Estimating countermeasure effects for reducing collisions at highway–railway grade crossings

Saccomanno, Frank; Park, Peter Young-Jin; Fu, Liping

doi:10.1016/j.aap.2006.08.016

Cited by 60 publications

(34 citation statements)

References 10 publications

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“…From Eqs. (9) and (10) one can see that model allows the variance to exceed the mean. Also, Poisson regression model can be regarded as a limiting model of negative binomial regression model as α approaches 0.…”

Section: Amentioning

confidence: 95%

Accident Risk Analysis and Model Applications of Railway Level Crossings

2008

2008 11th International IEEE Conference on Intelligent Transportation Systems

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In order to reduce property loss and casualties from level crossing accidents, it is crucial to develop effective accident prediction models that are capable of providing effective information of accident frequency and severity given a vector of covariates. In the present research, a set of statistical count and categorical data models are developed; they are not only able to evaluate accident frequency and severity but also capable of exploring the potential risk factors that are responsible for traffic accidents. Using the data set collected by the Ministry of Transportation and Communication (MOTC) in 1998, which consist of both historical accident data and railway level crossing related data, the empirical study identifies a vector of factors that are significantly associated with accident frequency and/or severity. Finally, the developed accident frequency and severity models are also employed to provide the evaluation of black spots and countermeasure effects.

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Section: Amentioning

confidence: 95%

Accident Risk Analysis and Model Applications of Railway Level Crossings

2008

2008 11th International IEEE Conference on Intelligent Transportation Systems

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“…They suggested that stop signs should be applied selectively, only at hazardous passive grade crossings, and should not be used indiscriminately at all passive grade crossings. Additionally, in Canada, it was found that the stop-sign countermeasure can improve crossing safety performance by as much as 35% (Saccomanno, Park, & Fu, 2007).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Effectiveness of Stop-Sign Treatment at Highway–Railroad Grade Crossings

Millegan

Yan

Richards

et al. 2009

Journal of Transportation Safety & Security

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The safety benefit of stop-sign treatment employed at passive highway-rail crossings has been a subject of research for many years. The objective of this study is to assess the effectiveness of the stop-sign treatment on crossing safety. Using the Federal Railroad Administration database, the research focused on 26 years of vehicle-train accident history in the United States from 1980 through 2005. A before-and-after and crosssectional statistical analysis was conducted for 7,394 public highway-railroad grade crossings that were upgraded from cross buck only to stop signs without involvement in other traffic-control devices (TCDs) or automatic countermeasures. The study found that accident rates based on annual accident frequency per 1,000 crossings were significantly higher during the period when crossings were controlled by cross bucks only than when they were controlled by stop signs. Further, this study developed negative binomial accident prediction models, respectively, for paved and unpaved highway-rail gradecrossings that include effect for stop-sign treatment. Based on specific attributes of the current crossbuck-only-controlled crossings, decision makers and traffic engineers can use the models to examine the accident risks at crossings and assess the potential effectiveness of stop-sign treatment.

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“…Further, according to the authors' opinions, these findings can ensure recognition of interactions between KPT and particular classes of TCIS. From that point of view, for instance, it is clear that upgrading passively protected level crossings into actively protected ones can provide a significantly higher level of safety [72,80,122,135,136,149].…”

Section: Introductionmentioning

confidence: 99%

An evaluation of train control information systems for sustainable railway using the analytic hierarchy process (AHP) model

Krmac

Djordjević

2017

Eur. Transp. Res. Rev.

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Purpose In the process of nowadays efficiency evaluation of any mode of transportation, sustainability results are the most important factor. In regard to railway sustainability, Train Control Information Systems (TCIS) are such advanced systems with important positive impacts. The main purpose of this study was therefore the evaluation of these impacts as well as the evaluation of Key Performance Themes (KPT) for sustainable railways. Methods Firstly a very detailed literature review of papers that have focused on TCIS and their improvements on railway sustainability, published in the scientific journal in the period from 2005 and 2016, was performed. The number of studies was then used as a main criteria in Analytical Hierarchical Process (AHP) evaluations or rankings of these systems and their impacts. Results The paper offers results from the first systematic review of papers which investigate the role of TCIS in terms of sustainability and, additionally, represents a refined approach to TCIS classification with a new classes descriptions. During review KPT for sustainable railways were also identified. Further, AHP evaluated the Train Management and Interlocking Systems and their subsystems as the most important TCIS, and safety and costs of equipment, installation, maintenance and operation as the most important themes. ConclusionsThe results are important for both, scholars for their future research and for other railway stakeholders and decision makers, who must select different systems and technologies for implementation in their railway systems with emphasis on increasing performance and sustainability. The study offers also the opportunities for further research in regard to railway sustainability.

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Estimating countermeasure effects for reducing collisions at highway–railway grade crossings

Cited by 60 publications

References 10 publications

Accident Risk Analysis and Model Applications of Railway Level Crossings

Accident Risk Analysis and Model Applications of Railway Level Crossings

Evaluation of Effectiveness of Stop-Sign Treatment at Highway–Railroad Grade Crossings

An evaluation of train control information systems for sustainable railway using the analytic hierarchy process (AHP) model

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