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Instrumented vehicles are key tools for in-depth understanding of drivers' behaviours, thus for the design of scientifically based countermeasures to reduce fatalities and injuries.
The results of this study enrich current knowledge and understanding of drivers' behavior and their interaction with pedestrians, especially with studying the effects of scenario variables that were not addressed before; this would help planners propose and evaluate safety measures and traffic calming techniques to reduce the risks on pedestrians.
The survey, as part of the mixed design, enhanced the understanding of drivers and the underlying processes of social change.
Combining it with other data sources, such as SR, can improve the validity and reliability of the data and enhance our understanding of drivers' behavior and risks.
Its goal is to bring together viewpoints of key agents for some better understanding of drivers and forces that shape the middle- and the long term future, in order to elaborate informed strategic visions or action plans.
The main implications of our research for practical measures aimed at increasing traffic safety include a better understanding of drivers' risk behaviour as an entity broken down into three distinct classes which are likely to involve different underlying psychological processes.
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Measuring driver workload is of great significance for improving the understanding of driver behaviours and supporting the improvement of advanced driver assistance systems technologies.
One type of countermeasure, active safety systems, requires a deep understanding of driver behaviour to be effective without being annoying.
A precision genomic medicine approach is dependent on an enhanced understanding of driver mutations in each subtype and stratification of patients according to their genetic drivers.
Driving simulators are used in a wide range of research settings to help develop an understanding of driver behavior in complex environments.
The goal of our research project is to increase understanding of driver steering behavior; through a measuring and modeling approach we aim to extend the validity of McRuer et al.'s crossover model for compensatory tracking to curve driving tasks.
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CEO of Professional Science Editing for Scientists @ prosciediting.com