligent transportation system improves the management and control of passenger transportation companies between 2016 and 2021. An adaptation of the Prisma methodology was used, which poses a system for evaluating the systematic review of scientific literature on its relationship with the objective and the research question. The databases used were Scopus, Ebsco, ProQuest and Scielo. A total of 52 scientific articles were found; and after applying the selection criteria,11 original studies were obtained. It is concluded that the intelligent systems were implemented with the aim of improving the management and control of transportation, through the new experience of traveling in these units allowing an important advantage for passengers. In the studies reviewed, the effectiveness of having accurate information regarding the route, stations, trunk lines and, above all, reducing obstacles and collisions due to drivers' lack of attention is exposed. Consequently, in the research reviewed, it has been found that these systems provide the user with real-time information on the various schedules, routes and delays of the units, helping to make decisions.