01551709

Component

The current study investigated a new source of driving data to be studied for identifying factors that lead to crashes. Today, numerous commercial vehicle fleets, transit fleets, and personal vehicles use onboard safety monitoring (OBSM) systems to monitor and improve driving behavior. Data from these video-based OBSM systems could be used by researchers to learn more about crash genesis and address some of the limitations inherent in post-crash reconstruction. This study created a data directory of common data elements in the Large Truck Crash Causation Study (LTCCS), commercially available, video-based OBSM systems, and other public sources to be used together to provide researchers with more valid and reliable information on crash genesis. Analysis determined that approximately half of all 802 variables in the LTCCS codebook could be captured using video-based OBSM systems and related information. In addition, almost 30% of the variables were labeled as “MAYBE”, meaning they could be obtained dependant on the situation. In the actual LTCCS, only 75% of the total variables were coded with data and 48% of the variables had the option to be coded as “unknown.” Based on the results in the current report, it appears the use of OBSM systems and other data sources could yield a similar amount of data as that obtained by data analysts in the LTCCS.

This paper was sponsored by TRB committee ANB70 Truck and Bus Safety.

01550057

15-3245

English

12p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Crash causes; Crash data; Driver monitoring; Driver support systems; Heavy duty trucks

Highways; Motor Carriers; Safety and Human Factors; I80: Accident Studies

Transportation Research Board Annual Meeting 2015 Paper #15-3245

TRIS, TRB, ATRI

Dec 30 2014 1:05PM