United States Department of Transportation
i
Safety Support System for Highway Rail Grade Crossings [Research Brief]
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2023-02-01
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[PDF-547.49 KB]
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Abstract:The research focused on providing tools and knowledge on the following four issues: 1) integrated grade-crossing crash frequency and severity prediction models, 2) marginal effectiveness of countermeasures, 3) geometric factors’ contribution to crash frequency and severity, and 4) integrated hazard rankings of North Dakota grade crossings. The research proposed an innovative statistical method, competing risk modeling (CRM), to identify the contributors, quantify marginal effects of geometric factors and control devices, and predict crash occurrence and severity simultaneously. Traffic exposure variables such as annual average daily traffic, day through-train, night through-train, train speed, and percentage of trucks are all significant contributors. Type of train services, commercial power availability, and train detection technologies are also identified as significant contributors. Moreover, the research also further quantified the four geometric contributors’ effects and conducted detailed marginal effectiveness analysis for traffic control devices considering the pre-control conditions. The four geometric factors are: distance between a crossing and its nearest intersection, crossing angle as a continuous variable, number of lanes, and number of tracks. These geometric factors are spatially calculated with GIS software if they are not readily available. The research also investigated use of the effectiveness and prediction results to rank and prioritize crossings based on safety hazard.
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