Title: Scheduling of Drivers for Mass Transit Systems Using Interactive Optimisation
Abstract: This paper presented a mode for formulating and solving the mass transit crew/vehicle scheduling problem. This model offers a large degree of flexibility because of its use of man/machine interaction. In particular, it allows the human scheduler to involve constraints and to guide the algorithm dynamically as it searches for a low cost solution. The paper presented computational results from a non-interactive version of the algorithm on a data base from the city of Baltimore. These results show that the model provides a viable approach to the problem.
Publication Year: 1981
Publication Date: 1981-01-01
Language: en
Type: article
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Cited By Count: 3
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