IoT based Vehicle Monitoring System for Safety Standards in Smart Cities

The rapid urbanization and increasing number of vehicles in smart cities have increased the importance of ensuring road safety. This model proposes the development and implementation of an Internet of Things (IoT)-based vehicle monitoring system to increase the safety standards in smart city environments. Leveraging cutting-edge technology, the system continuously monitors and evaluates on-road vehicle behavior in real-time, providing essential data for traffic management and accident prevention. By integrating a variety of in-car sensors and communication devices, the proposed system collects and transmits data to a centralized server, including information on the vehicle's position, speed, acceleration, and braking patterns. This data enables the detection of potentially hazardous situations, such as aberrant driving patterns and traffic congestion. The IoT-based Vehicle Monitoring System not only monitors individual vehicle behavior but also facilitates communication between vehicles and infrastructure, fostering a cooperative traffic ecosystem. With the incorporation of advanced analytics algorithms, the proposed system can identify factors affecting road safety and enhance its prediction capabilities over time. By harnessing technologies like Artificial Intelligence (AI) and Machine Learning (ML), the proposed system continuously evolves to address evolving safety challenges. The ultimate goal of this study is to contribute to the development of smarter and safer cities by proactively addressing safety and traffic management concerns, thereby reducing traffic congestion, accidents, and creating a more secure urban transportation network.