Underground travel time estimation for macro simulation models, on the example of the first line in Warsaw
Marek Bauer
Department of Transport Systems; Institute of Road and Railway Engineering; Faculty of Civil Engineering; Cracow University of Technology (Poland)
Abstract
In this paper, the author’s model of underground travel time prediction was presented. The structure of the model can be used to estimate the travel time of any underground line in the planning phase. The model takes into account the length and the variability of running time between stations and stopping time at these stations. Partial models of average running time depending on the length of the sections – for six periods of the working day, developed on the basis of measurements on the first underground line in Warsaw were presented. Similar models for the estimation of the standard deviation of running time were also presented. Stopping times for three types of stations, varying in terms of the average stopping time and location of the station in relation to the city center were estimated. Paper presents also a practical example of the use of the model: evaluation of the impact of additional stations on the travel time on the underground line in Warsaw.
Keywords:
underground, modelling, simulation model, travel time, running timeReferences
Szarata A. Modelowanie symulacyjne potoków pasażerskich jako kluczowe uwarunkowanie planów budowy metra. Materiały konferencyjne: Budownictwo podziemne i bezpieczeństwo w komunikacji drogowej i infrastrukturze miejskiej. AGH, Kraków (2014), s. 135-144.
Google Scholar
Wilson R.J.: Wprowadzenie do teorii grafów. Wydawnictwo Naukowe PWN, Warszawa (2002).
Google Scholar
Vuchic V.R.: Urban Transit Systems and Technology. John Wiley & Sons, 2007.
DOI: https://doi.org/10.1002/9780470168066
Google Scholar
Bauer M.: Simulation Model of a Bus Line in Changing Traffic Conditions; The Fifth International Conference on Advances in System Simulation SIMUL 2013, Venice, s. 29-35.
Google Scholar
Birr K., Jamroz K., Kustra W. Analiza czynników wpływających na prędkość pojazdów transportu zbiorowego na przykładzie Gdańska. Problemy współczesnych systemów logistycznych i transportowych. Prace naukowe - Transport - z. 97. Oficyna Wydawnicza Politechniki Warszawskiej (2013), s. 19-29.
Google Scholar
Fenga X., Maoa B., Fenga X., Fenga J.: Study on the maximum operation speeds of metro trains for energy saving as well as transport efficiency improvement, Energy, The International Journal, Volume 36, Issue 11, November 2011, pp. 6577–6582.
DOI: https://doi.org/10.1016/j.energy.2011.09.004
Google Scholar
http://www.metro.waw.pl.
Google Scholar
Bauer M. Analiza zmienności prędkości przejazdu linii metra. Czasopismo Logistyka 2/2014.
Google Scholar
Derrible S., Kennedy Ch.: Network Analysis of World Subway Systems Using Updated Graph Theory. Transportation Research Record, Volume 2112 / 2009, Transit 2009, Vol. 3, pp. 17-25.
DOI: https://doi.org/10.3141/2112-03
Google Scholar
Yang X., Li X., Gao Z., Wang H.: A Cooperative Scheduling Model for Timetable Optimization in Subway Systems, IEEE Transactions on Intelligent Transportation Systems, 2013, Vol. 14.
DOI: https://doi.org/10.1109/TITS.2012.2219620
Google Scholar
Yalçınkaya O., Bayhan G. M.: Modelling and optimization of average travel time for a metro line by simulation and response surface methodology. European Journal of Operational Research, Vol. 196, Issue 1, 2009, pp. 225–233.
DOI: https://doi.org/10.1016/j.ejor.2008.03.010
Google Scholar
Stypuła K., Kozioł K., Szczepański M., Pęski S., Miros G.: Rozwiązania nawierzchni torowych l linii metra w Warszawie. Inżynieria i Budownictwo, 2009, Tom R. 65, nr 8, s. 429-433.
Google Scholar
Authors
Marek BauerDepartment of Transport Systems; Institute of Road and Railway Engineering; Faculty of Civil Engineering; Cracow University of Technology Poland
Statistics
Abstract views: 157PDF downloads: 112
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Budownictwo i Architektura supports the open science program. The journal enables Open Access to their publications. Everyone can view, download and forward articles, provided that the terms of the license are respected.
Publishing of articles is possible after submitting a signed statement on the transfer of a license to the Journal.
