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Operational and Safety Analysis of Signage and Pavement Marking Treatments in Puerto Rico Dynamic Toll Lane Using a Driving Simulator

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Advances in Human Aspects of Transportation (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 597))

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Abstract

The Puerto Rico Dynamic Toll Lane (DTL) is a managed lane system for light traffic that combines congestion pricing, reversible lanes and a Bus Rapid Transit system within the median of freeway PR-22. This research aims to evaluate if modified signage and the addition of in-lane pavement markings could help improve operational and safety aspects of the DTL using the UPRM driving simulator. The performance measures used to evaluate driving behavior were vehicle average position, average speed and acceleration noise, which has been used as a surrogate measure to evaluate safety. A total of four virtual scenarios were studied using time of day and traffic flow as independent variables to evaluate two configurations: existing conditions (Configuration 1) and proposed conditions using modified signs and pavement marking treatments (Configuration 2). However, results of the study indicates that there were no significant differences between configurations for the performance measurements evaluated.

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Acknowledgments

The authors of this article extend their gratitude to the University Transportation Centers (UTC) Program for funding and supporting SAFER-SIM investigations over the past years. Also, the authors acknowledge Dr. Pedro Torres, for the technical assistance in the statistical analysis.

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Correspondence to Bryan Ruiz .

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Ruiz, B., Valdés, D., Colucci, B., Ruiz, J., García, R., Colón, E. (2018). Operational and Safety Analysis of Signage and Pavement Marking Treatments in Puerto Rico Dynamic Toll Lane Using a Driving Simulator. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2017. Advances in Intelligent Systems and Computing, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-319-60441-1_83

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  • DOI: https://doi.org/10.1007/978-3-319-60441-1_83

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60440-4

  • Online ISBN: 978-3-319-60441-1

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