Lane changes are critical maneuvers on roadways. The maneuvers affect the safety gap between vehicles and may adversely affect automated vehicle operations and safety. Though previous researchers have developed several models to capture lane change behavior, few studies have comprehensively analyzed lane change under natural settings. This paper presents an exploratory lane change model based on the Shanghai Naturalistic Driving Study (SH-NDS). Using 5,339 lane change events extracted from SH-NDS, a gap acceptance and a lane change duration model were developed to give a new insight into lane change decision-making and execution process. Results show that road type, weather, light conditions, relative speed, and surrounding vehicle’s acceleration are crucial factors that might influence drivers’ gap acceptance, though lane change duration is mainly affected by absolute speed and longitudinal gap between vehicles. This study can extend the exploration and development of lane change behavior and its applications.
Modeling Lane Change Gap Acceptance and Duration Using Shanghai Naturalistic Driving Data
18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China
CICTP 2018 ; 1918-1927
02.07.2018
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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