On-Line Timetable Rescheduling in a Transit Line

Published Online:https://doi.org/10.1287/trsc.2017.0807

References

  • Burdett R, Kozan E (2009) Techniques for inserting additional trains into existing timetables. Transportation Res. Part B: Methodological 43(8–9):821–836.CrossrefGoogle Scholar
  • Cacchiani V, Caprara A, Galli L, Kroon L, Maróti G, Toth P (2012) Railway rolling stock planning: Robustness against large disruptions. Transportation Sci. 46(2):217–232.LinkGoogle Scholar
  • Cacchiani V, Huisman D, Kidd M, Kroon L, Toth P, Veelenturf L, Wagenaar J (2014) An overview of recovery models and algorithms for real-time railway rescheduling. Transportation Res. Part B: Methodological 63:15–37.CrossrefGoogle Scholar
  • Church RL, ReVelle C (1974) The maximal covering location problem. Papers Regional Sci. Assoc. 32:101–118.Google Scholar
  • Ibarra-Rojas OJ, Giesen R, Rios-Solis YA (2014) An integrated approach for timetabling and vehicle scheduling problems to analyze the trade-off between level of service and operating costs of transit networks. Transportation Res. Part B: Methodological 70:35–46.CrossrefGoogle Scholar
  • Kroon L, Maróti G, Nielsen L (2015) Rescheduling of railway rolling stock with dynamic passenger flows. Transportation Sci. 49(2):165–184.LinkGoogle Scholar
  • Kumazawa K, Hara K, Koseki T (2010) A novel train rescheduling algorithm for correcting disrupted train operations in a dense urban environment. Hansen I, ed. Timetable Planning and Information Quality (Wit Press, Southampton, UK), 199–208.CrossrefGoogle Scholar
  • Li JQ, Borenstein D, Mirchandani PB (2007) A decision support system for the single-depot vehicle rescheduling problem. Comput. Oper. Res. 34(4):1008–1032.CrossrefGoogle Scholar
  • Li JQ, Mirchandani PB, Borenstein D (2009) Real-time vehicle rerouting problems with time windows. Eur. J. Oper. Res. 194(3):711–727.CrossrefGoogle Scholar
  • Mesa JA, Ortega FA, Pozo MA (2009a) Determining railway timetables according to users’ desires and fleet size constraints. Proc. XXIII EURO (Eur. Conf. Oper. Res.), EURO (Association of European Operational Research Societies, Bonn, Germany), Vol. 1, 151–151.Google Scholar
  • Mesa JA, Ortega FA, Pozo MA (2009b) Effective allocation of fleet frequencies by reducing intermediate stops and short turning in transit systems. Ahuja RK, Möhring RH, Zaroliagis CD, eds. Robust and Online Large-Scale Optimization, Lecture Notes Comput. Sci. Vol. 5868 (Springer, Berlin Heidelberg):293–309.CrossrefGoogle Scholar
  • Mesa JA, Ortega FA, Pozo MA (2013) A geometric model for an effective rescheduling after reducing service in public transportation systems. Comput. Oper. Res. 40(3):737–746.CrossrefGoogle Scholar
  • Mesa JA, Ortega FA, Pozo MA (2014a) Locating optimal timetables and vehicle schedules in a transit line. Ann. Oper. Res. 222:439–455.CrossrefGoogle Scholar
  • Mesa JA, Ortega FA, Pozo MA, Puerto J (2014b) Rescheduling railway timetables in presence of passenger transfers between lines within a transportation network. Sousa JF, Rossi R, eds. Computer-Based Modelling and Optimization in Transportation, Adv. Intelligent Systems Comput., Vol. 262 (Springer International Publishing, Cham, Switzerland), 347–360.CrossrefGoogle Scholar
  • Nakamura T, Hirai C, Nishioka Y (2011) A practical train rescheduling algorithm using three predetermined factors. Proc. 4th Internat. Seminar Railway Oper. Modelling Anal., Rome.Google Scholar
  • Sato K, Tamura K, Tomii N (2013) A MIP-based timetable rescheduling formulation and algorithm minimizing further inconvenience to passengers. J. Rail Transport Planning Management 3(3):38–53.CrossrefGoogle Scholar
  • Spliet R, Gabor A, Dekker R (2014) The vehicle rescheduling problem. Comput. Oper. Res. 43:129–136.CrossrefGoogle Scholar
  • van Exel NA, Rietveld P (2001) Public transport strikes and traveller behaviour. Transport Policy 8(4):237–246.CrossrefGoogle Scholar
  • Veelenturf LP, Kidd MP, Cacchiani V, Kroon LG, Toth P (2016) A railway timetable rescheduling approach for handling large-scale disruptions. Transportation Sci. 50(3):841–862.LinkGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.