Efficient and secure transportation systems are crucial for the development of smart cities. This chapter introduces Total Road Control (TRC), a software solution by COM-IoT Technologies that revolutionizes road monitoring and management. TRC utilizes LiDAR sensors for high-precision data collection and convolutional neural network (CNN) models for comprehensive data analysis, enhancing road safety, traffic flow, and urban planning. LiDAR sensors in TRC provide unparalleled accuracy in diverse environmental conditions, ensuring complete and precise road data acquisition. CNN models facilitate vehicle detection, tracking, counting, and classification, offering real-time traffic insights. TRC’s advanced features include vehicle speed measurement and nuanced classification into categories such as cars, trucks, buses, and motorcycles, with specific subclassifications for trucks based on weight. TRC also measures vehicle dimensions, aiding in road planning and infrastructure development. By analyzing vehicle distances, TRC enhances road safety by detecting tailgating incidents and near-miss scenarios, mitigating collision risks. Additionally, TRC serves as a predictive tool for accident prevention, identifying high-risk areas and underlying factors contributing to road incidents and empowering authorities to implement targeted safety interventions.