Estimation of Origin-Destination Trip Matrices for Small Cities

  • 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.

Author Biographies

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

References

Ortuzar, J., Willumsen, L.: Modelling Transport, Wiley, Chichester, 2011

Wilson, A.G.: Entropy in Urban and Regional Modelling, Pion, London, 1970

Spiess, H.: A maximum likelihood model for estimating origin-destination matrices, Transportation Research Part B, Vol. 21B, No.5, pp. 395-412, 1987

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) demand and system consistency control for real-time dynamic traffic assignment operation, Ph.D. dissertation, University of Texas, Austin, 1999

Ashok, K.; Akiva, B.: Estimation and prediction of time-dependent origin-destination flows: A stochastic mapping to path flows and link flows, Transportation Science, Vol. 36, pp. 184-209, 1996

Zhou, X.; Mahmassani, H.S.: A structural state space model for real-time origin- destination demand estimation and prediction in a day-to-day updating framework, 83rd Annual Meeting of the Transportation Research Board, National Research Council, Washington, 2004

Nihan, N.L.; Davis, G.A.: Recursive estimation of origin-destination matrices from input/output counts, Transportation Research Part B, Vol. 21B, pp. 149-163, 1987

Hyunmyung, K.; Seungkirl, B.; Yongtaek, L.: Origin-Destination matrices estimated with a genetic algorithm from traffic link counts, Transport Research Record 1771, No. 01-0210, pp. 156-163, 2001

Gong, Z.: Estimating the urban OD matrix: A neural network approach, European Journal of Operational Research, Vol. 106, pp. 108-115, 1998

Kim, D.; Chang, Y.: Neural Network-based O-D Matrix Estimation from Link Traffic Counts, International Journal of Urban Sciences, Vol. 12(2), pp. 146-157, 2008

Bovy, P.H.L.; Bliemer, M.C.J.; Nes, R.: Transportation Modeling, Course CT4801, Delft University of Technology, Delft, 2006

Šoštarić, M.: Model mjerenja tranzitnog prometa na gradskim obilaznicama (Model of measuring transport traffic on urban by-passes), Master Thesis, Faculty of Traffic and Transport Sciences, Zagreb, 2010

Ross, T.J.: Fuzzy Logic with Engineering Applications, Wiley, Chichester, 2004

Friedrich, M.; Nökel, K.; Mott, P.: Keeping Passenger Surveys up-to-date: A Fuzzy Approach, Transportation Research Records, No. 1735, pp. 35-42, 2000

Koncepcija prometnog sustava grada Čazme, traffic study, Faculty of Traffic and Transport Sciences, Zagreb, 2009

Trip Generation – 8th Edition, Institute of Transportation Engineers, Washington, DC, 2008

Published
2014-10-31
How to Cite
1.
Novačko L, Šimunović L, Krasić D. Estimation of Origin-Destination Trip Matrices for Small Cities. Promet - Traffic&Transportation. 2014;26(5):419-28. DOI: 10.7307/ptt.v26i5.1501
Section
Articles