Fig 1.
Vehicle collision distance-time-velocity diagram.
Fig 2.
Methodology framework.
Fig 3.
API module application flowchart.
Fig 4.
SDK module application flowchart.
Fig 5.
Descriptions of distance-time-velocity relationship in the four situations in the rear-end collision model.
Table 1.
Result matrix—vehicle rear-end collision probability on a certain segment in a certain simulation cycle.
Fig 6.
Aimsun interface of the simulated section.
Table 2.
Example of data for determining risk thresholds.
Risk data from moderate traffic condition (Volume: 1500 veh/h).
Table 3.
Largest cluster center with different cluster number.
Fig 7.
Largest cluster center value (VC) with different cluster number for different volume conditions.
Table 4.
Results of cluster centers.
Table 5.
The number of high-risk status before and after adding vehicle violations for different traffic conditions.
Fig 8.
Comparisons of different types of violation.
Fig 9.
Influence of violation under different traffic volume.
Fig 10.
Space-time diagram under different traffic condition with no violations.
Fig 11.
Space-time diagram of traffic flow risk for different violation types.