Replacing conventional buses with electric is in line the concept of sustainable development. However, have disadvantages short driving range and high purchase price. Many cities must implement a semi-electrification strategy for bus routes. In this paper, bi-level, multi-objective programming model established collaborative scheduling problem vehicles drivers on route served by mixed fleet. Th...

The Set Covering Problem SCP is a main model for several important applications including crew scheduling in railway and mass transit companies In this survey we focus our attention on the most recent and e ective algo rithms for SCP considering both heuristic and exact approaches outlining their main characteristics and presenting an experimental comparison on the test bed instances of Beasley...

A Potts feedback neural network approach for finding good solutions to resource allocation problems with a non-fixed topology is presented. As a target application the airline crew scheduling problem is chosen. The topological complication is handled by means of a propagator defined in terms of Potts neurons. The approach is tested on artificial random problems tuned to resemble realworld condi...

Abstract The last decades have seen a considerable move forward regarding integrated vehicle and crew scheduling in various realms (airline industry, public transport). With the continuous improvement of information communication technology as well general solvers it has become possible to formulate more rich versions these problems. In transport, issues like rostering, delay propagation or day...

T article considers the overall crew management problem arising from the daily operation of an urban transit bus company that serves the metropolitan area of the city of Belo Horizonte, Brazil. Due to its intrinsic complexity, the problem is divided in two distinct subproblems: crew scheduling and crew rostering. We have investigated each of these problems using mathematical programming (MP) an...