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

Abstract 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.

[1]  Jr. James C. Kennedy Effect of Light Poles on Vehicle Impacts with Roadside Barriers , 1997 .

[2]  H. Bierman,et al.  Quantitative analysis for business decisions , 1969 .

[3]  Ahmed E. Radwan,et al.  Modeling traffic accident occurrence and involvement. , 2000, Accident; analysis and prevention.

[4]  J C Fox,et al.  An in-depth study of accidents involving collisions with utility poles. , 1987, Accident; analysis and prevention.

[5]  D L Sicking,et al.  ROADSIDE SAFETY ANALYSIS PROGRAM (RSAP)--ENGINEER'S MANUAL , 2003 .

[6]  S. Miccoli,et al.  A Monetary Measure of Inclusive Goods: The Concept of Deliberative Appraisal in the Context of Urban Agriculture , 2014 .

[7]  Giuseppina Amato,et al.  Selection of the most appropriate roadside vehicle restraint system – the SAVeRS project , 2016 .

[8]  Salvatore Cafiso,et al.  Development of comprehensive accident models for two-lane rural highways using exposure, geometry, consistency and context variables. , 2010, Accident; analysis and prevention.

[9]  Giuseppe Cantisani,et al.  Retrofit of an existing Italian bridge rail for H4a containment level using simulation , 2009 .

[10]  S. Miccoli,et al.  Social Evaluation Approaches in Landscape Projects , 2014 .

[11]  G. Loprencipe,et al.  Risk analysis in the surrounding areas of one-runway airports: A methodology to preliminary calculus of PSZs dimensions , 2016 .

[12]  J G Viner Rollovers on sideslopes and ditches. , 1995, Accident; analysis and prevention.

[13]  Giuseppe Cantisani,et al.  A runway veer-off risk assessment based on frequency model: Part II. risk analysis , 2017 .

[14]  R A Zimmer,et al.  RECOMMENDED PROCEDURES FOR THE SAFETY PERFORMANCE EVALUATION OF HIGHWAY FEATURES , 1993 .

[15]  S. Miccoli,et al.  Measuring Shared Social Appreciation of Community Goods: An Experiment for the East Elevated Expressway of Rome , 2015 .

[16]  Giuseppe Cantisani,et al.  Airport veer-off risk assessment: An italian case study , 2017 .

[17]  Sabyasachee Mishra,et al.  A synchronized model for crash prediction and resource allocation to prioritize highway safety improvement projects , 2013 .

[18]  Giuseppe Cantisani,et al.  Improvement of Portable Concrete Barrier Design Using Computational Mechanics , 2006 .

[19]  Frederick S. Hillier,et al.  Introduction of Operations Research , 1967 .

[20]  M H Ray,et al.  Impact conditions in side-impact collisions with fixed roadside objects. , 1999, Accident; analysis and prevention.

[21]  Giuseppe Loprencipe,et al.  Sustainable Pavement Management System in Urban Areas Considering the Vehicle Operating Costs , 2017 .

[22]  James H Lambert,et al.  Decision aid for allocation of transportation funds to guardrails. , 2003, Accident; analysis and prevention.

[23]  Rafael Jurado-Piña,et al.  Empirical calibration of a roadside hazardousness index for Spanish two-lane rural roads. , 2010, Accident; analysis and prevention.

[24]  Giuseppe Cantisani,et al.  A runway veer-off risk assessment based on frequency model: Part I. probability analysis , 2017 .

[25]  K. A. Stonex ROADSIDE DESIGN FOR SAFETY , 1960 .

[26]  Rune Elvik,et al.  The Handbook of Road Safety Measures , 2009 .

[27]  Ruediger Lamm,et al.  POSSIBLE DESIGN PROCEDURE TO PROMOTE DESIGN CONSISTENCY IN HIGHWAY GEOMETRIC DESIGN ON TWO-LANE RURAL ROADS , 1988 .

[28]  Jerry G. Pigman,et al.  GUIDELINES FOR INSTALLATION OF GUARDRAIL , 1991 .

[29]  R Elvik,et al.  The safety value of guardrails and crash cushions: a meta-analysis of evidence from evaluation studies. , 1995, Accident; analysis and prevention.

[30]  Olja Čokorilo,et al.  Runway veer-off accidents: Quantitative risk assessment and risk reduction measures , 2018 .

[31]  Chen Zhang,et al.  Effects of Geometric Characteristics on Head-On Crash Incidence on Two-Lane Roads in Connecticut , 2005 .