Traffic Management System With Symbolic Discrete Controller Synthesis Technique

In contemporary urban environments, the growing utilization of vehicles has emerged sophisticated challenges. Notably, degradation in air quality and amplified fuel consumption are the most issues that are being faced in urban cities due to traffic-related disruptions. Addressing these challenges is necessary to concern the adverse impacts on public health and economic aspects. This paper presents a comprehensive Traffic Management System employing the Symbolic Discrete Controller Synthesis Technique, offering a paradigm shift in urban traffic control. Our approach synthesizes effective controllers to reduce congestion and enhance system reliability by benefitting formal control frameworks and advanced modeling techniques. The key features of the approach include a symbolic safety algorithm to ensure compliance with regulations, an optimization algorithm to minimize congestion costs. Simulations across various scenarios validate the efficacy and robustness of our framework and also it suggests its potential to significantly improve urban mobility. The research directions may explore scalability and real-time data integration for broader applicability, however, our work lays a foundation for integrated traffic management systems combining formal control techniques, safety algorithms, and optimization strategies.