Calibrating car‐following parameters for snowy road conditions in the microscopic traffic simulator VISSIM
نویسندگان
چکیده
منابع مشابه
Paramics : Parallel Microscopic Traffic Simulator
PARAMICS is a state-of-the-art, parallel ‘microscopic’ traffic simulator, developed in a collaboration between EPCC and SIAS Ltd., for simulations of traffic congestion in large-scale road networks. Individual vehicle and driver characteristics are modelled, responding to perceived road and junction conditions. To allow traffic planners to predict and attempt to rectify potential congestion pro...
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متن کاملImpacts of Snowy Weather Conditions on Expressway Traffic Flow Characteristics
Snowy weather will significantly degrade expressway operations, reduce service levels, and increase driving difficulty. Furthermore, the impact of snow varies in different types of roads, diverse cities, and snow densities due to different driving behavior. Traffic flow parameters are essential to decide what should be appropriate for weather-related traffic management and control strategies. T...
متن کاملValidation of the Microscopic Traffic Flow Model VISSIM in Different Real-World Situations
This paper presents the possibilities of validating the microscopic traffic flow simulation model VISSIM, both on a microscopic and a macroscopic level. VISSIM implements a psycho-physical carfollowing model and thus provides a very realistic driving behavior. The complex model offers but also requires many model parameters that can be calibrated using measurement data from driving experiments....
متن کاملMethodology for the Calibration of VISSIM in Mixed Traffic
1 Mixed traffic, characterized by diverse vehicles, changing composition, lack of lane discipline, etc. is best modeled 2 by micro simulation. However, the majority of the leading micro simulation packages and their calibration 3 methodologies have been developed considering less complex homogeneous traffic. Hence, a methodology for 4 calibrating a micro simulation model for mixed traffic is pr...
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ژورنال
عنوان ژورنال: IET Intelligent Transport Systems
سال: 2013
ISSN: 1751-9578,1751-9578
DOI: 10.1049/iet-its.2011.0193