A conflict-based approach for real-time road safety analysis: Comparative evaluation with crash-based models

The analysis of road safety is critical in road design. Complying to guidelines is not enough to ensure the highest safety levels, so many of them encourage designers to virtually recreate and test their roads, benefitting from the evolution of driving simulators in recent years. However, an accurate recreation of the road and its environment represents a real bottleneck in the process. A very important limitation lies in the diversity of input data, from different sources and requiring specific adaptations for every single simulator. This paper aims at showing a framework for recreating faster virtual scenarios by using an Industry Foundation Classes (IFC)-based file. This methodology was compared to two other conventional methods for developing driving scenarios. The main outcome of this study has demonstrated that with a data exchange file in IFC format, virtual scenarios can be faster designed to carry out safety audits with driving simulators. As a result, the editing, programming, and processing times were substantially reduced using the proposed IFC exchange file format through a BIM (Building Information Modeling) model. This methodology facilitates cost-savings, execution, and optimization resources in road safety analysis.

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A Real-Time Online Structure-Safety Analysis Approach Consistent with Dynamic Construction Schedule of Underground Caverns

Journal of Construction Engineering and Management ◽

10.1061/(asce)co.1943-7862.0001153 ◽

2016 ◽

Vol 142 (9) ◽

pp. 04016042 ◽

Cited By ~ 3

Author(s):

Chao Wang ◽

Sherong Zhang ◽

Chengbo Du ◽

Fei Pan ◽

Lie Xue

Keyword(s):

Real Time ◽

Safety Analysis ◽

Analysis Approach ◽

Underground Caverns ◽

Construction Schedule

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Using claims prediction model for road safety evaluation

Canadian Journal of Civil Engineering ◽

10.1139/l01-046 ◽

2001 ◽

Vol 28 (5) ◽

pp. 804-812 ◽

Cited By ~ 8

Author(s):

Paul de Leur ◽

Tarek Sayed

Keyword(s):

Prediction Model ◽

Road Safety ◽

Claims Data ◽

Safety Evaluation ◽

Safety Analysis ◽

Insurance Claims ◽

Insurance Claim ◽

Auto Insurance ◽

Improvement Programs ◽

Traffic Collision

Road safety analysis is typically undertaken using traffic collision data. However, the collision data often suffer from quality and reliability problems. These problems can inhibit the ability of road safety engineers to evaluate and analyze road safety performance. An alternate source of data that characterize the events of a traffic collision is the records that become available from an auto insurance claim. In settling an auto insurance claim, a claim adjuster must make an assessment and determination of the circumstances of the event, recording important contributing factors that led to the crash occurrence. As such, there is an opportunity to access and use the claims data in road safety engineering analysis. This paper presents the results of an initial attempt to use auto insurance claims records in road safety evaluation by developing and applying a claim prediction model. The prediction model will provide an estimate of the number of auto insurance claims that can be expected at signalized intersections in the Vancouver area of British Columbia, Canada. A discussion of the usefulness and application of the claim prediction model will be provided together with a recommendation on how the claims data could be utilized in the future.Key words: road safety improvement programs, auto insurance claims, road safety analysis, prediction models.

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Comparative evaluation of conventional RT-PCR and real-time RT-PCR (RRT-PCR) for detection of avian metapneumovirus subtype A

Ciência Rural ◽

10.1590/s0103-84782009005000057 ◽

2009 ◽

Vol 39 (5) ◽

pp. 1445-1451 ◽

Cited By ~ 5

Author(s):

Helena Lage Ferreira ◽

Fernando Rosado Spilki ◽

Márcia Mercês Aparecida Bianchi dos Santos ◽

Renata Servan de Almeida ◽

Clarice Weis Arns

Keyword(s):

Real Time ◽

Comparative Evaluation ◽

Virus Isolation ◽

Diagnostic Methods ◽

N Gene ◽

Genomic Rna ◽

Rt Pcr ◽

Avian Metapneumovirus ◽

Lower Detection ◽

Subtype A

Avian metapneumovirus (AMPV) belongs to Metapneumovirus genus of Paramyxoviridae family. Virus isolation, serology, and detection of genomic RNA are used as diagnostic methods for AMPV. The aim of the present study was to compare the detection of six subgroup A AMPV isolates (AMPV/A) viral RNA by using different conventional and real time RT-PCR methods. Two new RT-PCR tests and two real time RT-PCR tests, both detecting fusion (F) gene and nucleocapsid (N) gene were compared with an established test for the attachment (G) gene. All the RT-PCR tested assays were able to detect the AMPV/A. The lower detection limits were observed using the N-, F- based RRT-PCR and F-based conventional RT-PCR (10(0.3) to 10¹ TCID50 mL-1). The present study suggests that the conventional F-based RT-PCR presented similar detection limit when compared to N- and F-based RRT-PCR and they can be successfully used for AMPV/A detection.

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