Image-Based Identification and GIS-Integration of Vehicle Restraint Systems and Evaluation of Safety Effects

Image-Based Identification and GIS-Integration of Vehicle Restraint Systems and Evaluation of Safety Effects

Christian Stefan Csaba Beleznai Isabela Erdelean Matthias Hahn

AIT Austrian Institute of Technology, Austria

Page: 
344-355
|
DOI: 
https://doi.org/10.2495/SAFE-V9-N4-344-355
Received: 
N/A
|
Accepted: 
N/A
|
Published: 
30 November 2019
| Citation

OPEN ACCESS

Abstract: 

Collisions between vehicles leaving the road and unforgiving roadside objects such as trees, poles, road signs, etc. constitute a major road safety issue. On the Austrian road network, approximately 7.500 injury crashes occur every year due to run-off-road (ROR) manoeuvres (i.e. 20% of all injury crashes on public roads), contributing 35% to fatalities and 25% to serious injuries. Vehicle restraint systems (VRS) such as guardrails, concrete barriers, terminals or crash attenuators play a decisive role in mitigating the consequences of ROR crashes. Unfortunately, most national road administrations (NRA) do not have a centralized data management, while geo-referenced information on VRS and their safety-related attributes are also not available as digitized data. Researchers from the AIT have developed a novel approach to investigate, classify and evaluate VRS by means of image data processing, towards providing a comprehensive VRS inventory. The information obtained can be used for benefit-cost-analyses, road safety inspections and the evaluation of the effectiveness of different vehicle restraint systems.

Keywords: 

Asset management, database, decision tree, geographical information system, inventory control, run-off-road crashes, traffic safety, vehicle restraint system.

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