Properties of a microscopic heterogeneous multi-anticipative traffic flow model.

Author(s)
Hoogendoorn, S.P. Ossen, S. & Schreuder, M.
Year
Abstract

Realistic models describing the car-following task are important for many applications. It is shown that multi-anticipative car-following behaviour cannot be described by one general car-following modelling paradigm: different classes of multi-anticipative car-following models are needed to correctly describe inter-driver differences in car-following, or that drivers may drive in different driving regimes. Based on variability in the parameter estimates for each considered model class, it is shown that differences between drivers whose behaviour can be described by the same model class are also large. From this it is concluded that the extent in which drivers react to the second and third leader can vary substantially between drivers. It is also concluded that differences in driver reaction times are also substantial. Based on the estimation results, a new heterogeneous (or mixed-model) modelling approach is proposed that includes the features identified from analysing the trajectory data. The model also includes the different modelling types required from a statistical point of view to correctly describe individual driving behaviour. One of the main contributions of the work presented is the insight gained of the macroscopic characteristics of the stochastic multi-anticipative car-following model. It is shown that the estimated model is asymptotically stable. It is also shown that part of the scatter in the fundamental diagram can be explained by the modelled inter-driver differences. For the covering abstract see ITRD E144727.Reprinted by permission of Elsevier

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Publication

Library number
C 48425 (In: C 48400) /71 /83 / ITRD E144879
Source

In: Transportation and traffic theory 2007 : papers selected for presentation at the 17th International Symposium on Transportation and Traffic Theory (ISTTT17), held at the Institution of Mechanical Engineers, London, UK from July 23 - 25, 2007, p. 583-606, 18 ref.

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