Research and development of automatic train operation for railway transportation systems: A survey

J Yin, T Tang, L Yang, J Xun, Y Huang, Z Gao - … Research Part C: Emerging …, 2017 - Elsevier
With the rapid development of communication, control and computer technologies in the last
several decades, automatic train operation (ATO), for which the driver no longer has to …

Speed profile tracking by an adaptive controller for subway train based on neural network and PID algorithm

Q Pu, X Zhu, R Zhang, J Liu, D Cai… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Train running performance largely depends on the controller. In order to improve the
controller performance of speed profile tracking, an adaptive control method for subway …

Shrinking horizon parametrized predictive control with application to energy-efficient train operation

H Farooqi, L Fagiano, P Colaneri, D Barlini - Automatica, 2020 - Elsevier
A nonlinear model predictive control approach is studied, for problems where a fixed
terminal instant and corresponding terminal set to be reached are imposed. The new …

[HTML][HTML] Direct multiple shooting for computationally efficient train trajectory optimization

D Kouzoupis, I Pendharkar, J Frey, M Diehl… - … Research Part C …, 2023 - Elsevier
Energy efficient train control has been an active field of research for several decades, with
Pontryagin's maximum principle and dynamic programming being the two most common …

Design of a switching nonlinear MPC for emission aware ecodriving

GP Incremona, P Polterauer - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Advanced automation and information systems are shaping the future of transportation by
enabling advanced approaches, such as ecodriving control strategies, which improve safety …

Railway collaborative ecodrive via dissension based switching nonlinear model predictive control

H Farooqi, GP Incremona, P Colaneri - European Journal of Control, 2019 - Elsevier
This paper deals with the design of a switched Nonlinear Model Predictive Controller
(NMPC) for collaborative ecodrive control of railway vehicles. Relying on a discrete …

A switching nonlinear MPC approach for ecodriving

P Polterauer, GP Incremona… - 2019 American …, 2019 - ieeexplore.ieee.org
In recent years many works focusing on improved vehicle fuel efficiency through advanced
control have been carried out, reflecting the high interest in ecodriving of vehicles. Although …

[PDF][PDF] Emission aware ecodriving control

P Polterauer - Ph. D. dissertation, 2019 - epub.jku.at
Advanced automation and information systems are shaping the future of transportation. They
improve safety and energy efficiency of personal transport by enabling advanced …

Collaborative eco-drive of railway vehicles via switched nonlinear model predictive control

H Farooqi, GP Incremona, P Colaneri - IFAC-PapersOnLine, 2018 - Elsevier
Abstract A switched Nonlinear Model Predictive Control (NMPC) strategy for time efficient
energy control of railway vehicles, while fulfilling constraints on velocity, journey time and …

TTOBench—an Open-Source Library for Train Trajectory Optimization

D Kouzoupis, I Pendharkar, F Corman - Operations Research Forum, 2023 - Springer
Over the past few years, the field of train trajectory optimization has been enriched with
numerous publications proposing novel solution algorithms, solving known practical …