<![CDATA[Neighborhood roads are a form of transportation infrastructure frequently used by residents in residential areas; however, limitations in the monitoring system make it difficult to accurately track vehicle speed and traffic volume, potentially leading to accidents caused by vehicles exceeding the posted speed limit. Therefore, this study aims to design and build a prototype system for monitoring vehicle speed and count using an IoT-based photo beam sensor. The system is designed using a photo beam sensor to detect vehicle paths, an ESP32 as the main controller, an LCD for local monitoring, and a spreadsheet as a medium for remote data storage. The system is capable of calculating vehicle speed based on the time difference between two sensor points spaced 2.5 meters apart, distinguishing between vehicles entering and exiting, and categorizing vehicle speeds as either within the normal range or exceeding the limit, in accordance with Ministry of Transportation Regulation No. 111 of 2015. Test results show that the system operates in accordance with its design logic, demonstrating good accuracy in detecting speed and counting vehicles based on tests conducted on 500 vehicle data points. Additionally, the feature for automatic, real-time data recording in the spreadsheet functioned effectively, thereby facilitating traffic monitoring and evaluation. Based on these test results, the designed prototype successfully performed the functions of automatically monitoring, recording, and classifying vehicle speeds on local roads.]]>
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