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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
31.10.2014
DOI
https://doi.org/10.7307/ptt.v26i5.1501
ISSUE
2014 (Vol 26), Issue 5
LICENSE
Copyright (c) 2024 Luka Novačko, Ljupko Šimunović, Davor Krasić
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Estimation of Origin-Destination Trip Matrices for Small Cities

Authors:

Luka Novačko
Faculty of Transport and Traffic Sciences, University of Zagreb

Ljupko Šimunović
Faculty of Transport and Traffic Sciences, University of Zagreb

Davor Krasić
Institute for tourism, Zagreb

Keywords:traffic model, origin-destination (OD) trip matrix, traffic count, fuzzy logic

Abstract

This paper presents a model of data assessment for the requirements of a classical four-step model of traffic demand in individual traffic in small cities. The procedure is carried out by creating an initial origin-destination trip matrix using data from the traffic count and by defining the average rate of trip generation within single households. The research applied fuzzy logic for the correction of the initial trip matrix. The paper also presents the recommendations for defining the borders of traffic zones, as well as the locations of traffic counts. A flowchart has been used to show a summarized presentation of the proposed model. In the last part of the paper the model was tested on an example of a smaller city in the Republic of Croatia.

References

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    Cascetta, E.: Transportation Systems Analysis – Models and Applications, Springer, New York, 2009

    Cascetta, E.: Estimation of trip matrices from traffic counts and survey data: a generalized least squares estimator, Transportation Research Part B, Vol. 18B, No.4/5, pp. 289-299, 1984

    Bell, M.G.H.: The estimation of origin-destination matrices by constrained generalied least squares, Transportation Research Part B, Vol. 25B, pp. 13-22, 1991

    Cremer, M; Keller, H.: A new class of dynamic methods for the identification of origin-destination flows, Transportation Research Part B, Vol. 21B, pp. 117-132, 1987

    Kang, Y.: Estimation and prediction of dynamic origin-destination (O-D)

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How to Cite
Novačko, L. (et al.) 2014. Estimation of Origin-Destination Trip Matrices for Small Cities. Traffic&Transportation Journal. 26, 5 (Oct. 2014), 419-428. DOI: https://doi.org/10.7307/ptt.v26i5.1501.

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