Fuzzy Logic-Based GPS Bus Tracking System for Enhanced Arrival Time Prediction

Abstract

In urban transportation, predicting precise bus arrival times is crucial for both passenger satisfaction and system optimization. This research introduces an innovative methodology within a GPS-based bus tracking system, harnessing the power of fuzzy logic to address inherent uncertainties in transit operations. The approach intricately incorporates membership functions, fuzzy rules, and inference mechanisms to enhance the accuracy of bus arrival time predictions. Through rigorous empirical evaluation, the system showcases its effectiveness in navigating the complexities of urban transit, offering improved precision in predicting bus arrival times. This contribution to the transportation engineering domain emphasizes the significant potential of fuzzy logic in elevating the efficiency of public transportation operations and enhancing the overall passenger experience. The findings underscore the practical application of fuzzy logic in tackling real-world uncertainties, marking a notable advancement in the realm of urban transit planning and management.