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Evaluating Alternative Operations Strategies to Improve Travel Time ...

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SHRP 2 L11: Final Report<br />

• Number of VMS signs in place<br />

• Number of calls <strong>to</strong> a 511 system<br />

• Number of events incident management systems responded <strong>to</strong> last month<br />

• Average duration of an incident management system response<br />

Outcome Measures<br />

Output measures do not report on the effect those agency actions have on overall changes in travel<br />

time or delay. Performance measures that report these conditions and that are more-readily<br />

applicable <strong>to</strong> understanding travel-time reliability are commonly called “outcome” measures.<br />

Where roadway agencies have begun reporting outcome measures, the most commonly reported<br />

measures are the following:<br />

• Total volume served<br />

• Truck volumes served<br />

• Mean travel time experienced<br />

• Buffer Index<br />

• Planning <strong>Time</strong> Index<br />

• <strong>Travel</strong>-time Index<br />

• On-time percentage<br />

Current Performance Measures for Freight Movers<br />

Many states are moving forward with developing roadway performance measures specifically<br />

targeted for freight. The truck-oriented freight performance measures most frequently used by<br />

states are roadway-based volume or usage statistics such as truck miles traveled, trucking <strong>to</strong>nnage<br />

carried on the roadway, and route miles usable by trucks. Such information is based on roadway<br />

inven<strong>to</strong>ries, vehicles volumes, and vehicle classification counts that many transportation agencies<br />

already collect for a range of other planning and engineering reasons. Because of a lack of data,<br />

route-related measures, such as origin-destination patterns travel-route information, and other<br />

fac<strong>to</strong>rs that involve a truck’s entire trip on the transportation network, are not often used. Many<br />

state agencies agree with the usefulness of measuring the reliability of freight deliveries but do not<br />

have the data <strong>to</strong> do it accurately. Several states are actively exploring ways <strong>to</strong> collect the data<br />

necessary <strong>to</strong> report on freight-delivery reliability. While these programs are not yet fully<br />

operational, the measures being explored are discussed below.<br />

One idea is that reliability could be measured as a statistical index derived from travel time, which<br />

could be a product of GPS data obtained from actual truck movements. Several roadway agencies<br />

suggest that the portion of trucks arriving on time is the best indica<strong>to</strong>r of the reliability of a<br />

highway system from the freight mover’s perspective. It was also suggested that the statistic “one<br />

standard deviation above an average travel time” could also serve this purpose. This measure is<br />

useful and easy <strong>to</strong> understand. However, it was noted that one major issue in implementing either<br />

of these measures is reluctance on the part of carriers <strong>to</strong> share information with governments.<br />

Several of the more-detailed efforts <strong>to</strong> analyze or develop freight performance measures (New<br />

Jersey, Minnesota, and Texas) have stressed the need <strong>to</strong> have measures that are directly applicable<br />

within their organization’s institutional framework. In other words, the measures should be able <strong>to</strong><br />

inform alternative approaches regarding how a state fosters freight mobility.<br />

ISSUES AFFECTING THE EFFECTIVENESS OF AGENCIES<br />

States that are actively looking <strong>to</strong> report more travel-time reliability performance measures have<br />

described a number of concerns about their ability <strong>to</strong> develop and report reliability-related<br />

EFFECTIVENESS OF AGENCIES Page 14

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