Vehicle Driving Risk Prediction Based on Markov Chain Model
Table 1
Retrieved risk-related attributes from “100-car” NDS dataset.
Recoded data attributes
Level 1
(1) Vehicle movement parameters
Vehicle speed, acceleration, distance from the leading vehicle, rate of change in distance from the leading vehicle
Level 2
(2) Driver attributes
Driver’s driving maneuver prior to (near) accident, driver attention area, the number of secondary tasks, the highest complexity level of the secondary tasks
(3) Road attributes
Number of lanes, traffic flow density, road alignment, road longitudinal slope
