Pilot Testing of SHRP 2 Reliability Data and Analytical Products: Washington (2014) / Chapter Skim
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Pages 132-140
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132 CHAPTER 9 Conclusions and Potential Improvements 9.1 Summary and Conclusions In sum, the research team has tested and evaluated the analytical products from the SHRP 2 projects. The major conclusions for each product are summarized as follows: The L02 methodology builds a strong foundation for travel time reliability monitoring.
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133 accuracy in estimating the future accident number is the key factor influencing the benefit–cost analysis results; and (5) the detailed results and TTI curves are inaccessible, which limits further comparison.
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134 9.2 Suggestions and Potential Improvements 9.2.1 Potential Improvements on SHRP 2 L02 Product In general, the L02 is useful for outlining specifications for the data needed to create a TTRMS system, guiding how to organize different conditions for the CDF, helping understand how to read the CDF for impacts on delay, and identifying congestion sources for different corridors. By testing the L02 procedure, the research team finds that there are limitations within the guide.
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135 As a final note, the guide assumes the existence of a highly intelligent data collection system to synthesize the data and make a TTRMS work effectively. For example, the I-5 facility could be much better analyzed with a more extensive network of weather stations, especially those closer to the roadway.
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136 lengths and lane numbers will have different effects on mainline traffic condition. o Effects of ramp spacing and interchange type on mainline flow.
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137 data. Even if a complete set of demand data is available (most likely provided by imbedded loop detectors)
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138 heavy trucks. These modifications would improve quality of assessment of travel time reliability and congestion costs.
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139 cases, the tool takes inputs and produces outputs for each segment separately. It would be helpful if the tool summarizes the outputs by combining the data from all the segments.
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140 such as DRIVE Net. By acquiring travel time data from Bluetooth detectors and/or INRIX, the data might be more accurate, reliable, and available for many more roadways.
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