چكيده به لاتين
An important part of urban transit systems consists of public transit systems such as subway. Since the construction of transit systems in major cities, require huge investments, effective use of current operational transit systems can be useful for transit decision-makers to better manage the demands. On the other hand, the number of underground network travelers, such as the subway is growing. Thus providing schedule optimal and coordinate for the different periods of the day (peak and off-peak periods) in order to attract passengers to use public transit system is very important. So in order to reach these objectives, we propose a model of multi-objective with goals to minimize the passenger waiting time at the intersection stations by applying weight to them, directions and lines as well as minimizing the operational costs of company deals with operational restrictions such as dwelling time of the first trip in each line at the related period, the start time of last trip each line in the corresponding period and constraints related to headway and dwelling time train in the intersection stations. In order to obtain more realistic results, the multi-objective model is considered as a multi-period, since in real-world, sequences of trains and passenger volumes in transition (peak to off-peak or vice versa) are different.
To validate the multi-period timetable model, The Tehran subway case study is used. To solve the multi-period –multi-objective model, the ε-constraint method used and the results have been analyzed.
Keywords: urban transit, multi-period timetable, ε-constraint method, multi-objective model
