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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

機(jī)譯：評估交通信號性能對城市動脈信號交叉口的碰撞頻率的影響：隨機(jī)參數(shù)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.
機(jī)譯：最近的自動交通信號性能措施（ATSPMS）的發(fā)展，為交通信號操作提供了新的機(jī)會和見解。由于機(jī)構(gòu)開始做出關(guān)于基礎(chǔ)設(shè)施和運(yùn)營系統(tǒng)的投資的決定，因此必須了解這些系統(tǒng)可能對安全的影響。過去的研究已經(jīng)徹底調(diào)查了幾何形狀和信號時(shí)序參數(shù)對交叉點(diǎn)安全的影響，但在改進(jìn)的信號性能和安全之間的關(guān)系中沒有理解。本研究使用車輛軌跡數(shù)據(jù)在俄亥俄州哥倫布附近的十條走廊上創(chuàng)建121個信號交叉口的性能指標(biāo)。這些度量標(biāo)準(zhǔn)用于了解信號性能和安全之間的關(guān)系。兩種性能指標(biāo)，綠色（POG）百分比和旅行時(shí)間可靠性水平（Lottr），以及其他卷和幾何數(shù)據(jù)用于模擬信號的主線方法上的總碰撞頻率。使用隨機(jī)參數(shù)負(fù)二項(xiàng)式方法進(jìn)行建模崩潰數(shù)據(jù)?？紤]到交叉路口之間的潛在不分析的異質(zhì)性，與傳統(tǒng)的不相關(guān)隨機(jī)參數(shù)和固定參數(shù)模型一起測試相關(guān)隨機(jī)參數(shù)規(guī)范?；跀M合措施的良好，選擇相關(guān)的隨機(jī)參數(shù)模型來解釋結(jié)果，因?yàn)樵撃Ｐ徒忉屃穗S機(jī)參數(shù)估計(jì)之間的復(fù)雜互相關(guān)。彈性值表明，綠色百分比增加一個百分比增加與總崩潰的降低有關(guān)1.12％。該研究的結(jié)果表明，信號操作的投資和優(yōu)化導(dǎo)致信號交叉口的安全性提高。應(yīng)探索進(jìn)一步的研究以將本研究擴(kuò)展到額外的交叉路口。

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