J. Asamer, H. Zuylen, B. Heilmann:
"Calibrating car-following parameters for snowy road conditions in the microscopic traffic simulator VISSIM";
IET Intelligent Transport Systems, 7(01) (2013), 7(01); S. 114 - 121.

Calibrated simulation models taking into account adverse weather conditions can be used to optimise traffic
management strategies, such as speed adaptation and signal timing optimisation. On snowy road conditions, car-following
behaviour changes because drivers tend to accelerate more slowly, increase their following distance and drive with lower
speeds. Such changes results in lower saturation flow rates at intersections. In order to simulate traffic on snowy road
conditions in a valid way, the parameters of a simulation have to be calibrated for adverse weather. This study identifies the
parameters of the car-following model in the microscopic simulator VISSIM that are sensitive to snowy road conditions and
indicates valid parameter subspaces leading to a good match of simulation model output with observed saturation flow rates
and start-up delays. In combination with green time of a signalised intersection, saturation flow rate is essential for correctly
estimating road capacity.

"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)

Erstellt aus der Publikationsdatenbank des AIT Austrian Institute of Technology.