Assessing the effects of several variables on freight train fuel consumption and performance using a train performance simulator |
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| Institution: | 1. School of Computing and Artificial Intelligence, Southwest Jiaotong University, China;2. NOGA - Israel Independent System Operator, Israel;3. University of Massachusetts, Dartmouth, MA 02747, USA |
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| Abstract: | The impact of several variables on freight train fuel consumption and performance are assessed using a train performance simulator. These variables include: wind, precipitation, number of cars, and number and type of locomotives. The input to the train performance simulator includes data related to train characteristics and data related to external conditions such as weather. The simulator output represents fuel consumption expected under a given set of conditions. Graphical and cost/benefit approaches were used to assess operations alternatives. |
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