A Decision Support Tool for Energy-Optimising Railway Timetables Based on Behavioural Data
暂无分享,去创建一个
Rune M. Jensen | Mathias Bejlegaard Madsen | Matthias Villads Hinsch Als | Sune Edinger Gram | R. M. Jensen | M. Madsen
[1] Rob M.P. Goverde,et al. Running time supplements: Energy-efficient train control versus robust timetables , 2015 .
[2] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[3] Paloma Cucala,et al. A Method to Optimise Train Energy Consumption Combining Manual Energy Efficient Driving and Scheduling , 2010 .
[4] Lacra Pavel,et al. A two-step linear programming model for energy-efficient timetables in metro railway networks , 2015, 1506.08243.
[5] Hans-Peter Kriegel,et al. OPTICS: ordering points to identify the clustering structure , 1999, SIGMOD '99.
[6] Antonio Fernández-Cardador,et al. Fuzzy optimal schedule of high speed train operation to minimize energy consumption with uncertain delays and driver's behavioral response , 2012, Eng. Appl. Artif. Intell..
[7] Matteo Fischetti,et al. Modeling and Solving the Train Timetabling Problem , 2002, Oper. Res..