Model predictive control approach for recovery from delays in railway systems.

Author(s)
Schutter, B. de Boom, T. van den & Hegyi, A.
Year
Abstract

The model predictive control (MPC) framework, a very popular controller design method in the process industry, is extended to transfer coordination in railway systems. In fact, the proposed approach can also be used for other systems with both hard and soft synchronization constraints, such as logistic operations. The main aim of the control is to optimally recover from delays by breaking connections (at a cost). In general, the MPC control design problem for railway systems leads to a nonlinear, nonconvex optimization problem. Computing an optimal MPC strategy using an extended linear complementarity problem is demonstrated. Also presented is an extension with an extra degree of freedom to recover from delays by letting some trains run faster than usual (again at a cost). The resulting extended MPC railway problem can also be solved using an extended linear complementarity problem.

Request publication

2 + 7 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.

Publication

Library number
C 29276 (In: C 29273 S [electronic version only]) /72 / ITRD E821874
Source

In: Transit : intermodal facilities, rail transit, commuter rail, light rail transit, maintenance, and ferry transportation, Transportation Research Record TRR 1793, p. 15-20, 13 ref.

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.