Monitorowanie ruchu ulicznego z wykorzystaniem chmury obliczeniowej i techniki RFID

pol Artykuł w języku polskim DOI: 10.14313/PAR_239/19

Bartosz Pawłowicz , wyślij Mateusz Salach , Bartosz Trybus , Konrad Żak Politechnika Rzeszowska, Wydział Elektrotechniki i Informatyki

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Streszczenie

W artykule przedstawiono architekturę i implementację systemu monitorowania ruchu ulicznego. Zastosowano w nim identyfikatory RFID do rozpoznawania pojazdów, w tym specjalnego znaczenia, jak karetki pogotowia, autobusy miejskie, pojazdy z obniżoną emisją spalin. Dane o ruchu są przesyłane do usługi IoT Hub w chmurze obliczeniowej Azure. Na ich podstawie dokonywana jest analiza sytuacji drogowych i podejmowane decyzje dotyczące sterowania ruchem ulicznym. Informacje sterujące są zwrotnie kierowane do urządzeń sterujących ruchem za pomocą świateł ulicznych, barier, tablic informacyjnych. W artykule opisano sposób komunikacji z chmurą obliczeniową oraz możliwości realizacji algorytmów monitorowania i sterowania ruchem za pomocą IoT Hub.

Słowa kluczowe

chmura obliczeniowa, identyfikacja pojazdów, rfid, smart city

Traffic Monitoring Using Cloud Computing and RFID Technology

Abstract

The article presents the architecture and implementation of a street traffic monitoring system. It uses RFID identifiers to recognize vehicles, including special meaning, such as ambulances, city buses, vehicles with reduced exhaust gas emissions. Traffic data is sent to the IoT Hub service in the Azure cloud. On their basis, road situations are analyzed and decisions are made regarding traffic control. Control information is fed back to traffic control devices by means of street lights, barriers, information boards. The article describes the method of communication with the computing cloud and the possibilities of implementing traffic monitoring and control algorithms using IoT Hub.

Keywords

cloud computing, rfid, smart city, vehicle identification

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