ABSTRACT
This research paper presents a novel approach to traffic signal control using discrete logic and finite state machines (FSM). The primary objective is to develop an efficient and reliable system for managing traffic at intersections, aiming to minimize congestion and optimize traffic flow. The proposed system employs a discrete logic-based controller, designed to transition between various states based on real-time traffic conditions, such as vehicle count and pedestrian presence. The finite state machine model is used to represent the traffic signal cycles, incorporating multiple states (e.g., red, yellow, and green) and transitions triggered by specific input signals. We evaluate the performance of the proposed system using a simulation model, comparing its efficiency with traditional time-based traffic signal control. Results show that the discrete logic and FSM-based system offers improved adaptability to varying traffic patterns, reduces waiting times for vehicles and pedestrians, and enhances overall intersection throughput. This research demonstrates the potential for using FSM and discrete logic in the development of more intelligent and dynamic traffic signal systems, contributing to the broader goal of smart city infrastructure.
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