Estimation of Origin-Destination Demand Matrix for the Urban Multimodal Traffic Network

Abstract:

In this paper we consider a procedure for the estimation of origin-destination (O-D) matrices for a multimodal transit network. The structure of urban multimodal transport system is fully analyzed and then a bi-level programming model is established for O-D demand matrices estimation, where the upper-level problem seeks to minimize the sum of error measurements in traffic counts and O-D matrices, while the lower-level problem is to assign a target O-D matrix onto the network according to the user equilibrium principle. And a heuristic algorithm is proposed, finally a numeral example is given which indicates that the solution approach can be applied in practice.

• Periodical: Applied Mechanics and Materials (Volumes 511-512)
• Pages: 963-970
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.511-512.963
• Online since: February 2014
• Authors: Ya Nan Wang, Bing Feng Si
• Keywords: Multimodal Traffic Network, Origin-Destination Matrix, User-Equilibrium

References

[1] Yang H, Heuristic algorithms for the bi-level origin-destination matrix estimation problem,. Trans Res, 29B, 231-242, (1995).

[2] Yang H, A sensitivity analysis based algorithm for the congested origin-destination matrix estimation problem, Proceedings of the 7th World Conference on Transportation Research Modeling Transport Systems, Vol. 2, 99-106, (1996).

[3] Ricardo Garcia-Rodenas, Doroteo Verastegui-Rayo, A column generation algorithm for the estimation of origin-destination matrices in congested traffic networks, European Journal of Operational Research, 860-878, (2008).

DOI: 10.1016/j.ejor.2006.11.037

[4] SI BingFeng, LONG JianCeng, GAO ZiYou, Optimization model and algorithm for mixed traffic of urban road network with flow interference, Sci China Ser E-Tech Sci, 2223-2232, (2008).

DOI: 10.1007/s11431-008-0248-9

[5] SI B F, ZHONG M, GAO Z Y, Link Resistance Function of Urban Mixed Traffic Network, Journal of Transportation Systems Engineering and Information Technology, 8(1), 68-73, (2008).

DOI: 10.1016/s1570-6672(08)60011-2

[6] Simonelli, Vittorio Marzano, Andrea Papola, A network sensor location procedure accounting for o-d matrix estimation variability, Transportation research Part B, 46, 1624-1638, (2012).

DOI: 10.1016/j.trb.2012.08.007

[7] Marcela A. Munizaga, Carolina Palma, Estimation of a disaggregate multimodal public transport Origin-Destination matrix from passive smartcard data from Santiago, Chile, Transportation Research Part C, 24, 9-18, (2012).

DOI: 10.1016/j.trc.2012.01.007

[8] M., Wu, J. H., and He, S, A Multi-Class Multi-Mode Variable Demand Network Equilibrium Model with Hierarchical Logit Structures, Proceedings of Seminar F, Behavioural Modelling, European Transport Conference, 211-224, (2000).

DOI: 10.1007/978-1-4757-6871-8_8