A Combined DTA Approach for Road Network Robustness Analysis

Minwei Li, Henk J. van Zuylen, Huimin Wen

Abstract

In this paper a DTA model with two components is described: a user equilibrium (UE) model and an en-route model. The UE model is called MARPLE (Model for Assignment and Regional Policy Evaluation) that uses an iterative process to achieve equilibrium (deterministic or stochastic) (Taale et al., 2004). In each iteration a network loading model is used to determine travel times. MARPLE en-route is developed based on the MARPLE model, which runs one-shot simulation starting with the equilibrium assignment results. It updates the path sets and path costs after each evaluation interval during the simulation. Travellers will update their path choice according to the instantaneous path costs at the end of each interval using some heuristic rules. A systematic framework for the robustness study of road networks is built up by combining both DTA approaches, in which the results of UE approach are used as references and en-route approach is used to simulate the network response for non-recurrent and short-term disturbances. The results for a hypothetical network show that for evaluating the network performance after such disturbances, the en-route assignment approach based on UE assignment results shows its capability and advantages in appropriately representing dynamic drivers’ route choice behaviour when facing unfamiliar or unexpected situations on the route.

References

  1. Bell, M. G. H., (2000) A Game Theory Approach to Measuring the Performance Reliability of Transport Networks, Transportation Research Part B, Vol. 34, pp. 533-545
  2. Bell, M. G. H., Iida, Y., (1997) Network Reliability, Transportation Network Analysis, England, John Wiley & Sons, West Sussex, pp. 179-192
  3. Chen, A., Yang, H., Lo, H. K., Tang, W., (1999) A Capacity Related Reliability for Transportation Networks, Journal of Advanced Transport, Vol. 33(2), pp. 183-200
  4. Chen, A., Yang, H., Lo, H., Tang, W., (2002) Capacity Reliability of a Road Network: An Assessment Methodology and Numerical Results, Transportation Research Part B, Vol. 36, pp. 225-252
  5. Chiu Y. C., and Mahmassani H. S., (2002) Hybrid Realtime Dynamic Traffic Assignment Approach for Robust Network Performance, Transportation Research Record, No. 1783: Transportation Network Modelling, pp. 89-97
  6. Daganzo, C. F., Sheffi, Y., (1997) On Stochastic Models of Traffic Assignment, Transportation Science, Vol. 11, No. 3, pp. 253-274
  7. Du, Z. P., Nicholson, A., (1997) Degradable Transportation Systems: Sensitivity and Reliability Analysis, Transportation Research Part B, Vol. 31, pp. 225-237
  8. Gribble, S. D., (2001) Robustness in Complex Systems, In: Proceedings of the 8th Workshop on Hot Topics in Operation Systems (HotOS-VIII), May, Elmau/Oberbayern, Germany
  9. Henley, E. J., Kumamoto H., (1981) Reliability Engineering and Risk Assessment, NJ, Prentice-Hall, Englewood Cliffs
  10. Kaysi I. A., Moghrabi M. S., and Mahmassani H. S., (2003) Hot Spot Management Benefits: Robustness Analysis for a Congested Developing City, Journal of Transportation Engineering, pp 203-211
  11. Slavin, H., (1996) An Integrated, Dynamic Approach to Travel Demand Forecasting, Transportation, Vol. 23, pp. 313-350
  12. Taale, H., Westerman, M., Stoelhorst, H. and van Amelsfort, D., (2004) Regional and Sustain-able Traffic Management in The Netherlands: Methodology and Applications, In: Proceedings of the European Transport Conference 2004, October 4-6, Strasbourg, France, Association for European Transport
  13. Wakabayashi, H., Iida, Y., (1992) Upper and Lower bounds of Terminal Reliability of Road Networks: An Efficient Method with Boolean Algebra, Journal of Natural Diaster Science, Vol. 14, pp 29-44
  14. Wardrop, J. G., (1952) Some Theoretical Aspects of Road Traffic Research, In: Proceedings of the Institute of Civil Engineers, Part II, pp. 325-378
  15. Yin Y. F., Madanat S., Lu X. Y., (2005), Robust Improvement Schemes for Road Networks Under Demand Uncertainty, In: CD-ROM of 84rd Annual Meeting of Transportation Research Board, January 9- 13, Washington, D.C.
  16. Zhang L., Levinson, D., (2004) Investing for Robustness and Reliability in Transportation Networks, In: Proceedings of 2nd International Symposium on Transport Network Reliability, August 20-24, Christchurch & Queenstown, New Zealand, pp. 160- 166
Download


Paper Citation


in Harvard Style

Li M., J. van Zuylen H. and Wen H. (2012). A Combined DTA Approach for Road Network Robustness Analysis . In Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-8565-20-4, pages 315-320. DOI: 10.5220/0004055803150320


in Bibtex Style

@conference{simultech12,
author={Minwei Li and Henk J. van Zuylen and Huimin Wen},
title={A Combined DTA Approach for Road Network Robustness Analysis},
booktitle={Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2012},
pages={315-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004055803150320},
isbn={978-989-8565-20-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - A Combined DTA Approach for Road Network Robustness Analysis
SN - 978-989-8565-20-4
AU - Li M.
AU - J. van Zuylen H.
AU - Wen H.
PY - 2012
SP - 315
EP - 320
DO - 10.5220/0004055803150320