Intelligent system in the management and control of transportation companies: A systematic review

Mauro Raul Lopez-Noa, Hugo Eladio Chumpitaz-Caycho, Ericka Nelly Espinoza-Gamboa, Manuel Alberto Espinoza-Cruz, Franklin Cordova-Buiza
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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.
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智能系统在运输公司管理和控制中的应用:系统综述
该研究旨在了解智能交通系统如何在2016年至2021年期间改善客运公司的管理和控制。本文采用了棱镜方法论的一种改编方法,该方法提出了一个系统,用于评估科学文献的系统综述与目标和研究问题的关系。使用的数据库为Scopus、Ebsco、ProQuest和Scielo。共发现科学论文52篇;应用选择标准后,得到11项原始研究。结论是,实施智能系统的目的是改善运输的管理和控制,通过在这些单位旅行的新体验,为乘客提供重要的优势。在审查的研究中,获得关于路线、车站、干线的准确信息的有效性,以及最重要的是,减少由于驾驶员缺乏注意力而造成的障碍和碰撞的有效性。因此,在审查的研究中发现,这些系统向用户提供有关各单位的各种时间表、路线和延误的实时信息,有助于作出决定。
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