Abstract
The evaluation of railway line capacity is an important problem, which effects majority of problems in rail transportation planning. The railway capacity is dependent on infrastructure, traffic, and operating parameters. A key factor affecting railway line capacity is the impact of different train types. As the combination of different train types increases, more interference is generated. In this paper, for evaluation of train type interactions on railway line capacity, an integer-programming model for both line and line section is presented. The problem is formulated as a multicommodity network design model on a space-discrete time network. The railway capacity is calculated using data typically available to planners. The inputs of the model are the characteristic of each train type and railway line attributes. The model determines railway capacity based on train type mixes. In addition, this model considers impact of train types on capacity and waiting time. In order to show the features of the model, a case study is implemented in Iran Railways. The capacity tends to increase non-linearly with small incremental changes in parameters. The mixture of train types reduces the railway line capacity. The proposed model can help railway managers for long-term planning.
Highlights
The main goal of railway transport is to attract a maximum number of customers and load on planned or existing lines with a minimum of investment cost, personnel, equipment, energy consumption, operating and maintenance costs (Hansen 2010).Railway line capacity depends on railway infrastructure and timetable and, thereby, implicitly on the rolling stock used; and it can be measured with given actual infrastructure and timetable (Landex 2009)
This method follows the main guidelines defined in UIC 406 capacity leaflet, which aims at calculating the capacity of railway lines
Since each train in each time unit travels on the line section or waits at the nodes, two sets of arcs are defined
Summary
The main goal of railway transport is to attract a maximum number of customers and load on planned or existing lines with a minimum of investment cost, personnel, equipment, energy consumption, operating and maintenance costs (Hansen 2010). Trains require overtaking and crossing, and the mixture reduces the traffic flow Each of these train types can have significantly different characteristics and even trains of the same class may have varying weights and lengths. We perform analysis using mathematical modelling to determine the impacts of different train types on railway line capacity. The main contribution of this research is to present an optimization model for evaluation of the interaction of different train types on railway line and line section capacity by using data typically available to planners. –– an optimization model to evaluate the interaction of different train types on railway lines and line sections considering train type priority;.
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