United States Department of Transportation
i
Performance Assessment of an Onboard Monitoring System for Commercial Motor Vehicle Drivers: A Field Operational Test
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2016-11-01
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[PDF-2.29 MB]
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Abstract:The onboard monitoring system (OBMS) field operational test (FOT) was conducted to determine whether onboard monitoring systems that provide real-time performance feedback to commercial truck and motorcoach drivers could reduce the number of safety-critical events (SCEs) experienced over time and improve drivers’ overall safety performance. This report documents the field test experience with four operational fleets (two trucking fleets and two motorcoach fleets), including 156 OBMS-instrumented vehicles and 317 commercial drivers. Fleet-level and driver-level analyses were adopted to examine the research questions on driver performance and safety. In the driver-level approach, binary logit regression and repeated measures analysis of variance (ANOVA) were used to examine the effects of phase, carrier type, and study group on the SCE rate. The fleet-level approach examined the reduction in event rates from baseline to intervention/withdrawal phase using a cumulative binomial distribution. Under most scenarios, findings from both approaches were similar, suggesting that onboard monitoring helped to reduce critical event rates. The effectiveness of onboard monitoring was dependent on the carrier and the coaching received. Drivers’ responses to questionnaires were also analyzed to examine changes over time in their attitudes toward onboard monitoring. In general, feedback group drivers were mostly ambivalent (i.e., “neutral”) with regard to the usefulness of OBMSs. Control group drivers and safety managers tended to have higher opinions of the systems. An additional analysis, focusing on intervention and pre-intervention phases, was conducted to assess the effect of OBMSs on fleet safety, using crash and mileage data collected from the fleets and negative binomial regression methods. The findings showed that there were significant differences in crash rate estimates for Fleet H across the study phases.
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