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首页> 外文期刊>Accident Analysis & Prevention >Assessing the impact of traffic signal performance on crash frequency for signalized intersections along urban arterials: A random parameter modeling approach
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Assessing the impact of traffic signal performance on crash frequency for signalized intersections along urban arterials: A random parameter modeling approach

机译：评估交通信号性能对城市动脉信号交叉口的碰撞频率的影响：随机参数建模方法

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The recent development of Automated Traffic Signal Performance Measures (ATSPMs), has provided new opportunities and insights into traffic signal operations. As agencies begin to make decisions regarding investment in infrastructure and operation systems, it is imperative to understand the impacts these systems may have on safety. Past research has thoroughly investigated the impact of geometry and signal timing parameters on the safety of intersections, but little is understood on the relationship between improved signal performance and safety. This study uses vehicle trajectory data to create performance metrics for 121 signalized intersections on ten corridors near Columbus, Ohio. These metrics are used to understand the relationship between signal performance and safety. Two performance metrics, percent arrivals on green (POG) and level of travel time reliability (LOTTR), were used along with other volume and geometric data to model the total crash frequency on signalized mainline approaches. The crash data were modeled using a random parameters negative binomial approach. In consideration of potential unobserved heterogeneity between intersections, a correlated random parameters specification was tested alongside the traditional uncorrelated random parameters and fixed parameters model. Based on goodness of fit measures, the correlated random parameter model was chosen to interpret results because this model explains the complex cross-correlation among the estimates of random parameters. The elasticity values revealed a one percent increase in percent arrivals on green is associated with a reduction in total crashes by 1.12 %. The results of this study show the investment in signal operations and optimization result in an improvement in safety at signalized intersections. Further research should be explored to expand this study to additional intersections over a larger time period.
机译：最近的自动交通信号性能措施（ATSPMS）的发展，为交通信号操作提供了新的机会和见解。由于机构开始做出关于基础设施和运营系统的投资的决定，因此必须了解这些系统可能对安全的影响。过去的研究已经彻底调查了几何形状和信号时序参数对交叉点安全的影响，但在改进的信号性能和安全之间的关系中没有理解。本研究使用车辆轨迹数据在俄亥俄州哥伦布附近的十条走廊上创建121个信号交叉口的性能指标。这些度量标准用于了解信号性能和安全之间的关系。两种性能指标，绿色（POG）百分比和旅行时间可靠性水平（Lottr），以及其他卷和几何数据用于模拟信号的主线方法上的总碰撞频率。使用随机参数负二项式方法进行建模崩溃数据。考虑到交叉路口之间的潜在不分析的异质性，与传统的不相关随机参数和固定参数模型一起测试相关随机参数规范。基于拟合措施的良好，选择相关的随机参数模型来解释结果，因为该模型解释了随机参数估计之间的复杂互相关。弹性值表明，绿色百分比增加一个百分比增加与总崩溃的降低有关1.12％。该研究的结果表明，信号操作的投资和优化导致信号交叉口的安全性提高。应探索进一步的研究以将本研究扩展到额外的交叉路口。

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