Abstract
DynaMIT is a simulation-based real-time system designed to estimate the current state of a transportation network, predict future traffic conditions, and provide consistent and unbiased information to travelers. To perform these tasks, efficient simulators have been designed to explicitly capture the interactions between transportation demand and supply. The demand reflects both the OD flow patterns and the combination of all the individual decisions of travelers while the supply reflects the transportation network in terms of infrastructure, traffic flow and traffic control. This paper describes the design and specification of these simulators, and discusses their interactions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ashok, K. and M. Ben-Akiva. (1993). Dynamic origin-destination matrix estimation and prediction for real-time traffic management systems. In Daganzo, C., editor, Transportation and Traffic Theory. Elsevier Science Publishing Company Inc. Proceedings of the 12th ISTTT.
Ben-Akiva, M. and M. Bierlaire. (1999). Discrete choice methods and their applications to short-term travel decisions. In Hall, R., editor, Handbook of Transportation Science. Kluwer.
Ben-Akiva, M., M. Bierlaire, J. Bottom, H.N. Koutsopoulos, and R.G. Mishalani. (1997). Development of a route guidance generation system for real-time application. In Proceedings of the 8th IFAC Symposium on Transportation Systems,Chania, Greece.
Ben-Akiva, M., H.N. Koutsopoulos, R. Mishalani, and Q. Yang. (1996). Simulation laboratory for evaluating dynamic traffic management systems. Journal of Transportation Engineering.
Ben-Akiva, M.E., M. Bierlaire, H.N. Koutsopoulos, and R.G. Mishalani. (1998a). DynaMIT: a simulation-based system for traffic prediction and guidance generation. Paper presented at TRISTAN I II, San Juan, Porto Rico.
Ben-Akiva, M.E., M. Bierlaire, H.N. Koutsopoulos, and R.G. Mishalani. (1998b). DynaMIT: a simulation-based system for traffic prediction. In Proceedings of the DACCORD Short-Term forecasting workshop.
Bierlaire, M., R. Mishalani, and M. Ben-Akiva. (2000). General framework for dynamic demand simulation. Technical Report RO-000223, ROSO-DMA-EPFL Swiss Institute of Technology, CH-1015 Lausanne.
Bottom, J., M. Ben-Akiva, M. Bierlaire, I. Chabini, H. Koutsopoulos, and Q. Yang. (1999). Investigation of route guidance generation issues by simulation with DynaMIT. In Ceder, A., editor, Transportation and Traffic Theory. Proceedings of the 14th ISTTT, pages 577–600. Pergamon.
HCM (1994). Highway capacity manual. Transportation Research Board, Special Report 209.
Yang, Q. and H. Koutsopoulos. (1997). A microscopic traffic simulator for evaluation of dynamic traffic management systems. Transportation Research C, 4 (3): 113–129.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Ben-Akiva, M., Bierlaire, M., Koutsopoulos, H.N., Mishalani, R. (2002). Real Time Simulation of Traffic Demand-Supply Interactions within DynaMIT. In: Gendreau, M., Marcotte, P. (eds) Transportation and Network Analysis: Current Trends. Applied Optimization, vol 63. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6871-8_2
Download citation
DOI: https://doi.org/10.1007/978-1-4757-6871-8_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5212-7
Online ISBN: 978-1-4757-6871-8
eBook Packages: Springer Book Archive