Drivers’ Decelerating Behaviors in Expressway Accident Segments under Different Speed Limit Schemes

Wenhui Zhang, Jing Yi, Ge Zhou and Tuo Liu
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Wenhui Zhang: School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China
Jing Yi: School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China
Ge Zhou: School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China
Tuo Liu: School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China

IJERPH, 2022, vol. 19, issue 3, 1-22

Abstract: Traffic accidents occurring on expressways tend to give rise to traffic bottlenecks. To ensure the vehicles safely and smoothly pass through the accident segments, speed limits are generally taken to regulate the vehicles’ movements. This study aims to explore the decelerating behaviors of drivers under different speed limit schemes. We designed traffic accident scenarios under four speed limit schemes using the driving simulator. A total of 60 subjects drove the simulator passing the accident segments according to their habits. The vehicles’ kinematic data and the subjects’ operating data were recorded. To further analyze the drivers’ decelerating behaviors in different speed limit scenarios, driving experience was also taken into account. The results show that the speed limit schemes have significant effects on drivers’ decelerating behaviors. The more speed limit signs there are, the smoother the decelerating process will be. Driving experience significantly affects some of the decelerating parameters, including the location of deceleration starting point, average deceleration, and locations of decelerating to the initial and final speed limits. These results provide a theoretical basis for traffic safety and driving behavior management.

Keywords: traffic accident segments; speed limit schemes; decelerating behavior; driving simulator (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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