01519618

Component

Owing to more severe result and wider effect range, lane-changing collision has become an important type of traffic accident over the past decades. Majority of past studies focused on modeling lane-changing collision based on vehicular kinematic theory, few studies considered intrinsic interactions between lane-changing collisions and explanatory variables. To fill up the gap, a microscopic model for freeway lane-changing collision is developed based on the interaction between lane-changing vehicles under the influence of relevant factors to better capture the relationship among drivers’ attributes, roadway and environmental factors, and lane-changing collisions. The model applies a new inter-vehicle interaction structure to account for the probability when a leading vehicle in the target lane becomes an obstacle P sub o, the probability of failure to avoid a collision with the obstacle vehicle P sub f, and the probability of a desired lane-changing be completed P sub s. This model was validated using data collected from Washington freeways from 2002 to 2006. Findings of this study show that generalized traffic volume, speed limit, lighting condition, and number of lanes have significant decreasing effects on lane-changing collisions risk, whereas generalized truck percentage and roadway width hold significant increasing effects on it. Understanding such factors impacts is important for selecting and evaluating safety improvement plans for freeway design and operations.

This paper was sponsored by TRB committee AHB45 Traffic Flow Theory and Characteristics.

01503729

14-4876

English

16p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Lane changing; Microscopic traffic flow; Multiple vehicle crashes; Probability; Traffic lanes; Trucks; Width

Washington (State)

Highways; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning; I82: Accidents and Transport Infrastructure; I83: Accidents and the Human Factor

Transportation Research Board Annual Meeting 2014 Paper #14-4876

TRIS, TRB, ATRI

Jan 27 2014 3:42PM