Commercial Heavy Vehicle Impacts on Signalized Arterial Corridor Performance
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2019-12-01
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Edition:Final Report, 7/1/16–12/31/19
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Abstract:With changing population, economy, and business practices, there has been a significant increase in commercial truck traffic on urban roadways in Florida. Arterial corridors with heavy use by commercial vehicles often suffer from poor operational performance, either because they were not designed considering the current level of commercial truck traffic or the analysis tools used for such design did not properly account for the effect of commercial vehicles. The Highway Capacity Manual (HCM) provides one of the most commonly used analysis methods for arterial corridors, and it employs a methodology that does not properly account for the full vehicle dynamics of heavy vehicles. To improve on this shortcoming in the HCM calculations, this project makes use of a microsimulation tool, which takes into account advanced vehicle acceleration modeling of heavy vehicles. The field data were obtained by setting up cameras, data from which were used as the basis of calibrating the microsimulation tool. To develop recommendations, synthetic data were generated using this tool, and experimental design scenarios were set up. These scenarios were tested against both the microsimulation tool and HCM, and comparisons were made of the obtained results from both tools. Regression models were developed to provide recommendations for Florida to adjust saturation flow rate and running time calculations. These models were developed with the intent that the usage of these models will result in more accurate signalized arterial design in Florida, compared to solely using the current HCM methodologies. The major benefit for Florida through this study is the development of adjusted calculations of the HCM urban streets and signalized intersections methodologies so they do not overestimate running speeds and saturation flow rates. This will positively affect signalized arterial corridor planning in Florida and may positively impact the state’s freight signal priority goals and interests.
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