Development of Vehicle Detection for One-Way Traffic Violation Based on Internet of Things

Traffic violations in the campus area continue to increase. This violation against the direction by motorcyclists can endanger other riders and the perpetrator because it can lead to accidents. Therefore, we developed a Vehicle Detection Device Against Traffic Direction with the Maxsonar-EZ3 MB1030 Ultrasonic Sensor Based on Internet Of Things (IoT). This prototype uses two sensor nodes to transmit vehicle violation data against the direction. LoRa Shield with a radio signal frequency of 915 MHz is used to transmit data resulting from violations over a considerable distance. LoRa \ GPS Shield as a node to determine the coordinates of the location where the breach occurred. The reading and sending patterns of sensors are processed using the Arduino Uno Microcontroller and the results are displayed on the webserver page. This system uses The Things Network as a database of all data resulting from violations against the direction of motorbikes. The scenario in testing this device is to send violation data as well as the location and time of the accident. In this test, an average of 99.6% was reached in the accuracy of a GPS sending location coordinates. Then, testing in varying distances of transmission to test how faraway the data can be sent to the gateway. In this test scenario, it is carried out 100 times with different ranges. The results obtained are data sent excellently to a distance of almost 1 KM, with an average delay of 3 second.