Applications of real-time speed control in rail-bound public transportation systems

This study gives an overview on applications of speed optimisation as one control measure for intelligent traffic management in rail-bound public transportation systems. The concept of operational target points and target windows is introduced. Speed and dwell time control are used to reach these ta...

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Bibliographic Details
Published in:IET intelligent transport systems 2013-09, Vol.7 (3), p.305-314
Main Authors: Albrecht, Thomas, Binder, Anne, Gassel, Christian
Format: Article
Language:English
Subjects:
ATO
automatic train operation
Control systems
DAS
Deviation
driver advisory systems
dwell time control
Energy consumption
energy consumption reduction
intelligent traffic management
operational target points
optimisation
Public transportation
rail traffic
railways
rail‐bound passenger transportation systems
rail‐bound public transportation systems
real‐time speed control
Speed control
speed optimisation
speed time control
Strategy
system‐related bottlenecks
timetable deviation
Timetables
transportation
Transportation systems
velocity control
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Summary:This study gives an overview on applications of speed optimisation as one control measure for intelligent traffic management in rail-bound public transportation systems. The concept of operational target points and target windows is introduced. Speed and dwell time control are used to reach these targets, thereby improve throughput through system-related bottlenecks and reduce energy consumption. Different rail-bound transportation systems are compared and requirements for the application of speed control are derived. Case studies for three different rail-bound passenger transportation systems are presented that demonstrate the potential effects of these control methods on energy consumption and timetable deviation. These control strategies can be implemented using driver advisory systems (DAS) or fully automatic train operation (ATO).
ISSN:1751-956X
1751-9578
DOI:10.1049/iet-its.2011.0187