Fuzzy Logic System for Determining the Number of Workers on Toll Gates on Highways

Variability of traffic flows is characteristic of many highways in the world. On the other hand, the number of engaged workers at the toll gates is often constant over time. In spite of the fact that electronic toll collection is trendy, many countries still have manual toll collection systems on their highways. For manual toll collection systems a constant number of workers results in insufficient workers utilization in conditions of small traffic flow values, and the appearance of long vehicle queues in front of toll gates during peak hours. In this paper, the model for dynamic control of the number of engaged workers is developed with the objective to determine the optimal number of workers over time. Fuzzy logic and queuing theory represent the backbone for development of the model. The system of toll gates is observed as a queuing system in which incoming vehicles represent clients and workers represent servers. The number of servers, i.e. the number of engaged workers is a variable that is determined by using fuzzy logic and taking into account the queue length. The model is developed in Simulink and tested on many real numerical data. Data collected from toll gates in Bubanj Potok are used for the development and evaluation of the model. The simulation results show that the number of engaged workers must be coordinated with current traffic demands. In this way a considerable decrease of the number of engaged workers can be obtained, comparing it to existing conditions on toll gates in Bubanj Potok. Consequently, this leads to the reduction of system costs. On the other hand, the level of service of the system is almost the same as in the case of engaging an unnecessary number of workers.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: pp 561-568
  • Monograph Title: Proceedings of First International Conference on Traffic and Transport Engineering (ICTTE)

Subject/Index Terms

Filing Info

  • Accession Number: 01598469
  • Record Type: Publication
  • ISBN: 9788691615307
  • Files: TRIS
  • Created Date: Apr 25 2016 6:04PM