Systems trying to solve mobility issues in cities, such as high levels of accidents and traffic congestion, have been developed\nworldwide. Intelligent Transportation Systems (ITS) services focused on urban public transport are an option contributing to\nsolve such issues. A few intermediate cities in the Latin American context have developed some of these ITS services, which are\nmainly based on a tracking system for public transport vehicles. Such tracking systems have great limitations in terms of coverage,\navailability, and operational cost. In addition, they are commonly isolated mobility solutions, which cannot be easily integrated\nwith other mobility services in the city because they are not based on an ITS architecture. In order to improve public transportation\nsystems in intermediate cities, we proposed the development of an IoT-based public vehicle tracking system, using LoRa\n(Long Range) and ITS services. In this research, we developed the proposed system as a proof of concept. We designed and\nexecuted some experiments, in order to adjust parameters of the LoRa technology and to test its operation. This article presents the\nmethods we followed for developing the proof-of-concept model, a description of the experiments, and their results. The results\nlead to conclude that the LoRa technology and an IoT-based system are adequate for implementation of a mobility service such as\nthe one we propose, once important technical restrictions related mainly to Line of Sight (LoS) are considered. Key aspects for\nimplementation were also identified for deploying the service (as a prototype) in the city of Popay´an.
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