대한교통학회지 (Journal of Korean Society of Transportation)

  • 제27권5호
  • /
  • Pages.195-208
  • /
  • 2009
  • /
  • 1229-1366(pISSN)
  • /
  • 2234-4217(eISSN)
대한교통학회 (Korean Society of Transportation)
권호 표지

목표기반 교통계획모형 연구

A Goal-Based Transportation Planning Model

  • 투고 : 2009.05.30
  • 심사 : 2009.08.19
  • 발행 : 2009.10.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

일반적으로 교통망 설계문제는 특정 목적함수를 최소 또는 최대화시키는 도로의 용량이나 대중교통망 노선과 같은 교통망의 속성 값을 구하는 문제이다. 이는 수리적인 모형으로 표현되며, 수학적으로 해결 가능한 문제로 구성되기 위해 실제 교통망에서 발생하는 복잡한 현상들을 최대한 단순화하여 고려하게 된다. 이에 따라 통행수요의 근본적인 동기가 되는 활동수요의 발생과정을 고려하지 못하고, 교통패턴에 큰 영향을 미치는 요인 중 하나인 지역계획 측면의 속성변화를 분석의 틀에 포함시킬 수 없다는 한계가 있다. 본 연구에서는 이러한 한계를 극복하고자 교통망 설계문제를 도시계획 (Urban planning) 범위로 확장한다. 즉, 토지이용 계획과 같은 교통망 계획의 상위에 위치한 계획 속성을 변경했을 때 도시 내의 활동 및 교통 패턴이 어떻게 변화하는지를 모형을 통해 예측하고, 이를 기반으로 도시의 지역 및 교통시스템을 최적화시키는 모형을 제시한다. 본 연구에서 개발된 모형을 실제크기의 지역교통망에 적용해 모형의 실제 적용가능성을 실험하였다.

A network design problem (NDP) formulated as a mathematical program is generally used to find an optimum value to minimize or to maximize some objectives such as total travel time, social benefit, or others. NDP has, however, some limits of describing components of travel patterns like activities and trip generation due to its modeling simplicity, and also it has difficulty in including attributes of regional planning. In order to cope with such limits, this paper extends NDP to the urban planning field and proposes a mathematical program which can describe the interactions between urban social activities and transportation planning. Based on this model the authors try to optimize both urban activities and the transportation system. The model developed in this paper is tested to assess its application with a real-size regional transportation network.

키워드

참고문헌

  1. Abdulaal M. and L. J. LeBlanc (1979), 'Continuous equilibrium network design problem', Transportation Research Part 13B (1), pp.19-32 https://doi.org/10.1016/0191-2615(79)90004-3
  2. Boyce D. E. and B. N. Janson (1980), 'A discrete transportation network design problem with combined trip distribution and assignment', Transportation Research 14B (1-2), pp.147-154 https://doi.org/10.1016/0191-2615(80)90040-5
  3. Chen M. and A. S. Alfa (1991), 'A network design algorithm using a stochastic incremental traffic assignment approach', Transportation Science 25 (3), pp.215-224 https://doi.org/10.1287/trsc.25.3.215
  4. Clegg J., M. Smith, Y. Xiang and R. Yarrow (2001), 'Bilevel programming applied to optimizing urban transportation', Transportation Research Part 35B (1), pp.41-70 https://doi.org/10.1016/S0191-2615(00)00018-7
  5. Dial R. B. (1999), 'Minimal-revenue congestion pricing part I: A fast algorithm for the singleorigin case', Transportation Research Part 33B (3), pp.189-202 https://doi.org/10.1016/S0191-2615(98)00026-5
  6. Ferrari P. (1999), 'A model of urban transport management', Transportation Research Part 33B (1), pp.43-61 https://doi.org/10.1016/S0191-2615(98)00027-7
  7. Ferrari P. (2002), 'Road network toll pricing and social welfare', Transportation Research Part 36B (5), pp.471-483 https://doi.org/10.1016/S0191-2615(01)00016-9
  8. R. Jayakrishnan, W. K. Tsai and A. Chen (1995), 'A dynamic traffic assignment model with traffic-flow relationship', Transportation Research Part 8C (3), pp.51-72 https://doi.org/10.1016/0968-090X(94)00015-W
  9. Jose H-V (1995), 'Comparative Assessment of AHP and MAV in Highway Planning: CASE STDUY', Journal of Transportation Engineering, 121(2), pp.191-200 https://doi.org/10.1061/(ASCE)0733-947X(1995)121:2(191)
  10. Kim H. (2008), 'New dynamic travel demand modeling methods in advanced data collecting environments', Ph.D. dissertation, University of California, Irvine
  11. Kim H-K, H. Kim, M. G. McNally (2006) A household activity scheduling model incorporating a task allocation process with week-based learning mechanisms, 11th International Conferenceon Travel Behavior Research, Kyoto, Aug16-20
  12. Lo H. K. and W. Y. Szeto (2009), 'Time-dependent transportation network design under cost-recovery', Transportation Research Part 43B (1), pp.142-158 https://doi.org/10.1016/j.trb.2008.06.005
  13. Meng Q. and H. Yang (2002), 'Benefit distribution and equity in road network design', Transportation Research Part 36B (1), pp.19-35 https://doi.org/10.1016/S0191-2615(00)00036-9
  14. Patriksson M. (2008), 'On the applicability and solution of bilevel optimization models in transportation science: A study on the existence, stability and computation of optimal solutions to stochastic mathematical programs with equilibrium constraints', Transportation Research Part 42B (10), pp.843-860 https://doi.org/10.1016/j.trb.2008.05.001
  15. Poorzahedy H. and M. Turnquist (1982), 'Approximate algorithms for the discrete network design problem', Transportation Research Part 16B (1), pp.45-55 https://doi.org/10.1016/0191-2615(82)90040-6
  16. Saaty and Vargas (1980), 'The Logic of Priorities: Application in Business, Energy, Health, and Transportation', Kluwer/Nijhoff Publishing
  17. Suwansirikul C., Friesz T. L. and R. L. Tobin (1987), 'Equilibrium decomposed optimization: A heuristic for the continuous equilibrium network design problem', Transportation Science 21 (4), pp.254-263 https://doi.org/10.1287/trsc.21.4.254
  18. Tobin R. L. and T. L. Friesz (1988), 'Sensitivity analysis for equilibrium network flow', Transportation Science 22 (4), pp.242-250 https://doi.org/10.1287/trsc.22.4.242
  19. Tudela A., N. Akiki, and R. Cisternas (2006), 'Comparing the Output of Cost Benefit and Multi-Criteria Analysis an Application to Urban Transport Investments', Transportation Part 40A (5), p 414-423 https://doi.org/10.1016/j.tra.2005.08.002
  20. Yang C. (2008), 'Developing decision-making process for prioritizing potential alternatives of truck management strategies', Ph.D. dissertation, University of California, Irvine
  21. Yang H. (1996), 'Sensitivity analysis for the elastic-demand network equilibrium problem with applications', Transportation Research Part 31B (1), pp.55-69 https://doi.org/10.1016/S0191-2615(96)00015-X
  22. Yang H. and M. G. H. Bell (1998), 'Models and algorithms for road network design: a review and some new developments', Transport Reviews, 18(3), pp.257-278 https://doi.org/10.1080/01441649808717016
  23. Yedla S. and R. M. Shrestha (2003), 'Multi-Criteria Approach for the Selection of Alternative Options for Environmentally Sustainable Transport System in Delhi', Transportation Research Part 37A (8), pp.717-729 https://doi.org/10.1016/S0965-8564(03)00027-2
  24. Zhang X. and H. Yang (2004), 'The optimal cordon-based network congestion pricing problem', Transportation Research Part 38B (6), pp.517-537 https://doi.org/10.1016/j.trb.2003.08.001
  25. Ziyou G. and S. Yifan (2002), 'A reserve capacity model of optimal signal control with user-equilibrium route choice', Transportation Research Part 36B (4), pp.313-323 https://doi.org/10.1016/S0191-2615(01)00005-4