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Development of Crash Database Parsing Tools to Support the Highway Safety Improvement Program in Texas

机译:开发崩溃数据库解析工具,以支持德克萨斯州公路安全改进计划

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The Highway Safety Improvement Program allows for funds to be allocated to safety-related projects on roadways. Given the high need for safety improvements and limited funding, prioritization of safety projects is crucial. To assist transportation agencies in making safety improvement project and resource allocation decisions, a computerized suite of tools has been developed that parses the crash database to identify crash hotspots, suggest potential treatments, and calculate possible safety benefits. To demonstrate the applicability of the tools, a case study was conducted using real data provided by Texas Department of Transportation, Austin District. The results returned a set of 6,174 candidate project recommendations with corresponding most effective treatment. The tool can assist engineers in making more insightful decisions regarding safety projects and allocate the limited budget more effectively and efficiently.
机译:公路安全改进计划允许资金分配给道路上的安全相关项目。 鉴于对安全改进和有限的资金需求很高,安全项目的优先级至关重要。 为了协助运输机构在制定安全改进项目和资源分配决策方面,已经开发了一套电脑套件,使崩溃数据库解析以识别崩溃热点,表明潜在治疗,并计算可能的安全益处。 为了展示该工具的适用性,使用德克萨斯州奥斯汀地区德克萨斯州交通部提供的真实数据进行案例研究。 结果返回了一套6,174个候选项目建议,具有相应的最有效的待遇。 该工具可以帮助工程师制定更多关于安全项目的洞察力决策,并更有效且有效地分配有限预算。

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