Multi criteria decision making model to increase railway timetable robustness

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making

Quantifying railway timetable robustness in critical points

Several European railway traffic networks experience high capacity consumption during large parts of the day resulting in delay-sensitive traffic system with insufficient robustness. One fundamental challenge is therefore to assess the robustness and find strategies to decrease the sensitivity to disruptions. Accurate robustness measures are needed to determine if a timetable is sufficiently ro...

Fast Approaches to Improve the Robustness of a Railway Timetable

The Train Timetabling Problem (TTP) consists in finding a train schedule on a railway network that satisfies some operational constraints and maximizes some profit function which counts for the efficiency of the infrastructure usage. In practical cases, however, the maximization of the objective function is not enough and one calls for a robust solution that is capable of absorbing as much as p...

Evaluation of recommender systems: A multi-criteria decision making approach

The evaluation and selection of recommender systems is a difficult decision making process. This difficulty is partially due to the large diversity of published evaluation criteria in addition to lack of standardized methods of evaluation. As such, a systematic methodology is needed that explicitly considers multiple, possibly conflicting metrics and assists decision makers to evaluate and find...

Prioritizing Rangeland Improvement Practices using Multi-Criteria Decision Making Approach

Selecting the appropriate rangeland improvement method is a challenging task for range managers because it requires consideration of  various criteria. This study was  aimed to evaluate various restoration and reclamation practices in the rangelands of Semirom-Isfahan using Multi-Criteria Decision Making (MCDM) methods. Grazing management, water point development, pit seeding, exclosure, water ...