ESTIMATING TRAVEL TIME MEAN AND VARIANCE FOR ITS DATA SOURCES

TL;DRAbstract

This paper describes recently completed research investigating corridor travel time mean and variance estimation. Simultaneous travel time data were collected along two corridors from several sources including instrumented test vehicles, commercial vehicles, and an ITS data source. The ITS data source included automatic vehicle identification (AVI) in Houston, Texas and inductance loop detectors in San Antonio, Texas spaced every 0.5 mile (0.8 kilometer). This paper identifies several important findings. First, ITS travel time data sources, such as AVI in Houston, were found to provide a very cost-effective data collection method. They also provide accurate travel time mean estimates while providing more confidence in the travel time estimate. Second, commercial vehicles were found to have longer travel times than those reported by the ITS data sources. This demonstrates that it may be reasonable to provide travel time maps and information in real-time specifically; for commercial vehi

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