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This paper mainly focuses on the method of timetable multi-objective optimization considering the randomness of passengers flow. The passenger flow model is established based on the normal distribution of the passenger flow, which is verified through the testing hypotheses for the number of passengers getting on and off the train. In assessment of energy consumption, the train operation between the...
Recently, the railway sector is required to improve energy efficiency. Since no additional hardware investment is required, the authors are focused on the optimisation of the train timetable for less energy consumption. Train timetable contains the slack time for each interstation for robustness against delay. Although energy consumption can be reduced by the slack time, the slack time distribution...
The parallel heating furnaces scheduling problem for hot rolling which aims to achieve energy conservation is discussed in this paper. According to the characteristics of parallel heating furnaces, a multi-objective mathematical model is then established considering mixed charging of cold and hot slabs. The model is to minimize the energy consumption of heating furnaces and a hot rolling mill, with...
We consider a class of prioritized Discrete Event Systems (DES) that involves the control of resources allocated to tasks under real-time constraints. This is motivated by power-limited wireless environments where the objective is to minimize energy consumption while guaranteeing that task deadlines are always met. We discover several structural properties of the optimal sample path of such DES. The...
The principles for good design of battery-aware voltage scheduling algorithms for both a periodic and periodic task sets on dynamic voltage scaling (DVS) systems are presented. The proposed algorithms are based on greedy heuristics suggested by several battery characteristics and Lagrange multipliers. To construct the proposed algorithms,we use the battery characteristics in the early stage of scheduling...
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