KSCE Journal of Civil and Environmental Engineering Research (대한토목학회논문집)

Korean Society of Civil Engeneers (대한토목학회)
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Development of Lane-changing Model for Two-Lane Freeway Traffic Based on CA

Cellular Automata 기반 2차로 고속도로 차로변경모형 개발

  • 윤병조 (시립인천전문대학 토목과)
  • Received : 2008.07.23
  • Accepted : 2008.12.29
  • Published : 2009.05.31
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Abstract

The various behaviors of vehicular traffic flow are generated through both car-following and lane-changing behaviors of vehicles. Especially lane-usage varies by lane-changing behaviors. In the area of microscopic vehicle simulation, a lane-changing model connected to a car-following model parallel is essential to generate both various traffic flows relationships and laneusages. In Korea, some studies on car-following models have been reported, but few studies for lane-changing models stay in the beginning stage. In this paper, a two-lane changing model for the simulation modeling of large freeway network is introduced. The lane-changing model is developed based on CA (Cellular Automata) model. The developed model is parallel combined with an existing CA car-following model and tested on a closed link system. The results of simulation show that the developed model generates the various behaviors of lane usage, which existing CA lane-changing models could not generate. The presented model is expected to be used for the simulation of more various freeway traffic flows.

차량들의 차량추종과 차로변경에 행태에 의해 차량 교통류는 다양한 형태를 보이게 되며, 차로변경의 행태에 따라 차로이용률은 매우 다양하게 나타난다. 따라서 미시적 차량 모의실험을 이용하여 다양한 교통류를 설명하기 위해서는 차량추종과 더불어 다양한 차로이용 행태를 구현하는 차로변경 모형이 필수적이다. 국내의 경우 차량추종모형에 대한 연구는 보고되고 있으나 차로변경모형에 대한 연구는 미흡한 실정이다. 따라서 본 연구에서는 대규모 고속도로망 모의실험에 적합한 CA(Cellular Automata)모형을 기반으로 미시적 2차로 차로변경모형을 개발하였다. 개발된 모형을 기존의 CA 차량추종모형과 결합하여 모의실험을 수행한 결과, 다양한 차로이용률 행태를 설명하는 것으로 분석되었다. 개발된 차로변경모형은 보다 다양한 고속도로 교통류의 모의실험에 활용될 것으로 기대된다.

Keywords

References

  1. 노정현(2001) CA모형을 이용한 고속도로 돌발상황 영향 분석 교통 시뮬레이션 모형 개발, 대한교통학회지, 대한교통학회, 통권 58호.
  2. 장현호(2003) CA모형을 이용한 단기 구간통행시간 예측에 관한 연구, 대한교통학회지, 대한교통학회, 통권 66호.
  3. 장현호(2004) 다양한 연속 교통류 구현을 위한 확률파장전파모형의 개발, 대한교통학회지, 대한교통학회, 통권 75호.
  4. 조중래(2001) CA모형을 이용한 미시적교통류 시뮬레이션 시스템 개발에 관한 연구, 대한교통학회지, 대한교통학회, 통권 55호.
  5. Barlovic, R., Santen, L., Schadschneider, A., and Schreckenberg, M. (1997) Meta-stable States in CA Models for Traffic Flow, Traffic and Granular Flow '97, Springer, pp. 335-340.
  6. Beckman, R.J. et al. (1997) TRANSIMS Dallas/Fort Worth Case Study Report. Los Alamos Unclassified Report LA-UR to be released, Los Alamos National Laboratory, TSA-Division, Los Alamos NM 87545, USA.
  7. Chang, H., Baek, S., Kim, H., Shah, A.A., Lee, J.D., and Mahalik, N.P. (2007) Development of distributed real-time decision support system for traffic management centers using microscopic CA model. Iranian Journal of Science & Technology, Transaction B, Engineering, Vol. 31, No. B2, pp. 155-166.
  8. Chang, H., Baek, S., Namkoong, J., and Yoon, B. (2005) Some findings of CA models to generate various freeway traffic flows with additional rules. Journal of EASTS, Vol. 6, pp. 1368-1381.
  9. Chopard, B., Dupuis, A. and Luthi, P. (1997) A Cellular Automata Model for Urban Traffic and its Application to the City of Geneva, Traffic and Granular Flow '97, Springer, pp. 153-168.
  10. Edie, L.C. and Foote, R.S. (1961) Experiments on single lane traffic flow in tunnels, Theory of Traffic Flow Proceedings, pp. 175-192.
  11. Kerner, B.S. (1999) Phase Transitions in Traffic Flow, Traffic and Granular Flow '99, Springer, pp. 253-283.
  12. Koshi, M., Iwasaki, M., and Ohkura, I. (1981), Some findings and an overview on vehicular flow characteristics, Proceedings of the Eight International Symposium on Transportation and Traffic Flow Theory, pp. 403-426.
  13. Krauss, S. (1997) Microscopic Traffic Simulation: Robustness of a Simple Approach, Traffic and Granular Flow '97, Springer, pp. 269-283.
  14. Nagel, K. (1996) Particle hopping models and traffic flow theory, Physical Review E. Copyright by The American Physical Society.
  15. Nagel, K. and Schreckenberg, M. (1992) A Cellular automaton model for freeway traffic. Journal of Physics I, Vol. 2, pp. 2221-2229.
  16. Nagel, K., Stretz, P., Pieck, M., Leckey, S., and Donnelly, R., and Barrett, C.L. (1999) TRANSIMS Traffic Flow Characteristics.
  17. Rickert, M., Nagel, K., Schreckenberg, M., and Latour, A. (1996) Two lane traffic simulations using cellular automata. Physica A, Vol. 231, pp. 534-550. https://doi.org/10.1016/0378-4371(95)00442-4
  18. Schadschneider, A. and Schreckenberg, M. (1997) Traffic models with ‘slow-to-start' rules. Ann. Physik, Vol. 6, p. 541.
  19. Schreckenberg, M. (2002) Simulation of the Autobahn Traffic in North Rhine-West phalia. International Symposium on Transport Simulation, pp. 193-200.
  20. Tadaki, S., Nishiari, K., Kikuchi, M., Sugiyama, Y. and Yukawa, S. (2002) Analysis of congested flow at Upper stream of a tunnel. Physica A, Vol. 315. pp. 156-162. https://doi.org/10.1016/S0378-4371(02)01235-9
  21. Takayasu, M. and Takayasu, H. (1993) Phase transition and 1/f type noise in one dimensional asymmetric particle dynamics. Fractals, Vol. 1, No. 4, pp. 860-866.A. https://doi.org/10.1142/S0218348X93000885
  22. Wagner, P., Nagel, K., and Wolf, D.E. (1997) Realistic multi-lane traffic rules for cellular automata. Physica A, Vol. 234, pp. 687-698. https://doi.org/10.1016/S0378-4371(96)00308-1