Design of energy-Efficient timetables in two-way railway rapid transit lines

- We propose a methodology to design timetables with minimum energy consumption in RRT Networks.
- We consider empirical descriptions of the train energy consumption as a function of running times.
- We formulate the problem of timetable design as a passenger load-dependent optimization problem.
- The MINLP formulation is fully linearized assuming the load of trains is known and solved by using a sequential MILP algorithm.
- Our methodology demonstrate the need of considering all the services running during the planning horizon in both directions.
- We point out the need of considering the energy consumption as part of a broad objective function that includes other relevant costs.

A methodology to design energy-efficient timetables in Rapid Railway Transit Networks is presented. Using an empirical description of the train energy consumption as a function of running times, the timetable design problem is modelled as a Mixed Integer Non-Linear optimization problem (MINLP) for a complete two-way line. In doing so, all the services in both directions along a certain planning horizon are considered while attending a known passengers' demand. The MINLP formulation, which depends on train loads, is fully linearised supposing train loads are fixed. A sequential Mixed Integer Linear solving procedure is then used to solve the timetabling optimization problem with unknown train loads. The proposed methodology emphasizes the need of considering all the services running during the planning horizon when designing energy-efficient timetables, as consequence of the relationship among train speeds, frequency and fleet size of each line. Moreover, the convenience of considering the energy consumption as part of a broad objective function that includes other relevant costs is pointed out. Otherwise, passengers and operators could face up to an increase in the whole cost and a decrease in the quality of service. A real data scenario, based on the C-2 Line of the Madrid Metropolitan Railways, is used to illustrate the proposed methodology and to discuss the differences between the energy-efficient solutions and those obtained when considering operation and acquisition costs.