1E11 Identification of a 'Driver Culture' and its effect on energy consumption on a DC rail network (Environment and Energy)

抄録

Performance analytics have successfully been implemented in sports, education and business & commerce. This paper presents data analysis that is intended to reduce energy consumption in the rail sector by evaluating the performance of drivers on a 750v DC network in Great Britain. Services on the Merseyrail Northern Line, to and from Hunts Cross to Southport, were picked out from data recorded on an instrumented British Rail Class 508, for the three month period September to November 2011. Aggression metrics during the acceleration period and deceleration period were classified for each run as well as energy consumption and running time, this was then used to group runs into distinct clusters. Clustering represents driver performance for the three month period which can be used to demonstrate a driver culture that exists within a relatively small group of driver personal. Driver instruction can be improved by evaluating performance data which can be used to reduce energy consumption by 10% on the observed line.