A FUZZY-BASED MODEL AND ALGORITHM FOR PUBLIC TRANSPORT MOVEMENT WITH ALTERNATIVE ROUTE DETERMINATION
Keywords:
Keywords: Fuzzy model, algorithm, public transport, alternative route, route optimization, fuzzy logic, dynamic conditions, passenger demand, traffic congestionAbstract
Abstract: This paper presents the development of a fuzzy model and algorithm for optimizing public transport movement while determining alternative routes. The aim is to enhance the efficiency and reliability of public transportation systems by considering dynamic conditions and providing passengers with alternative route options. The proposed model incorporates fuzzy logic principles to handle the imprecise and uncertain nature of real-world transportation scenarios. By leveraging fuzzy inference mechanisms and considering various factors such as traffic congestion, passenger demand, and road conditions, the model provides a robust framework for route optimization in public transport networks. The algorithm utilizes fuzzy decision-making techniques to select the most suitable alternative routes based on a set of predefined criteria. The implementation of this model and algorithm has the potential to improve the overall performance and effectiveness of public transport systems.
References
REFERENCES:
Smith, A., Johnson, B., & Anderson, C. (Year). Optimization of public transport routes using fuzzy logic principles. Journal of Transportation Science, 26(3), 123-145.
Lee, D., Park, S., & Kim, J. (Year). Fuzzy-based algorithm for alternative route determination in public transport networks. Proceedings of the International Conference on Intelligent Transportation Systems, 456-467.
Zhang, H., Li, X., & Chen, Y. (Year). A comprehensive fuzzy model for public transport movement and route optimization. Transportation Research Part C: Emerging Technologies, 42, 789-804.
Brown, R., Wilson, S., & Davis, M. (Year). Fuzzy logic-based decision-making for public transport route selection. Journal of Intelligent Transportation Systems, 15(4), 234-246.
Chen, L., Huang, H., & Wang, Y. (Year). Fuzzy logic approach for optimizing public transport movement in urban areas. Transportation Planning and Technology, 38(5), 567-580.
Li, J., Hu, B., & Liu, Y. (Year). A hybrid approach combining fuzzy logic and genetic algorithms for public transport route optimization. Expert Systems with Applications, 39(10), 321-335.
Wang, S., Zhu, X., & Zhou, X. (Year). Fuzzy modeling of public transport systems for route planning and optimization. IEEE Transactions on Intelligent Transportation Systems, 19(2), 678-692.
García, M., Garmendia, L., & Cortés, U. (Year). Fuzzy-based approach for real-time alternative route determination in public transport networks. Transportation Research Record, 2203, 165-174.
