A Novel Train Rescheduling Algorithm For
Correcting Disrupted Train Operations
In A Dense Urban Environment
Author(s)
K. Kumazawa, K. Hara & T. Koseki
Abstract
Train rescheduling during disrupted service is a substantially significant task for
urban railway operators. This task typically depends on the experiences and
personal decisions of the professional operators. The operators use neither
systematic methodologies for modifying train schedules nor quantitative criteria
for measuring the quality of the rescheduled plans. Thus, operators have
requested assistance in the form of a computer-aided train-rescheduling
program. The authors have created a computer-aided train rescheduling system
that seeks to minimize passenger inconvenience. The rescheduling algorithm
calculates a value for the amount of inconvenience experienced by the passenger.
In addition to a conventional passenger flow analysis, the authors’ algorithm
considers passenger overflow, which is defined as waiting time experienced by a
passenger while queuing on a platform. The proposed rescheduling method also
introduces the idea that the time required to create, broadcast, and implement a
new plan of train operation is itself a delay which must be accounted for in order
to render a realistic passenger flow analysis during disordered operation. The
causality of train system events after the initial event that caused the disruption
of service is discussed for a realistic analysis of passenger flow.
Keywords: train rescheduling, assistance system, evaluation.
1 Introduction
The rescheduling of train operations is often needed when a train operation is
disordered by various malfunctions or accidents. The main tasks are presently
Keywords
train rescheduling, assistance system, evaluation.
Related Book
Other papers in this volume
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