Traffic Data and Their Implications for Consistent Traffic Flow Modeling
نویسنده
چکیده
The paper analyzes traffic data with respect to certain aspects which are relevant for traffic flow modeling as well as the calibration of model parameters and functions. Apart from the dynamic velocity distribution, the density-dependence and the temporal evolution of various, partly lane-specific quantities is investigated. The results are well compatible with recent macroscopic traffic flow models which have been derived from the dynamics of driver-vehicle units. These have also solved the inconsistencies, which previous models have been criticized for.
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تاریخ انتشار 1997