Open AccessRoad Safety Resource Allocation Using Interactive Multiobjective Optimization
Author(s) -
Maria Grazia Augeri
Publication year - 2021
Publication title -
european transport
Language(s) - English
Resource type - Journals
eISSN - 2283-5520
pISSN - 1825-3997
DOI - 10.48295/et.2021.84.4
Subject(s) - computer science , operations research , set (abstract data type) , resource allocation , decision maker , hazard , preference , risk analysis (engineering) , engineering , mathematics , business , computer network , chemistry , statistics , organic chemistry , programming language
A model is proposed for allocating safety resources to various hazard sites. Due to budget constraints, allocation of resources for necessary countermeasures is a critical issue in safety improvement programs. Therefore, the Decision Maker needs a tool that can prioritize the identified countermeasures looking at several objectives, the most important of which are: reducing the number of accidents and minimizing the costs. A number of countermeasures could be implemented simultaneously in the same location and this was considered, so that the solution that best optimizes the objectives was selected. Since the considered objectives are not commensurable, a new methodology with interactive multi-objective optimization in the case of 0-1 integer variables was proposed, based on the application of a logical preference model built using dominance-based Rough Set Approach (IMO-DRSA). Finally, an application of the methodology is presented considering a sample of Italian urban intersections and a set of mutually exclusive alternatives at each location.