Train Control

Abstract: Transportation engineers have created a Matlab code for controlling the movement of a train along its scheduled route for optimum efficiency, but their model is deterministic with no accounting for the stochastic variation in the passenger load or local weather conditions that influence performance. This thinkover will explore how we can edit the model within Matlab to take account of these stochastic factors to test and evaluate the movement controller in a more realistic setting.

Speaker Hongbo Ye is a new lecturer in Civil Engineering at the University of Liverpool. He holds a PhD from The Hong Kong University of Science and Technology where he was a research associate and a BEng in Automation from University of Science and Technology of China. He was also a research fellow in the Institute for Transport Studies at University of Leeds. He has worked in projects funded by RSSB, Newton Fund, Horizon 2020 and Innovate UK. His research aims to improve transportation system efficiency and sustainability to benefit both travellers and the operators.

Files (download by clicking on the down arrows below)

metro.m : simple deterministic model without braking

metro.slx : early implementation in Simulink

metro0.m : version that made the graphs on the slides

train.m : deterministic model with braking

data.mat : lookup table data needed by train.m

slowtrain.m : just the same as train.m but with animation

Github repository https://github.com/ScottFerson/traincontrol