Development of a train driver advisory system: ETO

摘要

This paper introduces a prototype new train driver advisory system, ETO (Energy-efficient train operation). ETO's main functions aim at advising train drivers to maintain an energy-efficient and punctual train operation. It adopts the multiple phase optimal control method and the pseudospectral method as the modelling and solution methods for train trajectory calculation. It provides advisory speeds and driving regimes to guide train drivers. ETO is able to dynamically adjust the advised trajectories in case of time deviations caused by the trains not following the advised trajectories. The framework and data flow of the ETO system are introduced, as well as the methods for the implementation of the real-time trajectory optimization and the advice generation. Demonstration of the ETO system in a laboratory environment with real-word instances from the Netherlands are presented. The test scenarios show that the ETO system is good at real-time performance, and accurate computation. The efficiency of train movements is improved with the help of ETO.