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首页> 外文期刊>Journal of Modern Transportation >Accident and hazard prediction models for highway–rail grade crossings: a state-of-the-practice review for the USA
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Accident and hazard prediction models for highway–rail grade crossings: a state-of-the-practice review for the USA

机译：公路铁路级交流的事故和危害预测模型：美国的实践状态审查

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摘要

Highway–rail grade crossings (HRGCs) are one of the most dangerous segments of the transportation network. Every year numerous accidents are recorded at HRGCs between highway users and trains, between highway users and traffic control devices, and solely between highway users. These accidents cause fatalities, severe injuries, property damage, and release of hazardous materials. Researchers and state Departments of Transportation (DOTs) have addressed safety concerns at HRGCs in the USA by investigating the factors that may cause accidents at HRGCs and developed certain accident and hazard prediction models to forecast the occurrence of accidents and crossing vulnerability. The accident and hazard prediction models are used to identify the most hazardous HRGCs that require safety improvements. This study provides an extensive review of the state-of-the-practice to identify the existing accident and hazard prediction formulae that have been used over the years by different state DOTs. Furthermore, this study analyzes the common factors that have been considered in the existing accident and hazard prediction formulae. The reported performance and implementation challenges of the identified accident and hazard prediction formulae are discussed in this study as well. Based on the review results, the US DOT Accident Prediction Formula was found to be the most commonly used formula due to its accuracy in predicting the number of accidents at HRGCs. However, certain states still prefer customized models due to some practical considerations. Data availability and data accuracy were identified as some of the key model implementation challenges in many states across the country.
机译：公路铁路级交叉口（HRGCS）是交通网络中最危险的部分之一。每年在高速公路用户和列车之间的HRGC中录制了许多事故，高速公路用户和交通控制设备之间，并仅在高速公路用户之间。这些事故会导致死亡，严重伤害，财产损失和释放危险材料。研究人员和国家部门通过调查可能导致HRGCS发生事故的因素并制定某些事故和危险预测模型来讨论美国HRGCS的安全问题，以预测事故发生和过境脆弱性的发生。事故和危险预测模型用于识别需要安全改进的最危险的HRGC。本研究规定了对实践状态的广泛审查，以确定多年来通过不同状态点使用的现有事故和危害预测公式。此外，本研究分析了现有事故和危害预测公式中所考虑的常见因素。本研究还讨论了所确定的事故和危害预测公式的报告的绩效和实施挑战。根据审查结果，发现美国点事故预测公式是最常用的公式，这是预测HRGCS的事故数量的准确性。然而，由于一些实际考虑，某些国家仍然更喜欢定制模型。数据可用性和数据准确性被确定为全国许多州的一些关键模型实施挑战。

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