- 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 320943, 7 pages
Individual Subjective Initiative Merge Model Based on Cellular Automaton
1Pohl Institute of Solid State Physics, Tongji University, Shanghai 200092, China
2Key Laboratory of Road and Traffic Engineering, Tongji University, Shanghai 201804, China
Received 2 August 2012; Revised 2 January 2013; Accepted 3 January 2013
Academic Editor: Wuhong Wang
Copyright © 2013 Yin-Jie Xu 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.
- A. Tarko, S. Kanipakapatman, and J. Wasson, “Modeling and optimization of the Indiana Lane merge control system on approaches to freeway work zones,” Final Report FHWA/IN/JTRP-97/12, Purdue University, West Lafayette, Ind, USA, 1998.
- P. T. McCoy, G. Pesti, and P. S. Byrd, “Alternative information to alleviate work zone related delays,” SPR-PL-1 SPR-PL-1(35) P513, University of Nebraska-Lincoln, 1999.
- G. Pesti, D. R. Jessen, P. S. Byrd, and P. T. McCoy, “Traffic flow characteristics of the late merge work zone control strategy,” Transportation Research Record, no. 1657, pp. 1–9, 1999.
- C. H. Walters, V. J. Pezoldt, K. N. Womack, S. A. Cooner, and B. T. Kuhn, “Understanding road rage: summary of first-year project activities,” Tech. Rep. TX-01/4945-1, Texas Transportation Institute, 2000.
- A. Tarko and S. Venugopal, “Safety and capacity evaluation of the Indiana lane merge system,” FHWA/iN/JTRP/-2000/19, Purdue University, West Lafayette, Ind, USA, 2001.
- T. Datta, K. Schattler, P. Kar, and A. Guha, “Development and Evaluation of an advanced dynamic lane merge traffic control system for 3 to 2 lane transition areas in work zones,” Report RC-1451, Michigan Department of Transportation, 2004.
- A. G. Beacher, M. D. Fontaine, and N. J. Garber, “Field evaluation of late merge traffic control in work zones,” Transportation Research Record, no. 1911, pp. 33–41, 2005.
- A. G. Beacher, M. D. Fontaine, and N. J. Garber, “Guidelines for using late merge traffic control in work zones: results of a simulation-based study,” Transportation Research Record, no. 1911, pp. 42–50, 2005.
- S. Ishaka, Y. Qi, and P. Rayaproluc, “Safety evaluation of joint and conventional lane merge configurations for freeway work zones,” Traffic Injury Prevention, vol. 13, no. 2, pp. 199–208, 2012.
- N. Yang, G. L. Chang, and K. P. Kang, “Simulation-based study on a lane-based signal system for merge control at freeway work zones,” Journal of Transportation Engineering, vol. 135, no. 1, pp. 9–17, 2009.
- K. P. Kang and G. L. Chang, “Lane-based dynamic merge control strategy based on optimal thresholds for highway work zone operations,” Journal of Transportation Engineering, vol. 135, no. 6, pp. 359–370, 2009.
- S. Wolfram, Theory and Applications of Cellular Automata, World Scientific, Singapore, 1986.
- S. Wolfram, A New Kind of Science, Wolfram Media, Champaign, Ill, USA, 2002.
- K. Nagel and M. Schreckenberg, “A cellular automaton model for freeway traffic,” Journal de Physique, vol. 2, no. 12, pp. 2221–2229, 1992.
- N. Duffield, C. Lund, and M. Thorup, “Estimating flow distributions from sampled flow statistics,” IEEE/ACM Transactions on Networking, vol. 13, no. 5, pp. 933–946, 2005.
- W. H. Wang, W. Zhang, H. W. Guo, H. Bubb, and K. Ikeuchi, “A safety-based behavioural approaching model with various driving characteristics,” Transportation Research C, vol. 19, no. 6, pp. 1202–1214, 2011.
- W. Wang, F. Hou, H. Tan, and H. Bubb, “A framework for function allocations in intelligent driver interface design for comfort and safety,” International Journal of Computational Intelligence Systems, vol. 3, no. 5, pp. 531–541, 2010.