Analysis of SHRP2 Data to Understand Normal and Abnormal Driving Behavior in Work Zones
Report, 2019
Principal components analysis (PCA) was used to summarize kinematic data into “normal” and “abnormal”driving. Each second of driving is described by one point in three-dimensional principal component (PC) space;an ellipse containing the bulk of baseline points is considered “normal” driving. Driving segments without-of-ellipse points have a higher probability of being an SCE. Matched case-control analysis indicates that thespecific individual and traffic flow made approximately equal contributions to predicting out-of-ellipse driving.
Structural Topics Modeling (STM) was used to analyze complex categorical data obtained from annotated videos.The STM method finds “words” representing categorical data variables that occur together in many events and describes these associations as “topics.” STM then associates topics with either baselines or SCEs. The STM produced 10 topics: 3 associated with SCEs, 5 associated with baselines, and 2 that were neutral. Distractionoccurs in both baselines and SCEs.
Both approaches identify the role of individual drivers in producing situations where SCEs might arise. A countermeasure could use the PC calculation to indicate impending issues or specific drivers who may havehigher crash risk, but not to employ significant interventions such as automatically braking a vehicle without-of-ellipse driving patterns. STM results suggest communication to drivers or placing compliant vehicles in thetraffic stream would be effective. Finally, driver distraction in work zones should be discouraged.
Work zones
crashes
data analysis
safety
topic model
statistics
methodology
Author
Carol A. Flannagan
University of Michigan
Selpi Selpi
Crash Analysis and Prevention
Pinar Boyraz Baykas
Crash Analysis and Prevention
Andrew Leslie
University of Michigan
Jordanka Kovaceva
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety
Robert Thomson
Injury Prevention
Analysis of SHRP2 Data to Understand Normal and Abnormal Driving Behavior in Work Zones: Phase II
Federal Highway Administration (FHWA) (SHRP2 F041662), 2017-06-01 -- 2019-05-31.
Driving Forces
Sustainable development
Areas of Advance
Transport
Subject Categories
Probability Theory and Statistics
Computer Science