Applying Fuzzy Set Theory to Analysis Driving Maneuver

Abstract:

The conventional statistical models have their limitations in modeling the natural human driving behavior. This may be overcome by applying fuzzy set based approach to describe drivers decisions. This paper proposes a fuzzy set based car-following model to simulate the driving maneuver. Emphasis is placed on the research undertaken to establish fuzzy sets and systems and model validation. Research results have shown that the fuzzy set application is very encouraging.

• Periodical: Applied Mechanics and Materials (Volumes 361-363)
• Pages: 2244-2248
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.361-363.2244
• Online since: August 2013
• Authors: Yong Zhou*, Ling Tian
• Keywords: Driving Maneuver, Fuzzy Set, Model Validation

References

[1] Pipes, L.A.; (1953). An operational analysis of traffic dynamics. Journal of Applied Physics, Vol. 24, No. 3, (March 1953), pp.274-281.

DOI: 10.1063/1.1721265

[2] Chandler, R.E., Herman, R. & Montroll, E.W.; (1958). Traffic dynamics: Studies in car following. Operations Research, Vol. 6, No. 2, (March 1958), pp.165-184.

DOI: 10.1287/opre.6.2.165

[3] Kometani, E. & Sasaki, T.; (1959). Dynamic behaviour of traffic with a nonlinear spacingspeed relationhip. Proceedings of the Symposium of Theory of Traffic Flow, pp.105-119, New York, USA, (1959).

[4] Michaels, R.M.; (1963). Perceptual factors in car following. Proceedings of the Second International Symposium on the Theory of Road Traffic Flow, pp.44-59, Paris, France, (1963).

[5] Wu. J., Brackstone, M., & McDonald, M.; (2000). Fuzzy sets and systems for a motorwaymicroscopic simulation model. Fuzzy Sets and Systems, Vol. 116, No. 1, (November2000), pp.65-76.

DOI: 10.1016/s0165-0114(99)00038-x

[6] T. Lotan and H. Koutsopoulos, Approximate Reasoning Models for Route Choice Behaviour in the Presence of Information, in: C.F. Daganzo Ed., Transportation and Traffic Theory. (Elsevier, 1994), 71-88.

[7] Kitagima, M. & Toyota, M.; (2012). Simulating navigation behaviour based on the architecture model Model Human Processor with Real-Time Constraints (MHP/RT). Behaviour & Information Technology, Vol. 31, No. 1, (November 2011), pp.41-58.

DOI: 10.1080/0144929x.2011.602427

[8] Sato, T., & Akamatsu, M.; (2007).

[9] Sato, T., Akamatsu, M., Zheng, P., & McDonald, M.; (2009).

[10] Sato, T, & Akamatsu, M.; (2011).