Estimativa de matriz origem/destino utilizando dados do sistema de bilhetagem eletrônica: proposta metodológica

Authors

  • André Leite Guerra UFMG
  • Heloisa Maria Barbosa UFMG
  • Leise Kelli de Oliveira UFMG

DOI:

https://doi.org/10.14295/transportes.v22i3.789

Keywords:

OD Matrix. Automatic Fare Collection. Public transportation.

Abstract

The characterization of demand is fundamental in the development of transport networks. There are numerous methods for the demand analysis, and the conventional methods have high costs and time of implementation, that restrict the frequency of its application. In order to mitigate the weaknesses of conventional methods of transport surveys, this paper presents a methodology for estimation of an Origin-Destination Matrix for public bus transport systems using information from the Automatic Fare Collection and from Geographic Information Systems (GIS) database of buses lines. This methodology consists in create the transport network in GIS, the characterization and processing of fare data for determining the seed matrix and procedures to estimate the final matrix. The methodology was tested for the municipal transportation system of Maceió/AL. The results were consistent and indicate that the proposed methodology allows incorporating the changes in the transport system. Moreover, the application of the methodology indicated its simplicity, convenience and practicality, and can be used for studies related to public transportation.

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References

ANTP (1997) Transporte Humano: Cidades com Qualidade de Vida. Associação Nacional de Transporte Público. São Paulo.

ABRAHAMSSON, T. (1998) Estimation of Origin-Destination Matrices Using Traffic Counts – A Literature Survey. International Institute for Applied Systems Analysis, Luxemburg.

BERTONCINI, B. V.; LOUREIRO C. F. G.; KAWAMOTO E. (2013) Proposta e avaliação de algoritmo de médias sucessivas para reconstrução da matriz origem-destino sintética. Transportes, v. 21, n. 2, 21-29. DOI: 10.4237/transportes.v21i2.697

BERTONCINI, B. V. (2007) Uma proposta de carregamento incremental de fluxos veiculares para estimação de matrix O-D sintética. Escola de Engenharia de São Carlos da Universidade de São Paulo, São Carlos.

CALIPER (2008) TransCAD Transportation Planning Software - Travel Demand Modeling with TransCAD 5.0 - User's Guide. Caliper Corporation, Newton.

CASCETTA E. (1984) Estimation of Trip Matrices from Traffic Counts and Survey Data: A Generalised Least Squares Estimator. Transportation Research Part B, v. 18, n. 4-5, p. 289-299. DOI: 10.1016/0191-2615(84)90012-2

CHAPLEAU, R.; TRÉPANIER, M.; CHU, K. K. (2008) The Ultimate Survey for Transit Planning: Complete Information with Smart Card Data and GIS. 8th International Conference on Survey Methods in Transport: Harmonization and Data Comparability, Annecy.

CHAUDHRY, M. S.; RANJITKAR, P. (2009) Capacity Analysis of Signalised Intersection using Micro-simulation. 32nd Australian Transport Research Forum, Auckland.

CUI, A. (2006) Bus Passenger Origin-Destination Matrix Estimation Using Automated Data Collection Systems. Thesis. Massachusetts Institute of Technology, Boston.

FARZIN, J. M. (2008) Constructing an Automated Bus Origin–Destination Matrix Using Farecard and Global Positioning System Data in São Paulo,

Brazil. Transportation Research Record: Journal of the Transportation Research Board, Washington, n. 2072, p. 30-37. DOI: 10.3141/2072-04.

GORDILLO, F. (2006) The Value of Automated Fare Collection Data for Transit Planning: An Example of Rail Transit OD Matrix Estimation. Thesis. Massachusetts Institute of Technology, Boston.

LIANFU, Z.; SHUZHI, Z.; YONGGANG Z.; ZIYIN, Z. (2007) Study on the Method of Constructing Bus Stops OD Matrix Based on IC Card Data. International Conference on Wireless Communications, Networking, and Mobile Computing, Shanghai. P. 3147-3150. DOI: 10.1109/WICOM.2007.780

MUNIZAGA, M.; PALMA, C. (2012) Estimation of a Disaggregate Multimodal Public Transport OD Matrix from Passive Smart Card Data from Santiago, Chile. Transportation Research Part C: Emerging Technologies, v. 24, p. 9-18. DOI: 10.1016/j.trc.2012.01.007

MUNIZAGA, M.; PALMA, C.; MORA, P. (2010) Public Transport OD Matrix Estimation from Smart Card Payment System Data. Proceedings from 12th World Conference on Transport Research, Lisboa.

NIELSEN, O. A. (1998) Two New Methods for Estimating Trip Matrices from Traffic Counts. In: ORTÚZAR, J. D. D.; HENSHER, D. A.; JARA-DIAZ, S. Travel Behaviour Research: Updating the State of Play. Oxford: Elsevier Science Ltd. Cap. 13, p. 221-250.

NTU (2005) Novas Tendências em Política Tarifária. Associação Nacional das Empresas de Transportes Urbanos, Brasília.

NTU (2013) Vale-transporte 2012. Associação Nacional das Empresas de Transportes Urbanos, Brasília.

TIMMS, P. (2001) A philosophical context for methods to estimate origin-destination trip matrices using link counts. Transport Reviews, v. 21, n. 3, p. 269–301. DOI: 10.1080/713868144

TRÉPANIER, M.; MORENCY, C.; BLANCHETTE, C. (2008) Les systèmes de paiement par cartes à puces: un complément aux enquêtes origine-destination? 43e congrès de l'Association québécoise du transport et des routes, Quebec.

YUANQING, W., LIU, Y., YIN, G., MENGMENG, Z. (2010) OD Matrix Estimation for Urban Expressway. Journal of Transportation Systems Engineering and Information Technology, n. 10, p. 83-87. DOI: 10.1016/S1570-6672(09)60035-0

WEI X. L., LI, H. F., GENG Y. B. (2007) Contrast research on OD matrix estimation result with TransCAD software. Highway, 6: 122–128.

WILLUMSEN, L.G. (1981) Simplified transport models based on traffic counts. Transportation, n. 10, p. 257-278. DOI: 10.1007/BF00148462.

ZHAO, J. (2004) The Planning and Analysis Implications of Automated Data Collection System: Rail Transit OD Matrix Inference and Path Choice Modeling Examples. Thesis. Massachusetts Institute of Technology, Boston.

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Published

2014-09-08

How to Cite

Guerra, A. L., Barbosa, H. M., & Oliveira, L. K. de. (2014). Estimativa de matriz origem/destino utilizando dados do sistema de bilhetagem eletrônica: proposta metodológica. TRANSPORTES, 22(3), 26–38. https://doi.org/10.14295/transportes.v22i3.789

Issue

Vol. 22 No. 3 (2014)

Section

Artigos

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