top
Articles
  • A tool for the design of public transportation services   [MASS 2012]
  • Author(s)
  • Esteve Codina, ´ Angel Mar´ın, L´ıdia Montero
  • ABSTRACT
  • In this paper a model is described in order to determine the number of lines of a public transportation service, the layout of their lines amongst a set of candidates, their service capacity, and the resulting assignment of passengers to these facilities so as to minimize the total costs of the system. The model takes into account the delays for passengers that queue at the stations reflecting congestion effects of the transport service system and also, the abandonment of waiting queues at stations by passengers. Passengers are assumed to choose the lines they ride on by selecting the most convenient service line following a user equilibrium formulation.
  • KEYWORDS
  • Public transportation services, network design.
  • References
  • [1]
    E. Codina, A. Mar´ın, Link restoration for rapid transit network incidences. Preprints of the XXIII EURO Conference, Bonn, Germany (2009)
    [2]
    R. Cominetti and J. Correa, Common-lines and passenger assignment in congested transit networks, Transportation Science 35 (3) (2001) 250- 267.
    [3]
    R. Dial (1967) Transit pathfinder algorithm. Transportation Research Board Publication No 205, pp 67-85.
    [4]
    P.T. Harker (1988) "Accelerating the convergence of the diagonalization a nd projection algorithms for finite-dimensional variational inequalities". Mathematical Programming 41 pp 29-59.
    [5]
    D.B. Hess, J. Brown and D. Shoup. Waiting for the bus. Transportation Research Board 2003 Annual Meeting. CD-ROM.
    [6]
    T. Haupt, K. Nkel and U. Reiter (2009) Schedule based dynamic tran- sit assignment. In Schedule-based modeling of transportaion networks, N.H.M. Wilson, A. Nuzzolo Ed. Springer.
    [7]
    F. Kurauchi, M.G.H. Bell, J-D. Schmcker (2003) Capacity constrained transit assignment with common lines. Journal of Mathematical modelling and algorithms 2, 309-327.
    [8]
    N. Ohmori et al. Passengers’ Waiting behaviour at bus stops. Proceedings of the 6th International Conference of Traffic and Transportation Studies (2008). DOI
    http://dx.doi.org/10.1061/40995(322)48
    [9]
    Noriega Y. y M. Florian (2003) L’optimisation des frquences d’un rseau de transport en commun moyennement congestionn. INFOR vol 41, no 2. 129-153.
    [10]
    Papola N., F. Filippi, G.Gentile and L.Meschini (2009) Schedule based transit assignment: new dynamic equilibrium model with vehicle capac- ity constraints. In Schedule-based modeling of transportation networks, N.H.M. Wilson, A. Nuzzolo Ed. Springer.
    [11]
    H. Spiess and M. Florian, Optimal strategies: a new assignment model for transit networks, Transportation Research Part B 23 (2) (1989) 83-102

Engineering Information Institute is the member of/source content provider to

http://www.scirp.org http://www.hanspub.org/ http://www.crossref.org/index.html http://www.oalib.com/ http://www.ebscohost.com/ http://www.proquest.co.uk/en-UK/aboutus/default.shtml http://ip-science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&Full=journal%20of%20Bioequivalence%20%26%20Bioavailability http://publishers.indexcopernicus.com/index.php