Integrating Smart Technologies for Enhanced Traffic Management and Road Safety: A Data-Driven Approach
Authors :- Srinivas C.M.V.; Jaglan S.; Savitha H.S.; Ghamande M.V.; Trivedi P.U.; Ramakrishnan R.
Publication :- Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023
This research study reports the results of an extensive study into the use of smart technology to improve road safety and usher in a new era of traffic management. The research intends to address multiple pressing issues by integrating cutting-edge systems like smart radar monitoring with external databases and data analysis methods. The creation of a centralized traffic monitoring system is a significant result of this study. It is essential for efficient traffic management, and this system uses complex algorithms to reliably detect and monitor several lanes, including emergency lanes. It also uses pedestrian detection techniques to make pedestrian crossings safer and more efficient. Data-driven insights from a variety of sources are emphasized throughout the study as well. The technology is able to optimize safety during inclement weather by evaluating weather trends and adjusting traffic management techniques accordingly. Anti-vandalism detection methods also aid in spotting and halting the kinds of mischief that can otherwise undermine the efficiency of traffic control infrastructure. The study also suggests using automated systems to monitor traffic and ticket offenders. This preventative measure not only aids in lowering the frequency of violations, but also discourages would-be violators. To improve traffic management, decrease traffic violations, and increase road safety, the authors of this study provide a complete framework that makes use of smart technology and data analytic methods. Road safety and efficiency could be greatly improved by the implementation of these cutting-edge systems.