Neuro-Fuzzy control of converging vehicles for automated transportation systems

뉴로퍼지를 이용한 자율운송시스템의 차량합류제어

  • Ryu, Se-Hui (Dept. of Mechanical Engineering, Hanyang University) ;
  • Park, Jang-Hyeon (Dept. of Mechanical Engineering, Hanyang University)
  • Published : 1999.11.01


For an automated transportation system like PRT(Personal Rapid Transit) system or IVHS, an efficient vehicle-merging algorithm is required for smooth operation of the network. For management of merging, collision avoidance between vehicles, ride comfort, and the effect on traffic should be considered. This paper proposes an unmanned vehicle-merging algorithm that consists of two procedures. First, a longitudinal control algorithm is designed to keep a safe headway between vehicles in a single lane. Secondly, 'vacant slot and ghost vehicle' concept is introduced and a decision algorithm is designed to determine the sequence of vehicles entering a converging section considering energy consumption, ride comfort, and total traffic flow. The sequencing algorithm is based on fuzzy rules and the membership functions are determined first by an intuitive method and then trained by a learning method using a neural network. The vehicle-merging algorithm is shown to be effective through simulations based on a PRT model.


  1. Transit System Theory J E. Anderson
  2. Fundamentals of Personal Rapid Transit J. H. Irving
  3. IEEE Trans. Vehicular Tech v.42 no.4 Implementation trade-offs for a short-headway vehicle-follower automated transit system A. J Puc
  4. IEEE Trans. Veh. Tech. v.VT-28 A headway safety policy for automated highway operations R. E. Fenton
  5. Computerized defensive driving rules for highway maneuvers T. Pilutti;U. Reschke;Y Koren
  6. IEEE Trans. Vehicular Tech. v.VT-28 no.1 A state-constrained vehicle follower approach to the station-egress problem H. Y. Chiu
  7. 대한기계학회 춘계 학술대회논문집 퍼지 논리를 이용한 PRT 시스템의 차량 합류 알고리듬 개발 이세영
  8. Neuro-Fuzzy Modeling and Control J.-S. R. Jang;C.-T. Sun
  9. Longitudinal control of a platoon vehicles S. Sheikholeslam;C. A. Desoer