Cost-Effective Performance Measures for Travel Time Delay, Variation, and Reliability (2008) / Chapter Skim
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Pages 4-9
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Data collection and processing techniques are provided that will allow calculation of travel time- and delay-based performance measures in a variety of agency settings. Estimating or forecasting the reliability of a transportation facility or system, defined here as the variability in travel time or delay, effectively requires continuous data collection sources.
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or traffic management systems (TMCs) to develop travel time, delay, and reliability measures, but these efforts too are fairly sophisticated, limited in extent, and at present, costly.
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While travel-time measures are becoming more common components of TI programs, the methods in this report are specifically designed to be applied using less comprehensive, less real-time data than is typically used for TI. In order for reports or estimates of travel time to be useful to system users en route or planning an imminent trip, they need to be based on near real-time and historic data.
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This section identifies key elements necessary for a complete analysis that includes travel time, speed, and reliability measures. As with any process, the continuous evaluation of assumptions, methods, and techniques will lead to improvement; it is important to compare the measures with the uses throughout the process and adjust the measures as necessary.
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Analyses of corridor improvements might require travel time and speed measures to be expressed in person and freight movement terms. Some analyses are relatively simple, and it may be appropriate to use only one measure.
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Direct data collection may be available from a variety of sources, including specific corridor studies, real-time data collection, and annual route surveys of travel times. An areawide travel monitoring program will consist of both travel speed data collection and estimated speed information obtained from equations or models.
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