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Discrete Dynamics in Nature and Society
Volume 2012 (2012), Article ID 287502, 16 pages
Using Cellular Automata to Investigate Pedestrian Conflicts with Vehicles in Crosswalk at Signalized Intersection
MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
Received 1 August 2012; Accepted 18 October 2012
Academic Editor: Bo Yang
Copyright © 2012 Xiaomeng 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.
- D. Y. Zhang, Road Traffic Safety Management Evaluation System, People's Traffic Press, Beijing, China, 2005.
- S. R. Perkins and J. I. Harris, Traffic Conflict Characteristics: Accident Potential at Intersections, Highway Research Record No. 225, Traffic Safety and Accident Research, 1968, 6 Reports.
- F. Amundson and C. Hyden, in Proceedings of the 1st Workshop on Traffic Conflicts, Institute of Economics, Oslo, Norway, 1977.
- E. Hauer, “Traffic conflicts and exposure,” Accident Analysis and Prevention, vol. 14, no. 5, pp. 359–364, 1982.
- E. Hauer, Observational before-after Studies in Road Safety, Pergamon, Oxford, UK, 1997.
- P. Cooper, “Experience with traffic conflicts in canada with emphasis on post encroachment time techniques,” in International Study of Traffic Conflict Techniques, E. Asmussen, Ed., pp. 75–96, Springer, 1984.
- D. Migletz, W. Glauz, and K. Bauer, “Relationships between traffic conflicts and accidents,” Report FHWA/RD-84/042, Federal Highway Administration, Washington, DC, USA, 1985.
- M. Ben-Akiva and S. R. Lerman, Discrete Choice Analysis: Theory and Application to Travel Demand, The MIT Press, Cambridge, Mass, USA, 1985.
- J. M. Cassidy, S. M. Madanat, M. Wang, and F. Yang, “Unsignalized intersection capacity and level of service: revisiting critical gap,” Transportation Research Record 1484, TRB, National Research Council, Washington, DC, USA, 1995.
- H. Mahmassani and Y. Sheffi, “Using gap sequences to estimate gap acceptance functions,” Transportation Research B, vol. 15, no. 3, pp. 143–148, 1981.
- L. P. Gao, M. J. Liu, and J. Feng, “Delay modeling of Ped-Veh system based on pedestrian crossing at signalized intersection,” in Proceedings of the 8th International Conference on Traffic and Transportation Studies Changsha (ICTTS '12), Beijing, China, 2012.
- J. Y. S. Lee and W. H. K. Lam, “Simulating pedestrian movements at signalized crosswalks in Hong Kong,” Transportation Research Part A, vol. 42, no. 10, pp. 1314–1325, 2008.
- W. K. M. Alhajyaseen, M. Asano, and H. Nakamura, “Estimation of left-turning vehicle maneuvers for the assessment of pedestrian safety at intersections,” IATSS Research, vol. 36, no. 1, pp. 66–74, 2012.
- H. W. Kruysse, “The subjective evaluation of traffic conflicts based on an internal concept of dangerousness,” Accident Analysis and Prevention, vol. 23, no. 1, pp. 53–65, 1991.
- A.-W. Zheng, J.-Z. Guo, and Z.-M. Niu, “Analysis of traffic conflicting and the influence factors,” Journal of Wuhan University of Science and Technology, vol. 25, no. 4, p. 367, 2002 (Chinese).
- G. Q. Zhang, “Determination of the severity of traffic conflict at highway intersections,” Journal of Hefei University of Technology, vol. 31, no. 5, pp. 683–686, 2008 (Chinese).
- G. Tiwari, D. Mohan, and J. Fazio, “Conflict analysis for prediction of fatal crash locations in mixed traffic streams,” Accident Analysis and Prevention, vol. 30, no. 2, pp. 207–215, 1998.
- Q. Fang and Z. Wu, “Prediction of traffic conflict at intersection based on gray control theory,” Communications Standardization, vol. 6, pp. 174–177, 2008 (Chinese).
- W. Cheng and G. Y. Wang, “Prediction of traffic conflicts at intersection based on adaptive neural-fuzzy inference system,” Journal of Highway and Transportation Research and Development, vol. 22, no. 7, pp. 115–117, 2005 (Chinese).
- T. M. Mohammed, Development of a conflict rate prediction model at non-signalized intersections [Ph.D. thesis], University of South Florida, 2003.
- E. Hauer and P. Garder, “Research into the validity of the traffic conflicts technique,” Accident Analysis and Prevention, vol. 18, no. 6, pp. 471–481, 1986.
- T. Zhu, Y. Bai, and X. G. Yang, “Failure analysis on safety assessment method for traffic conflicts at level crossing and its improvement,” China Safety Science Journal, vol. 18, no. 2, pp. 157–161, 2008 (Chinese).
- P. Gårder, “Pedestrian safety at traffic signals: a study carried out with the help of a traffic conflicts technique,” Accident Analysis and Prevention, vol. 21, no. 5, pp. 435–444, 1989.
- D. Helbing, R. Jiang, and M. Treiber, “Analytical investigation of oscillations in intersecting flows of pedestrian and vehicle traffic,” Physical Review E, vol. 72, no. 4, Article ID 046130, 2005.
- P. G. Gipps and B. Marksjö, “A micro-simulation model for pedestrian flows,” Mathematics and Computers in Simulation, vol. 27, no. 2-3, pp. 95–105, 1985.
- K. Nagel and M. Schreckenberg, “A cellular automaton model for freeway traffic,” Journal of Physique, vol. 2, no. 12, pp. 2221–2228, 1992.
- K. Nagel and S. Rasmussen, “Traffic at the edge of chaos,” in Proceedings of the 4th International Workshop on the Synthesis and Simulation of Living Systems Artificial Life IV, pp. 222–225, 1994.
- M. Rickert, K. Nagel, M. Schreckenberg, and A. Latour, “Two-lane traffic simulations using cellular automata,” Los Alamos Unclassified Report 95:4367, Los Alamos National Laboratory, Los Alamos, NM, USA, 1996.
- M. Rickert, K. Nagel, M. Schreckenberg, and A. Latour, “Two-lane traffic simulations using cellular automata,” Physica A, vol. 231, p. 534, 1995.
- V. J. Blue, M. J. Embrechts, and J. L. Adler, “Cellular automata modeling of pedestrian movements,” in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, vol. 3, pp. 2320–2323, October 1997.
- S. Maerivoet and B. De Moor, “Cellular automata models of road traffic,” Physics Reports, vol. 419, no. 1, pp. 1–64, 2005.
- V. J. Blue and J. L. Adler, “Cellular automata microsimulation for modeling bi-directional pedestrian walkways,” Transportation Research B, vol. 35, no. 3, pp. 293–312, 2001.
- K. Yamamoto, S. Kokubo, and K. Nishinari, “Simulation for pedestrian dynamics by real-coded cellular automata (RCA),” Physica A, vol. 379, no. 2, pp. 654–660, 2007.
- C. Burstedde, K. Klauck, A. Schadschneider, and J. Zittartz, “Simulation of pedestrian dynamics using a two-dimensional cellular automaton,” Physica A, vol. 295, no. 3-4, pp. 507–525, 2001.
- W. G. Weng, T. Chen, H. Y. Yuan, and W. C. Fan, “Cellular automaton simulation of pedestrian counter flow with different walk velocities,” Physical Review E, vol. 74, no. 3, Article ID 036102, 2006.
- D. Chowdhury, L. Santen, and A. Schadschneider, “Statistical physics of vehicular traffic and some related systems,” Physics Reports, vol. 329, no. 4–6, pp. 199–329, 2000.
- B. Chopard and A. Masselot, “Cellular automata and lattice Boltzmann methods: a new approach to computational fluid dynamics and particle transport,” Future Generation Computer Systems, vol. 16, no. 2, pp. 249–257, 1999.
- E. F. Codd, Cellular Automata, Academic Press, New York, NY, USA, 1968.
- M. Gardner, “Mathematical games-the fantastic combinations of John Conway's new solitaire game, ‘Life’,” Scientific American, vol. 223, pp. 120–123, 1970.
- M. Cremer and J. Ludwig, “A fast simulation model for traffic flow on the basis of boolean operations,” Mathematics and Computers in Simulation, vol. 28, no. 4, pp. 297–303, 1986.
- D. Helbing and T. Vicsek, “Optimal self-organization,” New Journal of Physics, vol. 1, pp. 13.1–13.17, 1999.
- I. Karafyllidis and A. Thanailakis, “A model for predicting forest fire spreading using cellular automata,” Ecological Modelling, vol. 99, no. 1, pp. 87–97, 1997.
- K. Nagel and E. Raschke, “Self-organizing criticality in cloud formation?” Physica A, vol. 182, no. 4, pp. 519–531, 1992.
- S. Gobron and N. Chiba, “Crack pattern simulation based on 3D surface cellular automata,” Visual Computer, vol. 17, no. 5, pp. 287–309, 2001.
- K. Nishinari, D. Chowdhury, and A. Schadschneider, “Cluster formation and anomalous fundamental diagram in an ant-trail model,” Physical Review E, vol. 67, no. 3, Article ID 036120, 2003.
- L. Yang, W. Fang, R. Huang, and Z. Deng, “Occupant evacuation model based on cellular automata in fire,” Chinese Science Bulletin, vol. 47, no. 17, pp. 1484–1488, 2002.
- D. F. Preusser, W. A. Leaf, K. B. DeBartolo, R. D. Blomberg, and M. M. Levy, “The effect of right-turn-on-red on pedestrian and bicyclist accidents,” Journal of Safety Research, vol. 13, no. 2, pp. 45–55, 1982.
- J. Autey, T. Sayed, and M. H. Zaki, “Safety evaluation of right-turn smart channels using automated traffic conflict analysis,” Accident Analysis & Prevention, vol. 45, pp. 120–130, 2012.
- Y. Ni and K. P. Li, “Dealing with conflict between pedestrian and right turning vehicle in signalized intersection,” Computer and Communications, vol. 25, no. 1, pp. 22–26, 2007 (Chinese).
- E. Brockfeld, R. Barlovic, A. Schadschneider, and M. Schreckenberg, “Optimizing traffic lights in a cellular automaton model for city traffic,” Physical Review E, vol. 64, no. 5, Article ID 056132, 2001.
- O. Biham, A. A. Middleton, and D. Levine, “Self-organization and a dynamical transition in traffic-flow models,” Physical Review A, vol. 46, no. 10, pp. R6124–R6127, 1992.
- D. Chowdhury and A. Schadschneider, “Self-organization of traffic jams in cities: effects of stochastic dynamics and signal periods,” Physical Review E, vol. 59, no. 2, pp. R1311–R1314, 1999.