Open AccessMitigating errors of predicted delays of a train at neighbouring stops
Author(s) -
Zhang Lukai,
Feng Xuesong,
Ding Chuanchen,
Liu Yi
Publication year - 2020
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2019.0365
Subject(s) - train , control theory (sociology) , linear quadratic regulator , computer science , control engineering , quadratic equation , state (computer science) , engineering , state space , control (management) , algorithm , mathematics , artificial intelligence , statistics , cartography , geography , geometry
Delay prediction is significant for the well‐organised operation of trains. Meanwhile, the accurate prediction is interfered by comprehensive factors in practice, hence there are always quite a few predicted errors due to cascading effect in operation. This study newly proposes a method based on state‐space equations to mitigate errors of predicted delays of a train at neighbouring stops. A linear quadratic regulator for reducing errors is developed from modern control theory. Moreover, necessary derivation and proof processes are made to support the method. An artificial fish swarm algorithm is designed to determine necessary parameters of the regulator, and the corresponding simulation is achieved by the SIMULINK architecture. The new method is able to be an effective reference for theoretical innovation and practical application in the operation of railway systems.