Abstract
The Puerto Rico Dynamic Toll Lane (DTL) is a reversible managed lane facility located in the median of a segment of freeway PR-22. Safety and operational concerns have emerged with vehicles traveling with higher speed profiles than the posted speed limit. The objective of this paper is focused on the application of a Random Forest Model to perform a safety and operational analysis based on driving simulator data of the virtual environment of PR-22 DTL using the University of Puerto Rico at Mayagüez (UPRM) of the simulation. This model ranks the importance of independent variables for each performance measure (i.e. operating speed and acceleration noise). Research results indicate that the most important variable for the performance measure operating speed is the posted speed limit, resulting with the highest increase in variation of the mean square error (MSE).
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Acknowledgements
The authors of this article extend their gratitude to the University Transportation Centers (UTC) for funding and supporting SAFER-SIM investigations over the past years. Also, the authors acknowledge graduate students Ricardo Garcia and Enid Colon for the assistance in the data collection efforts.
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Ruiz-González, J., Colucci-Ríos, B., Valdés-Díaz, D., Ruiz-Cruz, B., Torres-García, W. (2019). Evaluation of Roadway Geometrics and Posted Speed Limits with Random Forest in the PR-22 Dynamic Toll Lane Using a Driving Simulator. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2018. Advances in Intelligent Systems and Computing, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-93885-1_85
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DOI: https://doi.org/10.1007/978-3-319-93885-1_85
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