Demand-driven train operation is the basic prerequisite both for offering a more attractive railway system to passengers and for economic success of the operator. The variation of passenger demand during the day and along the transit line requires an adaptation of supply in order to operate the transit system economically. In this paper a new approach is presented to estimate the operational efficiency of Automated Guideway Transit (AGT) systems with respect to the degree of adaptation to spatiotemporal demand variation. An aggregated model is used to determine optimal train headways in order to achieve a supply-demand equilibrium. An optimal demand-dependent control strategy of transport supply is proposed, taking into account the vehicle capacity. In order to describe the degree of demand-supply adaptation an alternative quality criterion is used called traffic efficiency. The traffic efficiency of the developed concepts converges to approximately 27 to 34% which corresponds to international empiric observations of successful AGT-systems with flexible service pattern, for example in Lille, Vancouver, Lyon or Toulouse.
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