Integrating Origin-Destination Survey and Stochastic User Equilibrium: A Case Study for Route Relocation

Download Download as PDF (Size:398KB)  HTML    PP. 297-304  
DOI: 10.4236/jtts.2012.24032    2,766 Downloads   5,254 Views   Citations


The paper analyses integrating origin-destination (O-D) survey results with stochastic user equilibrium (SUE) in traffic assignment. The two methods are widely used in transportation planning but their applications have not yet fully integrated. While O-D gives a generalized trip patterns, purpose and characteristics, SUE provides optimal trip distributions using the characteristics found in O-D survey. The paper utilized O-D and SUE in route relocation study for the town of Coamo in Puerto Rico. The O-D survey was used initially in studying possible trip distribution and assignment for the new route. Initial distribution and assignment of traffic to the existing roadway networks and the proposed route were allocated utilizing the O-D survey findings. The SUE was then used to optimize the assignments considering roadway characteristics such as number of lanes, capacity limits, free flow speed, signal spacing density, travel time and gasoline cost. The travel time was optimized through the Bureau of Public Roads (BPR) equation found in 2000 HCM. The optimal trips found from the SUE were then used to propose the final alignment of the new route. Traffic assignment from the SUE was slightly different from those initially assigned using O-D, indicating there was optimization. The assignment on new route was increased by 13.8% from the one assigned using O-D while assignment on the existing link was reduced by 22%.

Cite this paper

D. Chimba, D. Emaasit and B. Kutela, "Integrating Origin-Destination Survey and Stochastic User Equilibrium: A Case Study for Route Relocation," Journal of Transportation Technologies, Vol. 2 No. 4, 2012, pp. 297-304. doi: 10.4236/jtts.2012.24032.


[1] S. Jiang, B. Bai, G. Hong and J. O’Leary, “Understanding Travel Expenditure Patterns: A Study of Japanese Pleasure Travelers to the United States by Income Level,” Journal of Tourism Management. Vol. 25, No. 3, 2004, pp. 331-341. doi:10.1016/S0261-5177(03)00141-9
[2] H. Alibabai and H. S. Mahmassani, “Dynamic OriginDestination Demand Estimation Using Turning Movement Counts,” The 87th Annual Meeting of the Transportation Research Board Proceedings, Washington DC., 2008.
[3] H. Spiess, “A Maximum Likelihood Model for Estimating Origin-Destination Matrices,” Transportation Research, Vol. 21, No. 5, 1987, pp. 395-412. doi:10.1016/0191-2615(87)90037-3
[4] M. Hazelton, “Some Comments on Origin-Destination Matrix Estimation,” Transportation Research Part A: Policy and Practice, Vol. 37, No. 10, 2003, pp. 811-822. doi:10.1016/S0965-8564(03)00044-2
[5] S. Han, “Dynamic Traffic Modeling and Dynamic Stochastic User Equilibrium Assignment for General Road Networks,” Transportation Research Part B: Methodological, Vol. 37, No. 3, 2003, pp. 225-249. doi:10.1016/S0191-2615(02)00009-7
[6] M. Hazelton, “Estimation of Origin-Destination Matrices from Link Flows on Uncongested Networks,” Transportation Research, Vol. 34, No. 7, 2000, pp. 549-566. doi:10.1016/S0191-2615(99)00037-5
[7] K. Jeornsten and S. Wallace, “Overcoming the (Apparent) Problem of Inconsistency in Origin-Destination Matrix Estimations,” Transportation Science, Vol. 27, No. 4, 1993, pp. 374-380. doi:10.1287/trsc.27.4.374
[8] H. Lo., N. Zhang and W. Lam, “Estimation of an Origin-Destination Matrix with Random Link Choice Proportions: A Statistical Approach,” Transportation Research, Vol. 30, No. 4, 1996, pp. 309-324. doi:10.1016/0191-2615(95)00036-4
[9] M. Hazelton and M. Gordon, “Estimation of Origin-Destination Trip Matrices from Link Counts,” Proceedings of the 2002 European Transport Conference, London, 2002.
[10] H. Yang and J. Zhou, “Optimal Traffic Counting Locations for Origin-Destination Matrix Estimation,” Transportation Research Part B: Methodological, Vol. 32, No. 2, 1998, pp. 109-126. doi:10.1016/S0191-2615(97)00016-7
[11] J. Hu, L. Yang, L. Kong and Y. Yang, “Urban Mixed Traffic Flow Considering the Influence by Origin-Destination of Public Transportation,” Journal of Transportation Systems Engineering and Information Technology, Vol. 11, No. 1, 2011, pp. 102-107. doi:10.1016/S1570-6672(10)60107-9
[12] S. Clark and P. Watling, “Sensitivity Analysis of the Probit-Based Stochastic User Equilibrium Assignment Model,” Transportation Research Part B: Methodological, Vol. 36, No. 7, 2002, pp 617-635. doi:10.1016/S0191-2615(01)00021-2
[13] Y. Lim and B. Heydecker, “Dynamic Departure Time and Stochastic User Equilibrium Assignment,” Transportation Research Part B: Methodological, Vol. 39, No. 2, 2005, pp. 97-118. doi:10.1016/j.trb.2003.08.003
[14] A. Nielsen, D. Frederiksen and N. Simonsen, “Stochastic User Equilibrium Traffic Assignment with Turn-Delays in Intersections,” International Transactions in Operational Research, Vol. 5, No. 6, 1998, pp. 555-568. doi:10.1111/j.1475-3995.1998.tb00137.x
[15] M. Hazelton, “Some Remarks on Stochastic User Equilibrium,” Transportation Research Part B: Methodological, Vol. 32, No. 2, 1998, pp. 101-108. doi:10.1016/S0191-2615(97)00015-5
[16] X. Fei and H. S. Mahmassani, “A Two-Stage Stochastic Model for the Sensor Location Problem in a Large-Scale Network,” The 87th Annual Meeting of the Transportation Research Board Proceedings, Washington DC, 2008.
[17] K. N. Paul and H. K. L. William, “Evaluation of Count Location Selection Methods for Estimation of O-D Matrices,” Journal of Transportation Engineering, Vol. 124, No. 4, 1998, pp. 376-383. doi:10.1061/(ASCE)0733-947X(1998)124:4(376)
[18] Highway Capacity Manual, “Transportation Research Board,” National Research Council, Washington DC, 2000.
[19] M. G. H. Bell and H. W. K. Lam, “Ploss, G. and Inaudi, D. Stochastic User Equilibrium Assignment and Iterative Balancing,” Proceedings of the 12th International Symposium on Transportation and Traffic Theory, Berkeley, 1993.
[20] S. Kato, Y. Kaneko and M. Inoue, “Empirical Analysis on Relationship Between Types of Travel Demand Techniques and Estimated User’s Benefit Stemming from Transportation Investment,” Journal of the Eastern Asia Society for Transportation Studies, Vol. 6, 2005, pp. 3937-3947.

comments powered by Disqus

Copyright © 2017 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.