• DATVF.ATLPHL
    1.693
    0.095
    5.9%
  • DATVF.VWU
    1.481
    -0.018
    -1.2%
  • DATVF.VSU
    1.263
    -0.004
    -0.3%
  • DATVF.SEALAX
    1.098
    0.090
    8.9%
  • DATVF.VNU
    1.422
    -0.004
    -0.3%
  • DATVF.CHIATL
    1.955
    -0.051
    -2.5%
  • DATVF.VEU
    1.523
    0.012
    0.8%
  • DATVF.PHLCHI
    0.920
    -0.008
    -0.9%
  • DATVF.LAXSEA
    1.863
    -0.126
    -6.3%
  • DATVF.DALLAX
    0.955
    0.043
    4.7%
  • DATVF.LAXDAL
    1.571
    -0.050
    -3.1%
  • ITVI.USA
    9,574.830
    18.340
    0.2%
  • OTRI.USA
    5.530
    0.150
    2.8%
  • OTVI.USA
    9,569.370
    17.090
    0.2%
  • TLT.USA
    2.580
    0.010
    0.4%
  • WAIT.USA
    150.000
    0.000
    0%
  • DATVF.ATLPHL
    1.693
    0.095
    5.9%
  • DATVF.VWU
    1.481
    -0.018
    -1.2%
  • DATVF.VSU
    1.263
    -0.004
    -0.3%
  • DATVF.SEALAX
    1.098
    0.090
    8.9%
  • DATVF.VNU
    1.422
    -0.004
    -0.3%
  • DATVF.CHIATL
    1.955
    -0.051
    -2.5%
  • DATVF.VEU
    1.523
    0.012
    0.8%
  • DATVF.PHLCHI
    0.920
    -0.008
    -0.9%
  • DATVF.LAXSEA
    1.863
    -0.126
    -6.3%
  • DATVF.DALLAX
    0.955
    0.043
    4.7%
  • DATVF.LAXDAL
    1.571
    -0.050
    -3.1%
  • ITVI.USA
    9,574.830
    18.340
    0.2%
  • OTRI.USA
    5.530
    0.150
    2.8%
  • OTVI.USA
    9,569.370
    17.090
    0.2%
  • TLT.USA
    2.580
    0.010
    0.4%
  • WAIT.USA
    150.000
    0.000
    0%
NewsSONAR Release Notes

FreightWaves releases violations data in SONAR

Image: SONAR Out of Service violations in Maryland

With the ELD mandate occurring in April of 2018, it is increasingly important to monitor the impact of safety violations to freight networks. That is why we have decided to add violation data collected by the FMCSA from roadside inspections to provide additional safety and risk information in SONAR. We have released the following data with corresponding index values:

Total violations – VIO

Total violations per 1000 highway miles – VIOH

Total out of service violations – OOS

Total out of service violations per 1000 highway miles – OOSH

Each data point is available on a state level granularity. An example ticker for out of service violations in Arkansas would be OOS.AR.

 Image: SONAR showing a chart of the number of violations that resulted in a driver going out of service.
Image: SONAR showing a chart of the number of violations that resulted in a driver going out of service.

Example violations would be operating a commercial vehicle without a CDL or false report of drivers record of duty status.

This data pairs well with the accident data that was released last week on a state granularity. Carriers, brokers, and shippers can now get a more complete view of how safe it is to operate in certain areas of the country and make the appropriate adjustments.  

 


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