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Coordinating, Developing, and Delivering Highway Transportation Innovations

 
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Publication Number:  FHWA-HRT-15-082    Date:  December 2015
Publication Number: FHWA-HRT-15-082
Date: December 2015

 

Exploratory Advanced Research Program

VASTO - Evolutionary Agent System for Transportation Outlook

Agent-Based Modeling and Simulation in The Dilemma Zone

7 References

  1. The problem of the amber signal light in traffic flow. Gazis, D., Herman, R., and Maradudin, A. 1, Catonsville, MD: INFORMS, 1960, Operations Research, Vol. 8, pp. 112-132.

  2. An Integrated Human Decision Making Model for Evacuation Scenarios under BDI Framework. Lee, S. Son, Y.J., and Jin, J. 4, New York, NY: ACM, Inc., 2010, ACM Transactions on Modeling and Computer Simulation, Vol. 20, pp. 23:1-23:4.

  3. National Highway Traffic Safety Administration. Fatality Analysis Reporting System. [Online] [Cited: May 29, 2014.] http://www.nhtsa.gov/FARS.

  4. Design of an intersection descision support (IDS) interface to reduce crashes at rural stop-controlled intersections. Laberge, J.C., Creaser, J.I., Rakauskas, M.E., and Ward, N.J. 1, Amsterdam, Netherlands: Elsevier B.V., 2006, Transportation Research Part C: Emerging Technologies, Vol. 14, pp. 39-56.

  5. Zegeer, C.V. Effectiveness of Green-Extension Systems at High-Speed Intersections. Frankfort, KY: Kentucky Department of Transportation, Bureau of Highways, 1977.

  6. Analysis of driver behavior in dilemma zones at signalized intersections. Gates, T.J., Noyce, D.A., Laracuente, L., and Nordheim, E.V. 1, Washington, DC: Transportation Research Board, 2007, Vol. 2030, pp. 29-39.

  7. Changes in driver behavior resulting from pedestrian countdown signals. Huey, S.B., and Ragland, D. Washington, DC: s.n., 2007. Presented at the 86th Annual Meeting of the Transportation Research Board.

  8. Evaluation or red light camera enforcement in Oxnard, California. Retting, R.A., Williams, A.F., Farmer, C.M., and Feldman, A.F. 3, Amsterdam, Netherlands: Elsevier B.V., 1999, Accident Analysis & Prevention, Vol. 31, pp. 169-174.

  9. Impact of road environment on drivers' behaviors in dilemma zone: application of agent-based simulation. Kim, S., Son, Y., Chiu, Y., Jeffers, M.A.B., and Yang, C.Y.D. Amsterdam, Netherlands: Elsevier B.V., 2015, Accident Analysis & Prevention (accepted).

  10. Oehlert, G.W. A First Course in Design and Analysis of Experiments. New York: W.H. Freeman, 2000. Vol. 1.

  11. CIMSLab. Dilemma Zone Driving Simulator. YouTube. [Online] CIMSLab, September 25, 2013. [Cited: December 11, 2105.] https://www.youtube.com/watch?v=vrJiVJaZW4g.

  12. Extended DBI framework for modelling human desisionmaking in complex automated manufacturing systems. Zhao, X., and Son, Y. 3, Philadelphia, PA: Taylor and Francis Group, 2008, International Journal of Modelling & Simulation, Vol. 28, p. 347.

  13. Kraft, W. Traffic Engineering Handbook. Washington, DC: Institute of Transportation Engineers, Sixth Edition, 2009.

  14. FHWA. Manual of Uniform Traffic Control Devices. Washington, DC: Federal Highway Administration, 2009.

  15. Simulator sickness questionnaire: an enhanced method of quantifying simulator sickness. Kennedy, R., Lane, N., Berbaum, K., and Lilienthal, M. Philadelphia, PA: Taylor & Francis Group, 1993, The International Journal of Aviation Psychology, Vol. 3, pp. 203-220.

  16. Implications of dilemma zone behavior on intersection safety: a driving simulator study. Jeffers, M.A.B., Yang, C.Y.D., Kim, S., and Son, Y. Amsterdam, Netherlands: Elsevier B.V., 2015, Transportation Research Part F (submitted).

  17. Survey of decision field theory. Busemeyer, J.R., and Diedrich, A. 3, Amsterdam, Netherlands: Elsevier Science B.V., 2002, Mathematical Social Sciences, Vol. 43, pp. 345-370.

  18. Decision field theory extensions for behavior modeling in dynamic environment using Bayesian belief network. Lee, S., Son, Y.J., and Jin, J. 10, Amsterdam, Netherlands: Elsevier B.V., 2008, Information Sciences, Vol. 178, pp. 2297-2314.

  19. Ullman, J.B., and Bentler, P.M. Structural Equation Modeling. Malden: Wiley Online Library, 2003.

 

 

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