Summarily, this paper deals with an optimal control of trains which operate with close headways on automated high-performance, short-haul rapid transit systems. In detail, the operations control system has to fulfil functions as train headway protection subject to an interspacing rule, overspeed detection, proposition of nominal speed profile designed with respect to the standard schedule, and optimal controlling train speeds on-line. In cases of faults and inconsistencies it has to reorganize operations, too. Per calculation of the optimal trajectories of a suitable performance functional there is indicated the associate adaptive control which requires integration into the operational control system. As input information the optimal regulator requires solely actual values which are already on hand for headway protection. The policies developped are tested and proved with the aid of suitable simulation models. The achieved result yielded a harmonic, energy-saving train running even in cases of disturbances.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Optimal traffic control for automated railway systems


    Additional title:

    Optimale Verkehrsregelung fuer automatisierte Zugsysteme


    Contributors:


    Publication date :

    1980


    Size :

    7 Seiten, 5 Bilder, 4 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Optimal traffic control at railway junctions

    Ho, T.K. / Norton, J.P. / Goodman, C.J. | IET Digital Library Archive | 1997


    Optimal traffic control at railway junctions

    Ho, T.K. / Norton, J.P. / Goodman, C.J. | Tema Archive | 1997


    NEW POSSIBILITIES OF RAILWAY TRAFFIC CONTROL SYSTEMS

    Lionginas LIUDVINAVIČIUS / Stasys DAILYDKA / Aleksander SŁADKOWSKI | DOAJ | 2016

    Free access

    Chinese railway traffic control

    Haijun, Zhang | IuD Bahn | 2002


    Air traffic control automated systems

    Bestugin, A. R. / Eshenko, A. A. / Filin, A. D. et al. | SLUB | 2020