A simulation-based dynamic traffic assignment model with combined modes

  • Meng Meng Beijing jiaotong University
  • Chunfu Shao Beijing Jiaotong University
  • Jingjing Zeng Beijing E-Hualu Information Technology Company Limited
  • Chunjiao Dong The University of Tennessee
DOI: https://doi.org/10.7307/ptt.v26i1.1252
Keywords: dynamic traffic assignment, combined modes, mesoscopic simulation, time-dependent shortest path algorithm,

Abstract

This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation network by con­structing a mesoscopic simulation model. Several traffic means such as private car, subway, bus and bicycle are con­sidered in the network. The mesoscopic simulator consists of a mesoscopic supply simulator based on MesoTS model and a time-dependent demand simulator. The mode choice is si­multaneously considered with the route choice based on the improved C-Logit model. The traffic assignment procedure is implemented by a time-dependent shortest path (TDSP) al­gorithm in which travellers choose their modes and routes based on a range of choice criteria. The model is particularly suited for appraising a variety of transportation management measures, especially for the application of Intelligent Trans­port Systems (ITS). Five example cases including OD demand level, bus frequency, parking fee, information supply and car ownership rate are designed to test the proposed simulation model through a medium-scale case study in Beijing Chaoy­ang District in China. Computational results illustrate excel­lent performance and the application of the model to analy­sis of urban multi-modal transportation networks.

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Meng Meng, Beijing jiaotong University

Meng Meng is a Ph.D student at the School of Traffic and Transportation at Beijing Jiaotong University at Beijing (China).  Dr. Meng’s research interests are in the areas of traffic planning and transportation management, ITS, and traffic safety. Her publishedworks appear in several refereed journals, including Disaster Advanced, Journal of Information, Journal of Computer, Journal of Beijing Institute of Technology(Natural Science Edition), Journal of Central South University of Technology and so on.

Chunfu Shao, Beijing Jiaotong University
MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology
Chunjiao Dong, The University of Tennessee
Center for Transportation Research, TN37996, USA

References

Paz, A., Chiu, Y.C.: Adaptive traffic control for large-scale dynamic traffic assignment applications, Transportation Research Record, Vol. 2263, 2011, pp. 103-112

Sundaram, S., Koutsopoulos, H.N., Ben-Akiva, M., Antoniou, C., Balakrishna, R.: Simulation-based dynamic traffic assignment for short-term planning applications, Simulation Modelling Practice and Theory, Vol. 19, No. 1, pp. 450-462

Omrani, R., Kattan, L.: Demand and supply calibration of dynamic traffic assignment models past efforts and future challenges, Transportation Research Record, Vol. 2283, 2012, pp. 100-112

Chen, L.W., Hu, T.Y.: Flow equilibrium under dynamic traffic assignment and signal control-an illustration of pretimed and actuated signal control policies, IEEE Transactions on Intelligent Transportation Systems, Vol. 13, No. 3, 2012, pp. 1266-1276

Caggiani, L., Dell’Orco, M., Marinelli, M., Ottomanelli, M.: A metaheuristic dynamic traffic assignment model for O-D matrix estimation using aggregate data, Proceedings of EWGT 2012 - 15th Meeting of the Euro Working Group on Transportation, Paris, France, Vol. 54, 2012, pp. 685-695

Abdelghany, K.F.S.: Stochastic dynamic traffic assignment for intermodal transportation networks with consistent information supply strategies, Ph.D. thesis, Civil, Architectural, and Environmental Engineering, University of Texas, Austin. 2001a

Abdelghany, K.F.S., Mahmassani, H.S.: Dynamic trip assignment-simulation model for intermodal transportation networks, Transportation Research Record, Vol. 1771, 2001b, pp. 54-60

Hoseini, S.M.S., Vaziri, M.: Modelling drivers’ behaviour as a crash risk reduction process, Promet-Traffic & Transportation, Vol.20, No. 3, 2008, pp. 139-146

Pei, Y.L, Wang, Y.G., Zhang, Y.: Microscopic model of automobile lane-changing virtual desire trajectory by spline curves, Promet-Traffic & Transportation, Vol. 22, No. 3, 2010, pp. 203-208

Dundovic, C., Bilic, M., Dvornik, J.: Contribution to the development of a simulation model for a seaport in specific operating conditions, Promet-Traffic & Transportation, Vol. 21, No. 5, 2009, pp. 331-340

Yang, Q.D.: A simulation laboratory for evaluation of dynamic traffic management systems, Ph.D. thesis, Massachusetts Institute of Technology, Boston, 1997

Namekawa, M., Ueda, F., Hioki, Y., Ueda, Y., Satoh, A.: General purpose road traffic simulation system with a cell automaton model, International Congress on Modelling and Simulation (MODSIM05), Melbourne, Australia, Dec. 2005

Bham, G.H., Benekohal, R.F.: A high fidelity traffic simulation model based on cellular automata and car-following concepts, Transportation Research Part C, Vol. 12, No. 1, 2004, pp. 1-32

McShane, W. R., Roger P. R.: Traffic Engineering. 1990

Cascetta, M., Nuzzolo, A., Russo, F., Vitetta. A.: A modified logit route choice model overcoming path overlapping problems: specification and some calibration results for interurban networks, 13th International Symposium on Transportation and Traffic Theory, Lyon, France, July 1996

Ziliaskopoulos, A.: Optimum path algorithms on multidimensional networks: analysis, design, implementation, and computational experience, Ph.D. thesis, Department of Civil Engineering, University of Texas, Austin, 1994

Kihara, T.S., Shimizu, Y., Arakawa, N., Shiba, K.: Fast link-disjoint path algorithm on parallel reconfigurable processor DAPDNA-2, 14th Asia-Pacific Conference on Communications (APCC2008), Tokyo, Japan, Oct. 2008

Published
2014-02-28
How to Cite
1.
Meng M, Shao C, Zeng J, Dong C. A simulation-based dynamic traffic assignment model with combined modes. Promet [Internet]. 2014Feb.28 [cited 2024Nov.21];26(1):65-3. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/1252
Issue
Vol 26 No 1 (2014)
Section
Articles

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