Disbro, J. E., & Frame, M. (1989). Traffic flow theory and chaotic behavior (Report No. Special report 91). New York (State). Dept. of Transportation. https://rosap.ntl.bts.gov/view/dot/15604
Disbro, J. E. and M. Frame. Traffic flow theory and chaotic behavior. Report no. Special report 91. New York (State). Dept. of Transportation, 1989. https://rosap.ntl.bts.gov/view/dot/15604.
Disbro, J. E., and M. Frame Traffic flow theory and chaotic behavior. New York (State). Dept. of Transportation, 1989, Report no. Special report 91, ROSA P. https://rosap.ntl.bts.gov/view/dot/15604.
Many commonly occurring natural systems are modeled with mathematical experessions and exhibit a certain stability. The inherent stability of these equations allows them to serve as the basis for engineering predictions. More complex models, such as those for modeling traffic flow, lac stability and thus require considerable care when used as a basis for prediction. In 1960, Gazis, Herman, and Rothery introduced their generalized car-follow (or GHR) equation for modeling traffic flow. Experience has shown that this equation may not be continuous for the entire range of input parameters. This paper describes chaotic behavior and briefly discussed the methodology of the algorithm used to detect its presence in the GHR equation. It also discussed two systems modeled with GHR equation and their associated chaotic properties.
Disbro, J. E., & Frame, M. (1989). Traffic flow theory and chaotic behavior (Report No. Special report 91). New York (State). Dept. of Transportation. https://rosap.ntl.bts.gov/view/dot/15604
Disbro, J. E. and M. Frame. Traffic flow theory and chaotic behavior. Report no. Special report 91. New York (State). Dept. of Transportation, 1989. https://rosap.ntl.bts.gov/view/dot/15604.
Disbro, J. E., and M. Frame Traffic flow theory and chaotic behavior. New York (State). Dept. of Transportation, 1989, Report no. Special report 91, ROSA P. https://rosap.ntl.bts.gov/view/dot/15604.
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