FUZZY LOGIC APPLICATIONS IN INLAND WATERWAY TRANSPORTATION
Abstract
New applications of fuzzy expert system (FES) for direct control of traffic lights in the areas of locks and one-way sections on inland waterways is presented. FES implements the knowledge of experts in the field of water transport on a controller. FES-SL (application in ship locks) was created for a single-chamber two-way ship lock. The system decides when the lock process will be performed depending on the current requests and queues. FES-1WS (application in one-way sections) was created for a canal network with sections where one-way vessel traffic is allowed due to the width limitation. The system is applicable for different traffic densities (from 10 to 90 vessels per day) and different lengths of one-way sections (from 2km to 24km). Significant improvements have been shown compared to the classic traffic light control with a fixed duration of green and red lights.
References
Bugarski, V., Matić, D., Nikolić, P., Kamenko, I. (2012). Controlling ship lock with fuzzy expert system. Journal on Processing and Energy in Agriculture (former PTEP), 16 (4), 162-164.
Bugarski, V., Bačkalić, T., Kuzmanov, U. (2013). Fuzzy decision support system for ship lock control. Expert Systems with Applications, 40 (10), 3953-3960.
Bugarski, V. (2015). Ekspertski sistem za upravljanje brodskom prevodnicom zasnovan na računarskoj inteligenciji. Doktorska disertacija. Fakultet tehničkih nauka, Univerzitet u Novom Sadu, Srbija.
Bugarski, V., Bačkalić, T., Kanović, Ž., Kulić, F., Zeković, M. (2019). Fuzzy expert system for adaptive vessel traffic control on one-way section on navigable canal. Scientific Journal Transport Problems, 14 (4), 39-50.
Kanović, Ž., Bugarski, V., Bačkalić, T. (2014a). Ship Lock Control System Optimization using GA, PSO and ABC: A Comparative Review. PROMET – Traffic&Transportation, 26 (1), 23-31.
Kanović, Ž., Bugarski, V., Bačkalić, T., Jeličić, Z., Petković, Milena, Matić, D. (2014b). Optimization of ship lock control system using swarm-based techniques. Journal on Processing and Energy in Agriculture (former PTEP), 18 (1), 30-35.
Kanović, Ž., Bugarski, V., Bačkalić, T., Kulić, F. (2019). Application of Nature-Inspired Optimization Techniques in Vessel Traffic Control. Chapter in Shandilya, Shishir Kumar, Shandilya, Smita, Nagar, Atulya K (Eds.). “Advances in Nature-Inspired Computing and Applications”, Springer, 223-252.
