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- W118935611 abstract "Due to the importance of access safety management, both from a social and from an engineering perspective, but also due to the scale of the investments that usually are necessary for improving road safety, optimal safety management strategies - for decades now - have an elevated importance in transportation planning research and within the industry/authorities community. In the current study, optimal strategies of budget allocation for network safety improvement are identified by formulating and solving a possibilistic combinatorial programming problem for a pre-defined set of ‘black’ spots. Specifically, a resource allocation programming problem is constructed, aiming on selecting the locations subset such as to maximize total network safety performance. For treating the problem’s uncertainty the proposed formulation adopts concepts from fuzzy sets theory by assigning a fuzzy set for the safety improvement in each location with respect to the type of improvement that is required in each case. This possibilistic problem setup is tackled by suitable transformations of two hybrid optimization routines, namely, Genetic Algorithms and Simulated Annealing. Results from the proposed framework implementation onto a network of realistic characteristics provides evidence on its performance in real-world cases." @default.
- W118935611 created "2016-06-24" @default.
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- W118935611 date "2011-01-01" @default.
- W118935611 modified "2023-09-26" @default.
- W118935611 title "Possibilistic Resource Allocation Optimization Models for Improving Access Safety over a Network of Interurban Highways" @default.
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