TY - GEN
T1 - Intelligent system in the management and control of transportation companies
T2 - 6th IEEE International Conference on Smart Internet of Things, SmartIoT 2022
AU - Lopez-Noa, Mauro Raul
AU - Chumpitaz-Caycho, Hugo Eladio
AU - Espinoza-Gamboa, Ericka Nelly
AU - Espinoza-Cruz, Manuel Alberto
AU - Cordova-Buiza, Franklin
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - company
KW - control
KW - management
KW - transportation
UR - http://www.scopus.com/inward/record.url?scp=85139046544&partnerID=8YFLogxK
U2 - 10.1109/SmartIoT55134.2022.00031
DO - 10.1109/SmartIoT55134.2022.00031
M3 - Conference contribution
AN - SCOPUS:85139046544
T3 - Proceedings - 2022 IEEE International Conference on Smart Internet of Things, SmartIoT 2022
SP - 142
EP - 147
BT - Proceedings - 2022 IEEE International Conference on Smart Internet of Things, SmartIoT 2022
Y2 - 19 August 2022 through 21 August 2022
ER -