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Comprehensive evaluation of signal-coordinated arterials on traffic safety
Analytic Methods in Accident Research ( IF 12.9 ) Pub Date : 2019-01-31 , DOI: 10.1016/j.amar.2019.01.001
Yingfei Fan , Guopeng Zhang , Jian Ma , Jaeyoung Lee , Teng Meng , Xiaoning Zhang , Xinguo Jiang

Many cities have adopted signal coordination schemes to improve the operational efficiency of arterials. Through providing a “green wave”, the coordinated signals allow vehicles to pass consecutive intersections with fewer stops. Conventionally, studies focused mainly on the efficiency aspect of signal coordination. From a safety perspective, there are few studies devoted to investigating spatial heterogeneity and homogeneity simultaneously along arterials, particularly those with different traffic control and signal coordination schemes. Applying a joint negative binomial conditional auto-regression crash sum (JNBCS-CAR) model, this paper aims to comprehensively evaluate traffic safety on arterials with coordinated traffic signals. The performance of JNBCS-CAR is compared to those of traditional five ones (i.e., Poisson log-normal (PLN), negative binominal crash sum (NBCS), Poisson log-normal conditional auto-regression (PLN-CAR), negative binominal conditional auto-regression crash sum (NBCS-CAR), and hierarchical Poisson log-normal conditional auto-regression (HPLN-CAR)). Nine years of data are selected from the City of Ann Arbor (Michigan). Results indicate that (1) the JNBCS-CAR model outperforms other models in terms of the goodness-of-fit; (2) signalized intersections appear to have significant spatially heterogeneous effects on roadway segments under the scenario of signal coordination, while roadway segments do not have spatially heterogeneous effects on signalized intersections; and (3) there is a strong spatially homogeneous correlation among the coordinated intersections, but not among the segments. The findings serve to provide an accurate evaluation of the coordinated signalization from the safety perspective.



中文翻译:

信号协调动脉对交通安全的综合评估

许多城市已经采用信号协调方案来提高动脉的运营效率。通过提供“绿波”,协调信号使车辆能够以更少的停车位通过连续的十字路口。传统上,研究主要集中在信号协调的效率方面。从安全的角度来看,很少有研究专门研究沿动脉的空间异质性和同质性,特别是那些具有不同交通控制和信号协调方案的研究。本文应用联合负二项式条件自回归碰撞总和(JNBCS-CAR)模型,旨在对交通信号协调的道路交通安全性进行综合评估。将JNBCS-CAR的性能与传统5种性能(即泊松对数正态(PLN),负二项式碰撞总和(NBCS),泊松对数正态条件自回归(PLN-CAR),负二项式条件自回归碰撞总和(NBCS-CAR)和分层Poisson对数正态在条件自回归(HPLN-CAR ))。从安阿伯市(密歇根州)中选择了九年的数据。结果表明:(1)JNBCS-CAR模型在拟合优度方面优于其他模型;(2)在信号协调的情况下,信号交叉口似乎对道路段具有明显的空间异质性影响,而道路段对信号交叉口则没有空间异质性影响;(3)协调交叉点之间的空间同质性相关性很强,但路段之间则没有。

更新日期:2019-01-31
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