Prioritization methodology for roadside and guardrail improvement: Quantitative calculation of safety level and optimization of resources allocation

• Main Authors: Giuseppe Loprencipe, Laura Moretti, Giuseppe Cantisani, Paolo Minati
• Format: Article
• Language: English
• Published: KeAi Communications Co., Ltd. 2018-10-01
• Series: Journal of Traffic and Transportation Engineering (English ed. Online)
• Online Access: http://www.sciencedirect.com/science/article/pii/S2095756417304361

The attention to road safety-related issues has grown fast in recent decades. The experience gained with these themes reveals the importance of considering these aspects in the resource allocation process for roadside and guardrail improvement, which is a complex process often involves conflicting objectives. This work consists on defining an innovative methodology, with the objective of calculating and analysing a numerical risk factor of a road. The method considers geometry, accident rate, traffic of the examined road and four categories of elements/defects where the resources can be allocated to improve the road safety (safety barriers, discrete obstacles, continuous obstacles, and water drainage). The analysis allows the assessment of the hazard index, which could be used in decision-making processes. A case study is presented to analyse roadsides of a 995 km long road network, using the cost-benefit analysis, and to prioritize possible rehabilitation work. The results highlighted that it is suitable to intervene on roads belonging to higher classes of risk, where it is possible to maximize the benefit in terms of safety as consequence of rehabilitation works (i.e., new barrier installation, removal and new barrier installation, and new terminal installation). The proposed method is quantitative; therefore, it avoids providing weak and far from reliable results; moreover, it guarantees a broad vision for the problem, giving a useful tool for road management body. Keywords: Roadside safety, Guardrail improvement, Optimization, Resources allocation, Road management