At freeway interchange diverging areas, traffic conflicts are caused directly by driving behaviors. This study aimed to investigate the correlation between traffic conflicts and driving behaviors, which include acceleration/deceleration and lane changing at diverging areas based on Chinese cases. Principal component analysis was used to make a dimension reduction of the parameters that influence traffic conflicts. The Bayesian network was used to construct a correlation model between parameters and traffic conflicts in diverging area. A significant correlation existed between the lane-changing position and the traffic conflicts, which were located within 600 m from the beginning of the diverging area and the first 60 m of the deceleration area. A significant correlation existed between acceleration/deceleration and the traffic conflict. Deceleration and lane-changing behavior are the main factors that affect traffic conflicts. The research provided useful advice for driver training programs to reduce casualties and a basis for the active prevention of accidents.
Correlation Analysis of Traffic Conflicts and Driving Behaviors at Interchange Diverging Areas
19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China
CICTP 2019 ; 435-447
2019-07-02
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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