Quantifying the predictability of human mobility using geotagged tweets that are free of spatial boundaries.
The present study revealed the context-adaptive support information from the perspective of truck drivers; their perceptions of in-vehicle information contents priority in 6 typical driving contexts.
Driver response behavior patterns towards two alarm timings, in car-following scenarios with different traffic density. Data from 32 participants in China and 30 participants in Sweden were collected using a driving simulator.
A real-time detection algorithm for driver cognitive distraction by using support vector machine (SVM). Data are collected from 26 subjects, driving in typical urban and highway scenarios in a simulator.
An enhanced classification method to recognize lane change maneuver by using optimized features exclusively extracted from vehicle state and driver operation signals.
The impact of driver cognitive distraction on vehicle performance at stop-controlled intersections