A Microscopic Traffic Simulation Model for Urban Network Performance Evaluation

도시 가로망시설 운영효율평가를 위한 모의실험 모형개발

  • Published : 1995.02.01

Abstract

The purpose of this paper is to develop a microscopic traffic simulation model which is able to both analyze and the evaluate signlaized urban network and to verify its usefulness in comparison with the other model which has alfeady been released. This simulation model adopts the General Motor's 5th model for car-following and introduces an unique lanechanging rule using acceptable gap. It analyzes single and dual-ring signal phases and generates detector information . So it could be applied to dynamic route guidance systems as wel as real time signal control systems. The results derived from Netsim and the observed data from the real network have been used to test the validit of the proposed model. The result of the test has shown that there are no significant differences between the NETSIM model and the proposed model in estimating travel speed and stopped delay. In optimum offset estimatin , it has shown the same results with NETSIM. the measure of effectiveness , however, derived from this model is slightly better than that of the real network situation. This may be due to the fact that the proposed model does not take into account side frictions from interferences and obstacles.

Keywords

References

  1. 시스템 시뮬레이션 이영해;백두권
  2. 교통신호제어시스템 기술개발 도로교통안전협회
  3. 교통신호제어시스템 기술개발 교통개발연구원
  4. 교통신호제어시스템 기술개발, 시뮬레이터 개발보고서 교통개발연구원
  5. 도로용량 편람 건설부
  6. A Model for the Structure of Lane-Changing Decisions P.G.Gipps
  7. TRAF-NETSIM User's Manual Center for Microcomputers in Transporation McTrans
  8. Traffic Flow Fundamentals Adolf D. May
  9. Transportation Research Board 71th Annual Meeting Real-Time Network Traffic Simulation Methodology with a Massively Parallel Computing Architecture Tranavat Junchaya;Gang-Leng Chang;Alberto Santiago
  10. Transportation Research Board 71th Annual Meeting A Car-Following Model Based on Fuzzy Inference System Shinya Kikuchi;Partha Chakroborty
  11. Final Report Volume 4 Linear Network Traffic Control System Simulator, Japan Application of AI technologies to Traffic Control Phase-2, Local Controler Definition and Specification Fukuyama Consultants International Co. Ltd.
  12. Urban Network Traffic Simulation: TRAF-NETSIM Program Ajay K. Rathi;Alberto J. Santiago
  13. Transportation Research Record 1194 CARSIM : Car-Following Model for Simulation of Traffic in Normal and Stop-and Go Conditions R.F.Benekohal;Joseph Treiterer
  14. Traffic Flow Theory, TRB special report 165 Daniel L. Gerlough;Matthew J. Huber