Safety performance functions for motorcycle crashes at interchange ramp segments

IF 3.9 2区 工程技术 Q1 ERGONOMICS
Bharat Kumar Pathivada , Arunabha Banerjee , Kirolos Haleem , Tathagatha Khan
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Abstract

Introduction: Compared to other facilities (e.g., road segments and intersections), ramp segments pose more challenges for motorcycles due to their higher operating speeds (especially for merging and weaving maneuvers) and sharp curves. This study investigates motorcycle crash frequency at interchange ramp segments by developing motorcycle crash-specific safety performance functions (SPFs). Data on motorcycle-involved crashes in Kentucky over eight years (2015 to 2022) were used. Extensive ramp-specific information at 147 interchange ramp segments was manually collected. Method: The crash dataset exhibited marginal over-dispersion (i.e., crash variance is marginally greater than its mean); therefore, both negative binomial (NB) and Conway-Maxwell-Poisson (CMP) modeling approaches with fixed and varying dispersion parameters were explored. Results: The results showed that the CMP model with varying dispersion parameter (i.e., the heterogeneous CMP or HTCMP model) outperformed the other models based on various goodness-of-fit and prediction performance measures. The SPF model results revealed that higher ramp annual average daily traffic “AADT” and presence of roadside barriers were associated with increased motorcycle crash frequency along ramp segments. On the other hand, presence of right shoulder rumble strips, wider ramp lanes, and relatively longer gore lengths were significantly associated with reduced motorcycle crash frequency along ramp segments. The predicted crash frequencies from the HTCMP model were used to identify and rank high motorcycle-crash ramp segments using the empirical Bayes (EB) method. Practical Applications: Several safety countermeasures were proposed to reduce motorcycle crashes at interchange ramp segments, such as installing grooved rumble strips on the shoulders to alert drifting motorcyclists.
互交匝道段摩托车碰撞安全性能函数
导言:与其他设施(如路段和十字路口)相比,坡道路段对摩托车的挑战更大,因为坡道路段的行驶速度更快(特别是合并和编织操作),而且弯道很陡。本研究通过建立摩托车碰撞特定安全性能函数(SPFs)来研究摩托车在立交匝道段的碰撞频率。研究使用了肯塔基州8年(2015年至2022年)的摩托车撞车数据。人工收集了147个立交匝道段的大量匝道特定信息。方法:崩溃数据集表现出边际过度分散(即崩溃方差略大于其平均值);因此,研究了固定和变化色散参数的负二项(NB)和Conway-Maxwell-Poisson (CMP)建模方法。结果:结果表明,基于各种拟合优度和预测性能指标,具有不同离散参数的CMP模型(即异构CMP或HTCMP模型)优于其他模型。SPF模型结果显示,较高的坡道年平均日交通“AADT”和路边障碍物的存在与坡道段摩托车碰撞频率增加有关。另一方面,右肩隆隆带的存在、更宽的匝道车道和相对较长的gore长度与匝道段摩托车碰撞频率的降低显著相关。利用HTCMP模型预测的碰撞频率,采用经验贝叶斯(empirical Bayes, EB)方法对摩托车碰撞坡道路段进行识别和排序。实际应用:提出了几个安全对策,以减少摩托车碰撞在立交匝道段,如安装槽隆隆声带在肩部提醒漂流摩托车。
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来源期刊
CiteScore
6.40
自引率
4.90%
发文量
174
审稿时长
61 days
期刊介绍: Journal of Safety Research is an interdisciplinary publication that provides for the exchange of ideas and scientific evidence capturing studies through research in all areas of safety and health, including traffic, workplace, home, and community. This forum invites research using rigorous methodologies, encourages translational research, and engages the global scientific community through various partnerships (e.g., this outreach includes highlighting some of the latest findings from the U.S. Centers for Disease Control and Prevention).
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