Scheduling of Traffic Entities Under Reduced Traffic Flow by Means of Fuzzy Logic Control

  • Zdenko Kljaić Ericsson Nikola Tesla d.d.
  • Danijel Pavković University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture
  • Tomislav Josip Mlinarić University of Zagreb, Faculty of Transport and Traffic Sciences
  • Mladen Nikšić University of Zagreb, Faculty of Transport and Traffic Sciences
Keywords: fuzzy logic, simulation, railway traffic, scheduling, logistics, stochastic traffic flow.


This paper presents the design of a fuzzy logic-based traffic scheduling algorithm aimed at reducing traffic congestion for the case of partial obstruction of a bidirectional traffic lane. Such a problem is typically encountered in rail traffic and personal rapid transportation systems with predefined and fixed traffic corridors. The proposed proportional-derivative (PD) fuzzy control algorithm, serving as a traffic control automaton, alternately assigns adaptive green light periods to traffic coming from each direction. The proposed fuzzy logic-based traffic controller has been compared with the conventional traffic control automaton featuring fixed-durations of green light intervals. The comparison has been carried out within a simulation environment for four different probability distributions of stochastic traffic flows at each end of the considered traffic corridor. Results have shown that the proposed fuzzy logic-based traffic controller performance is far superior to that of the conventional traffic control law in terms of achieving shorter vehicle queue lengths and less disparity in queue lengths for all considered simulation scenarios.


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How to Cite
Kljaić Z, Pavković D, Mlinarić TJ, Nikšić M. Scheduling of Traffic Entities Under Reduced Traffic Flow by Means of Fuzzy Logic Control. Promet [Internet]. 2021Aug.5 [cited 2024May23];33(4):621-32. Available from: