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Hybrid communication protocol for application in monitoring system for public transport

Grant number: 17/16038-8
Support type:Research Grants - Innovative Research in Small Business - PIPE
Duration: October 01, 2019 - June 30, 2020
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Gustavo Tadeu Zaniboni
Grantee:Gustavo Tadeu Zaniboni
Company:Tracktudo Monitoramento Inteligente Ltda
CNAE: Outras atividades de telecomunicações
Desenvolvimento e licenciamento de programas de computador não-customizáveis
City: São José dos Campos
Associated scholarship(s):19/21620-3 - Hybrid communication protocol for application in monitoring system for public transport, BP.PIPE

Abstract

The debate on urban mobility in Brazil have been intensifying more and more, since most of the major cities in the country find it difficult to develop ways to reduce the amount of congestion in the central areas of urban spaces. In addition, there is an important environmental issue, since too many vehicles on the streets creates more pollution and interfere with natural and climatic issues in all scales. Contrary to the world trend (and desire), the main cause of urban mobility issues in Brazil refers to the increased use of private transport instead of using public transportation. The motivation for this migration is the fact that public transport in Brazil has low efficiency, lack of security, lack of punctuality and is often overcrowded. Currently, most of the buses used in public transport already have some kind of control system, such as GPS. However, such information is used only by the operating companies, and almost never in real-time. Other initiatives involving mobile applications have been created but have entry barrier is the cost, since they depend on large-scale use of cellular data plans. No quality information is available for review overcrowded or empty lines, segments with increased circulation and there is no room for system optimization. There is no info available for the end user regarding the precise time a bus of a particular line will get into a specific bus stop. Moreover, although some of the buses already have security cameras, the information is not available in real-time or connected to an alerts or emergencies system. Thus, we intend to develop a low cost system composed of equipment installed in vehicles, stationary equipment in roads and bus stops and situational awareness software with data analysis and communication with the user, which allows the acquisition of vehicles data, the analysis of this information using artificial intelligence algorithms and low cost means of communication to provide the real-time information to the user. (AU)