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Issues Related to Transit Network Design Problem

by Mahmoud Owais
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 8
Year of Publication: 2015
Authors: Mahmoud Owais
10.5120/21250-4073

Mahmoud Owais . Issues Related to Transit Network Design Problem. International Journal of Computer Applications. 120, 8 ( June 2015), 40-45. DOI=10.5120/21250-4073

@article{ 10.5120/21250-4073,
author = { Mahmoud Owais },
title = { Issues Related to Transit Network Design Problem },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 8 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 40-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number8/21250-4073/ },
doi = { 10.5120/21250-4073 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:43.795662+05:30
%A Mahmoud Owais
%T Issues Related to Transit Network Design Problem
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 8
%P 40-45
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Public Transit (P. T) is very important means to reduce traffic congestions, to improve urban environmental conditions and consequently affects people social lives. Planning, designing and management of P. T are the key issues for offering a competitive mode that can compete with the private transportation. These transportation planning, designing and management issues are addressed in the Transit Network Design Problem (TNDP). It deals with a complete hierarchy of decision making process. It includes strategic, tactical and operational decisions. The main body of TNDP is two stages, namely; route design stage and frequency setting. The TNDP is extensively studied in the last five decades; however the research gate is still widely open due to its many practical and modeling challenges. In this paper, a comprehensive back-ground is given to illustrate the issues and challenges related to the TNDP to help in directing the incoming researches towards the untouched areas of the problem

References
  1. Ceder, A. and N. H. M. Wilson, Bus network design. Transportation Research, 1986. 20B(4): p. 331–344.
  2. Ceder, A. , Public transport scheduling. In Handbooks in Transport – Handbook 3: Transport Systems and Traffic Control. 2001: Elsevier Ltd.
  3. Ceder, A. , Urban transit scheduling: framework, review, and examples. ASCE Journal of Urban Planning and Development, 2002. 128(4): p. 225–244.
  4. Chakroborty, P. , Genetic Algorithms for Optimal Urban Transit Network Design. Computer – Aided Civil and Infrastructure Eng. Blackwell Publishing, Malden MA 02148, USA, 2003. 18: p. 184–200.
  5. NCHRP Synthesis of Highway Practice 69 (1980), Bus Route and Schedule Planning Guidelines, Transportation Research Board, National Research Council, Washington, D. C.
  6. Shih, M. -C. and H. Mahmassani, A design methodology for bus transit networks with coordinated operation, in SWUTC/94/60016-1, Center for Transportation, Bureau of Engineering Research. 1994, the University of Texas at Austin, Austin, Texas.
  7. Baaj, M. H. and H. Mahmassani, Hybrid Route Generation Heuristic Algorithm for the Design of Transit Networks. Transportation Research Part C: Emerging Technologies, 1995. 3(1): p. 31-50.
  8. Fan, W. , Optimal Transit Route Network Design Problem: Algorithms, Implementations, and Numerical Results. 2004, Graduate School of the University of Texas at Austin.
  9. dell'Olio, L. , A. Ibeas, and F. R. Díaz, Assigning vehicles types to a bus transit network. TRB 2009 Annual Meeting CD-ROM, 2008.
  10. Garey, M. R. and D. S. Johnson, Computers and intractability: A guide to the theory of np-completeness. W. H. Freeman, 1979: p. 5-1045.
  11. Baaj, M. H. , The Transit Network Design Problem: An AI-Based Approach, in Department of Civil Engineering, University of Texas, Austin, Texas. 1990.
  12. Zhao, F. and X. Zeng, Optimization of transit route network, vehicle headways and timetables for large-scale transit networks. European Journal of Operational Research, 2008. 186: p. 841–855.
  13. 13. YANG, H. , Y. IIDA, and T. SASAKI, AN ANALYSIS OF THE RELIABILITY OF AN ORIGIN-DESTINATION TRIP MATRIX ESTIMATED FROM TRAFFIC COUNTS. Transpn. Res. -B, 1991. 25(5): p. 351-363.
  14. YANG, H. and J. ZHOU, OPTIMAL TRAFFIC COUNTING LOCATIONS FOR ORIGIN-DESTINATION MATRIX ESTIMATION. Transpn Res. -B, 1998. 32(2): p. 109-126.
  15. Li, Y. and M. J. Cassidy, A generalized and efficient algorithm for estimating transit route ODs from passenger counts. Transportation Research Part B: Methodological, 2007. 41(1): p. 114-125.
  16. Hasselstrom, D. , Public Transportation Planning -- A Mathematical Programming Approach, Ph. D. thesis, Department of Business Administration, University of Gothenburg, Sweden. 1981.
  17. VanNes, R. , R. Hamerslag, and B. H. Immer, The Design of Public Transport Networks. Transportation Research Record, No. 1202, Transportation Research Board, Washington, D. C. , 1988. 74-83.
  18. Gan, A. and F. Zhao, Optimization of Transit Network to Minimize Transfers. Final Report, Research Office Florida Department of Transportation 605 Suwannee Street, MS 30 Tallahassee FL 32399-0450, 2003.
  19. Sheffi, Y. , Urban Transportation Networks Equilibrium Analysis with Mathematical Programming Methods. 1985, Inc. Englewood Cliffs, New Jersey. p. 1-20.
  20. Mauttonw, A. and M. Urquhart, A route set construction algorithm for the transit network design problem. Computers and Operations Research, 2009. 36(8): p. 2440-2449.
  21. Owais, M. and G. Moussa, A Novel Solution Methodology for Transit Route Network Design Problem. International Journal of Civil, Architectural Science and Engineering, 2014. 8(3): p. 658-665.
  22. Owais, M. , et al. , Simple and Effective Solution Methodology for Transit Network Design Problem. International Journal of Computer Applications, 2014. 89(14): p. 32-40.
  23. Owais, M. M. A. , Investigating Optimal Bus Routes Planning and Operation in Urban Areas. 2014, Assiut University, Faculty of Engineering, Civil Department.
  24. MM, O. , et al. , OPTIMAL CIRCULAR BUS ROUTES PLANNING FOR TRANSIT NETWORK DESIGN PROBLEM IN URBAN AREAS. Journal of Engineering Sciences, 2013. 41.
  25. Owais, M. , et al. , OPTIMAL FREQUENCY SETTING FOR CIRCULAR BUS ROUTES IN URBAN AREAS. Journal of Engineering Sciences, 2013. 41(5): p. 1796 - 1811.
  26. Chakroborty, P. , K. Deb, and R. K. Sharma, Networkwide optimal scheduling of urban transit networks using genetic algorithms. Transportation Planning and Technology, 2001. 24(3): p. 209–26.
  27. Dijkstra, E. W. , A Note on Two Problems in Connection with Graphs. Numeriche Mathematik, 1959. 1: p. 269-271.
  28. Yen, J. Y. , Finding the K Shortest Loopless Paths in a Network. Management Science, 1971. 7(11): p. 712-716.
  29. Laporte, G. , The Traveling Salesman Problem: An overview of exact and approximate algorithms. European Journal of Operational Research, 1992. 59: p. 231-247.
  30. Dorigo, M. , M. Birattari, and T. Stutzle, Ant Colony Optimization. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2006: p. 28-39.
  31. Miller, C. E. , A. W. Tucker, and R. A. Zemlin, Integer programming formulation of traveling salesman problems. Journal of ACM, 1960. 7: p. 326–9.
  32. Ceder, A. and S. Jerby, Optimal Routing Design for Shuttle Bus Service. Transportation Research Record: Journal of the Transportation Research Board, 2006: p. 14-22.
  33. Ceder, A. , Public Transit Planning and Operation. 2007: Elsevier Ltd.
  34. Lownes, N. E. and R. B. Machemehl, Exact and heuristic methods for public transit circulator design. Transportation Research Part B, 2010. 44(2): p. 309–318.
  35. Yu, B. , Z. Z. Yang, and B. Z. Yao, An improved ant colony optimization for vehicle routing problem. European Journal of Operational Research, 2009. 196(1): p. 171–176.
  36. Yu, et al. , An ant colony optimization model: the period vehicle routing problem with time windows. Transportation Research Part E, 2011. 47(2): p. 166–181.
  37. Nikolic, M. and D. Teodorovic, Transit network design by Bee Colony Optimization. Expert Systems with Applications, 2013. 40: p. 5945–5955.
  38. Lampkin, W. and P. D. Saalmans, The Design of Routes, Service Frequencies and Schedules for a Municipal Bus Undertaking: A Case Study. Operation Research Ouarterly, 1967. 18: p. 375-397.
  39. Baaj, M. H. and H. Mahmassani, An AI-Based Approach for Transit Route System Planning and Design. Journal of Advance Transportation, 1991. 25(2): p. 187-210.
  40. Szeto, W. Y. and Y. Wu, A simultaneous bus route design and frequency setting problem for Tin Shui Wai, Hong Kong. European Journal of Operational Research, 2011. 209(2): p. 141-155.
  41. Ceder, A. and Y. Israeli, User and Operator Perspectives in Transit Network Design. Journal of the Transportation Research Board, 2007. 1623: p. 3-7.
  42. Constantin, I. and M. Florian, Optimizing Frequencies in a Transit Network: a Nonlinear Bi?level Programming Approach. International Transactions in Operational Research, 1995. 2(2): p. 149-164.
  43. Mesbah, M. , et al. , Optimization of transit priority in the transportation network using a decomposition methodology. Transportation Research Part C: Emerging Technologies, 2011. 19(2): p. 363-373.
  44. Gao, Z. , H. Sun, and L. Shan, A Continuous Equilibrium Network Design Model and Algorithm for Transit Systems. Transportation Research Part B: Methodological, 2004. 38(3): p. 235-250.
  45. Chriqui, C. and P. Robillard, Common Bus Lines. Hautes Eludes Commercials, Montréal, Québec, Canada, Transportation, 1975. 9(2): p. 115–121.
  46. Marguier, P. and A. Ceder, Passenger Waiting Strategies for Overlapping Bus Routes. Massachusetts Institute of Technology, Cambridge, Massachusetts, Transportation Science, 1984. 18(3): p. 207-230.
  47. Hadas, Y. and M. Shnaiderman, Public-transit frequency setting using minimum-cost approach with stochastic demand and travel time. Transportation Research Part B: Methodological, 2012. 46(8): p. 1068-1084.
  48. Guihaire, V. and J. -K. Hao, Transit network design and scheduling: A global review. Transportation Research Part A, 2008. 42: p. 1251–1273.
  49. Spiess, H. , On optimal route choice strategies in transit networks. Publication 285, Centre de Recherche sur les Transports, Université de Montréal, 1983.
  50. Cea, J. D. and E. Fernandez, Transit assignment for congested public transport system: An equilibrium model. Transportation Science, 1993. 27(133–147).
  51. Zhao, F. , Large-scale transit network optimization by minimizing transfers and user cost. Journal of Public Transportation, 2006. 9(2): p. 107–129.
Index Terms

Computer Science
Information Sciences

Keywords

Transit Planning – Network Design – Frequency setting – Urban Planning.

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