Fig 1.
The road section of us-101.
Table 1.
Basic information of NIGSIM data.
Fig 2.
Vehicle braking process.
Table 2.
Driving style evaluation index.
Fig 3.
Principal component contribution rate and cumulative contribution rate.
Table 3.
Principal component score coefficient matrix.
Fig 4.
Relationship between cluster number and SSE.
Fig 5.
Driving style recognition results.
Table 4.
Bayesian network node variables and their discrete values.
Table 5.
Node variable symbol correspondence.
Fig 6.
DAG structure matrix.
Fig 7.
Bayesian network structure diagram.
Fig 8.
Bayesian network model after learning with Netica software parameters.
Table 6.
CPT of node Sty.
Table 7.
Sensitivity analysis results of node Typ.
Fig 9.
Known network changes on rapid acceleration and deceleration.
Fig 10.
Network changes with known risk status.
Fig 11.
Video during normal driving time.
Fig 12.
Video of the time of risk driving.
Fig 13.
Vehicle operation risks in different time periods.