Change search
ReferencesLink to record
Permanent link

Direct link
Efficient driving algorithms for non-disturbed and disturbed trains with the CBTC signalling system
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-8189-2420
2015 (English)In: 2015 International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2015, IEEE conference proceedings, 2015, 418-425 p.Conference paper (Refereed)Text
Abstract [en]

Trains with automatic train operation (ATO)-communication-based train control (CBTC) have the capability to follow a predesigned or calculated speed profile and also can change the control command at any point of the route. This paper presents the advances in the research about designing driving profiles for ATO trains under the CBTC signalling system. Two algorithms based on simulation are proposed, one for the offline design of single undisturbed train trajectories and the other is a real-time algorithm to save energy when there is interaction between two consecutive trains. These algorithms were tested using a simulation-based metaheuristic optimization for the first case and a two-train tracking simulator for the second. The results showed that energy savings could be attained using the proposed algorithms maintaining the required safety and passenger comfort levels in the railway operation.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 418-425 p.
Keyword [en]
ATO, CBTC, disturbed train, energy-efficient, Fuzzy, NSGA-II-F, optimization, pseudo-Pareto front, simulation, tracking algorithm, Algorithms, Automatic train control, Energy conservation, Energy efficiency, Intelligent systems, Intelligent vehicle highway systems, Railroad traffic control, Railroad transportation, Transportation, Energy efficient, NSGA-II, Pareto front
National Category
Vehicle Engineering
URN: urn:nbn:se:kth:diva-181604DOI: 10.1109/MTITS.2015.7223289ISI: 000380478600057ScopusID: 2-s2.0-84951135918ISBN: 9789633131428OAI: diva2:900553
International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2015, 3 June 2015 through 5 June 2015

QC 20150204

Available from: 2016-02-04 Created: 2016-02-02 Last updated: 2016-09-05Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Söder, Lennart
By organisation
Electric Power Systems
Vehicle Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 117 hits
ReferencesLink to record
Permanent link

Direct link