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.
Calibrating car-following parameters for snowy road conditions in the microscopic traffic simulator VISSIM
IET Intelligent Transport Systems ; 7 , 1 ; 114-121
2013-03-01
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
road capacity , snowy road conditions , signal timing optimisation , automated highways , car-following parameter calibration , microscopic traffic simulator , speed adaptation , simulation model output , start-up delays , VISSIM , road traffic , traffic engineering computing , car-following behaviour , signalised intersection , digital simulation , traffic management strategies , automobiles , calibration , saturation flow rates , adverse weather conditions
Metadata by IET is licensed under CC BY 3.0
Wiley | 2013
|Microscopic Traffic Flow Simulator VISSIM
Springer Verlag | 2010
|A video-based approach to calibrating car-following parameters in VISSIM for urban traffic
DOAJ | 2016
|Calibrating Vissim to Analyze Delay at Signalized Intersections
Transportation Research Record | 2017
|Calibrating VISSIM for the German Highway Capacity Manual
Transportation Research Record | 2015
|