Abstract
Electric rail transit systems in densely populated area are required large amount of energy especially electric energy consumption. Train timetable optimization and speed control are important for energy-efficient railway systems. Train timetable optimization is provided suitable headway to recover regenerative braking energy efficiently. Meanwhile, cruising mode and coasting mode is applied into the speed profile for more additional energy saving. Moreover, regenerated energy during braking is considered to recuperate regenerative braking energy and improve efficiencies for energy recovery systems. Total electric energy consumption diminishes due to increasing of regenerative braking energy. In the meantime, relevant costs also decrease following the lower electric energy consumption effected on regenerative braking energy. This paper provides combination options as guidelines for related authorities or stakeholders while making decisions about minimum energy consumption and related cost for considerations. The methodology to cope with energy minimization and associated cost for justification is proposed with Multi-Objective Particle Swarm optimization. Additionally, Pareto optimal solutions is also considered for evaluation.
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