Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10289161 | Journal of Rail Transport Planning & Management | 2015 | 20 Pages |
Abstract
This benchmarking and evaluation method is based on collecting data at selected observation points on train and service ID, position, and time from either simulation or from data feeds of real operations. With the addition of data on train and network characteristics, this collected data can be processed in such a way as to evaluate the key measures outlined in a previously defined Quality of Service framework. The key measures quantify the following KPIs of the model: transport volume, journey time, connectivity, punctuality, resilience, energy consumption and resource usage.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Gemma L. Nicholson, David Kirkwood, Clive Roberts, Felix Schmid,