You might find that of all the variables maybe there are just one or two that contribute the most to a good vintage of winein the case of wine, temperature, rain and number of sunny days has the greatest impact on the quality of the wine. This is exactly what the fmcsa has done for the trucking industry. This basic includes violations of regulations surrounding the complete and accurate recording of log books as they relate to hos requirements and the management of cmv driver fatigue. Under the current system safestat, carriers data from roadside inspections is collected. Under the current system, a carriers safety rating rarely changes. The theory is, if they can predict that a driver is highly likely to be involved in a crash in the future based on the data, they can take action to correct the drivers behavior before it results in a crashthe 6 factors basicsunsafe driving basicoperation of cmvs in a dangerous or careless manner. Example violations failure to have a valid and appropriate commercial drivers license and being medically unqualified to operate a cmvcontrolled substances and alcohol basicoperation of cmvs by drivers who are impaired due to alcohol, illegal drugs, and misuse of prescription or overthecounter medications.

Example violations failure to have a valid and appropriate commercial drivers license and being medically unqualified to operate a cmvcontrolled substances and alcohol basicoperation of cmvs by drivers who are impaired due to alcohol, illegal drugs, and misuse of prescription or overthecounter medications. The federal motor carriers safety administration fmcsa is completely changing the way in which they monitor carriers for compliance. So now that you know this, you can build a statistical model that can predict how good a particular vintage of wine is based on a few tidbits of data that are statistically significant. If a carriers rating becomes unsatisfactory, we automatically prevent loads from being dispatched to the carrier.

Now you take all that data and run it through a statistical regression model this has been done by the way. Checking it once a year is sufficient to show due diligence. So now that you know this, you can build a statistical model that can predict how good a particular vintage of wine is based on a few tidbits of data that are statistically significant.

Theyve figured out the six factors that are statistically significant in predicting the crash likelihood of a particular driver or carrier.

This issue was in the courts recently and resulted in multimillion dollar settlements to accident victims who sued the person who contracted with carries who had poor safety ratings.

CSA 2010 |