Integrated Decision Support Systems for Urban Transport Scheduling: Discussion of Implementation and Experience
In recent years the planning and operational management of public transport has become increasingly complex as tighter financial constraints affect the ability to respond to changing demand for travel. The dynamic nature of the problem means that no once and for all balance can be achieved between quality of service and financial policy and yet planning decisions reached often have long term implications. The planning and scheduling problems faced by managers can be classified according to the time horizon considered, as shown in Table 1.
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