- About this Journal ·
- Abstracting and Indexing ·
- Aims and Scope ·
- Annual Issues ·
- Article Processing Charges ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Recently Accepted Articles ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
Discrete Dynamics in Nature and Society
Volume 2013 (2013), Article ID 165086, 7 pages
Dynamic Analysis of Traffic State and Congestion Propagation on Bidirectional Grid Network
1Public Security Department, Shandong Police College, Jinan 250014, China
2School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250101, China
3MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
Received 12 July 2013; Revised 22 October 2013; Accepted 29 October 2013
Academic Editor: Wuhong Wang
Copyright © 2013 Shu-bin Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- C. F. Daganzo and J. A. Laval, “Moving bottlenecks: a numerical method that converges in flows,” Transportation Research B, vol. 39, no. 9, pp. 855–863, 2005.
- G. F. Newell, “A simplified theory of kinematic waves in highway traffic—part III: multi-destination flows,” Transportation Research B, vol. 27, no. 4, pp. 305–313, 1993.
- D. Ni and J. D. Leonard II, “A simplified kinematic wave model at a merge bottleneck,” Applied Mathematical Modelling, vol. 29, no. 11, pp. 1054–1072, 2005.
- G. Ziyou and S. Yifan, “A reserve capacity model of optimal signal control with user-equilibrium route choice,” Transportation Research B, vol. 36, no. 4, pp. 313–323, 2002.
- G. Gentile, L. Meschini, and N. Papola, “Spillback congestion in dynamic traffic assignment: a macroscopic flow model with time-varying bottlenecks,” Transportation Research B, vol. 41, no. 10, pp. 1114–1138, 2007.
- W. H. K. Lam and Y. Yin, “An activity-based time-dependent traffic assignment model,” Transportation Research B, vol. 35, no. 6, pp. 549–574, 2001.
- H. Guo, W. Wang, W. Guo, X. Jiang, and H. Bubb, “Reliability analysis of pedestrian safety crossing in urban traffic environment,” Safety Science, vol. 50, no. 4, pp. 968–973, 2012.
- W. H. Wang, W. Zhang, H. W. Guo, H. Bubb, and K. Ikeuchi, “A behavioural car-following safety model for microscopic simulation of traffic flow with various driving characteristics,” Transportation Research C, vol. 19, no. 6, pp. 1202–1214, 2011.
- J. C. Long, Z. Y. Gao, H. L. Ren, and A. p. Lian, “Urban traffic congestion propagation and bottleneck identification,” Science in China F, vol. 55, no. 7, pp. 948–964, 2008.
- J. C. Long, Z. Y. Gao, P. Orenstein, and H. L. Ren, “Control strategies for dispersing incident-based traffic jams in two-way grid networks,” IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 2, pp. 469–481, 2011.
- A. Zhang, Z. Gao, and H. Ren, “Incident-based traffic congestion control strategy,” Science China Technological Sciences, vol. 54, no. 5, pp. 1338–1344, 2011.
- P. Roberg, “Development and dispersal of area-wide traffic jams,” Traffic Engineering & Control, vol. 35, no. 6, pp. 379–386, 1994.
- P. Roberg, “A distributed strategy for eliminating incident-based traffic jams from urban networks,” Traffic Engineering & Control, vol. 36, no. 6, pp. 348–355, 1995.
- P. Roberg and C. R. Abbess, “Diagnosis and treatment of congestion in central urban areas,” European Journal of Operational Research, vol. 104, no. 1, pp. 218–230, 1998.
- P. Roberg-Orenstein, C. R. Abbess, and C. Wright, “Traffic jam simulation,” Journal of Maps, pp. 107–121, 2007.
- C. Wright and P. Roberg, “The conceptual structure of traffic jams,” Transport Policy, vol. 5, no. 1, pp. 23–35, 1998.
- C. Wright and P. Roberg-Orenstein, “Simple models for traffic jams and congestion control,” Proceedings of the Institution of Civil Engineers, vol. 135, no. 3, pp. 123–130, 1999.
- M. Ben-Akiva, M. Bierlaire, D. Burton, H. N. Koutsopoulos, and R. Mishalani, “Network state estimation and prediction for real-time transportation management applications,” Networks and Spatial Economics, vol. 1, no. 3-4, pp. 293–318, 2001.
- H. S. Mahmassani, “Dynamic network traffic assignment and simulation methodology for advanced systems management applications,” Networks and Spatial Economics, vol. 1, no. 3-4, pp. 267–292, 2001.
- C. Antoniou, M. Ben-Akiva, and H. N. Koutsopoulos, “Dynamic traffic demand prediction using conventional and emerging data sources,” IEE Proceedings, vol. 153, no. 1, pp. 97–104, 2006.
- T. G. Oketch, “New modeling approach for mixed-traffic streams with nonmotorized vehicles,” Transportation Research Record, no. 1705, pp. 61–69, 2000.
- Y. Lin and H. B. Song, “DynaCHINA: specially built real time traffic prediction system for China,” in Proceedings of the 86th Annual Transportation Research Board Meeting, Washington, DC, USA, 2007.
- S.-B. Li, Z.-Y. Gao, Y. Lin et al., “Real-time path searching algorithm for large traffic network,” Journal of Transportation Systems Engineering and Information Technology, vol. 9, no. 5, pp. 141–147, 2009.
- S. B. Li, J. J. Wu, Z. Y. Gao, Y. Lin, and B. B. Fu, “Bi-dynamic analysis of traffic congestion and propagation based on complex network,” Acta Physica Sinica, vol. 60, no. 5, Article ID 050701, 2011.
- Highway Capacity Manual, 1994.
- M. Ben-Akiva, “Development of a deployable real-time dynamic traffic assignment system,” Evaluation Report (Part A): Evaluation of Estimation and Prediction Capabilities, Massachusetts Institute of Technology, 2003.
- M. Ben-Akiva, “Development of a deployable real-time dynamic traffic assignment system,” Evaluation Report (Part B): Planning Functionality (DynaMIT-P) and Applications, Massachusetts Institute of Technology, 2003.