Traffic Congestion Monitoring System in Surabaya City Based on Internet of Things (IoT)
Abstract
The growth and development of the city of Surabaya are definitely closely related to population growth and an increase in the number of immigrants, which increases the number of motorized vehicles on the road. However, since the number of motorized vehicles has expanded faster than the capacity of the roads, traffic congestion has resulted. Congestion monitoring is designed to provide traffic density data to road users so that they can choose the best route to take at the appropriate time. This study describes a four-way junction with infrared sensors in each of the paths. As a vehicle detector, this infrared sensor is utilized. Tests on the prototype were conducted under a variety of typical traffic circumstances. This study makes use of an IoT prototype that is designed to be connected to the internet network so that users can view real-time traffic data from a distance. Firebase and an Android app are two of the informational tools utilized in this study. The study's findings suggest that the prototype can function effectively. The applied infrared sensor can operate at optimal efficiency at 1 cm - 4,5 cm and can precisely identify vehicles.
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