Crash analysis and development of safety performance functions for Florida roads in the framework of the context classification system |
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| Institution: | 1. Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA;2. Center for Connected Multimodal Mobility, Clemson University, Clemson, SC 29634, USA;3. School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA;1. Department of Civil Engineering, California State Polytechnic University, Pomona, CA 91768, United States;2. Traffic Safety Investigations Branch, Department of Transportation California, United States;3. Division of Research, Innovation and System Information, Department of Transportation California, United States;4. Department of Logistics Engineering, Logistics and Traffic College, Central South University of Forestry and Technology, Hunan 410004, China;1. Department of Civil Engineering, University of Costa Rica, Costa Rica;2. Department of Transportation and Logistics Management, National Chiao Tung University, Taiwan, ROC;3. Department of Civil and Environmental Engineering, The Pennsylvania State University, United States;1. Department of Civil, Environmental & Construction Engineering, University of Central Florida, USA;2. Department of Civil and Environmental Engineering, The Pennsylvania State University, USA |
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| Abstract: | Introduction: Safety performance functions (SPF) are employed to predict crash counts at the different roadway elements. Several SPFs were developed for the various roadway elements based on different classifications such as functional classification and area type. Since a more detailed classification of roadway elements leads to more accurate crash predictions, multiple states have developed new classification systems to classify roads based on a comprehensive classification. In Florida, the new roadway context classification system incorporates geographic, demographic, and road characteristics information. Method: In this study, SPFs were developed in the framework of the FDOT roadway context classification system at three levels of modeling, context classification (CC-SPFs), area type (AT-SPFs), and statewide (SW-SPF) levels. Crash and traffic data from 2015-2019 were obtained. Road characteristics and road environment information have also been gathered along Florida roads for the SPF development. Results: The developed SPFs showed that there are several variables that influence the frequency of crashes, such as annual average daily traffic (AADT), signalized intersections and access point densities, speed limit, and shoulder width. However, there are other variables that did not have an influence in crash occurrence such as concrete surface and the presence of bicycle slots. CC-SPFs had the best performance among others. Moreover, network screening to determine the most problematic road segments has been accomplished. The results of the network screening indicated that the most problematic roads in Florida are the suburban commercial and the urban general roads. Practical Applications: This research provides a solid reference for decision-makers regarding crash prediction and safety improvement along Florida roads. |
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| Keywords: | Safety performance functions FDOT context classification system Network screening |
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