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Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
With the rapid development of urban rail transit, its operation and management is becoming more sophisticated. As a result of the growth of urban rail transit line in length and increased crew rotation points, crew scheduling, which is an important part of operation and management, is increasingly complicated. One major concern of urban rail transit operator is how to compile a reasonable crew schedule in time. This paper analyzes the characters of urban rail transit crew scheduling and provides an innovative method. Firstly, divide the routes into task segments, and then establish the network topology model. Secondly, using Tabu Search Algorithm, combine the tasks into duties, which is aimed to balancing the drivers' workload. Finally, take one urban rail transit line for example. The results show that this method can figure out the crew schedule quickly and timely, and can adapt to the frequent modification of timetable by urban rail transit operator.