All drivers have individual ways of driving. Still, there are groups of drivers with more or less similar characteristics. In this research, 28 drivers from Chengdu city (P.R. China) participated in an experiment where car following behaviour was measured with GPS devices. In every measured trip there was a leading and following vehicle both equipped with a GPS device. Drivers are classified based on a Driver Behaviour Questionnaire and observed acceleration and deceleration behaviour. The result shows four distinct classes of drivers: macho drivers, careful/inexperienced drivers, smooth going/professional drivers, and experienced/fast drivers. Drivers in the different classes give different emission of air pollution and fuel consumption. Saturation flows are determined from the trajectories and vary between different driver types. The measured trajectories have been analysed in detail to determine some parameters for the Wiedemann 74 model. Most default parameters in the VISSIM program appear to be unsuited for the simulation of driving behaviour measured in the experiment. The emissions and fuel consumption calculated by a simulation model with default parameters are not consistent with the empirical data. The calibration done for different driver types shows that several model parameters are significantly different for the different driver classes.
Influence of driver characteristics on emissions and fuel consumption
IET Intelligent Transport Systems ; 13 , 12 ; 1770-1779
01.12.2019
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
calibration , driver information systems , default parameters , macho drivers , saturation flow , driver types , Wiedemann 74 model , driver classes , driver characteristics , acceleration behaviour , road traffic , deceleration behaviour , air pollution , Driver Behaviour Questionnaire , fuel consumption , road accidents , driving behaviour , GPS device , simulation model , vehicle dynamics , road vehicles , VISSIM program , car following behaviour
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