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Energy efficient and demand-driven operationof automated rapid transit systems

机译:自动快速运输系统的能源高效和需求驱动的运行

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摘要

In order to offer a more attractive rail transit system to passengers and to en-hancernthe economic efficiency of the operator demand-driven train operation isrnsuggested. A spatial and temporal adaptation of capacity to demand is requiredrnbecause passenger demand uctuates during the day and along the transit line.rnIn this respect, automated transit systems are known to be able to operate ac-cordingrnto demand. In this paper a comparison of traditionally operated urbanrntransit systems and more exible and demand-driven line haul APM systems isrnpresented. The in uence of the vehicle size is examined with respect to demand-drivenrncontrollability of supply, traction energy consumption, eet size and overallrnfleet capacity. An estimation of the potential reduction of traction energy andrnfleet capacity is described. In order to estimate the interaction between demandrnand supply an aggregated transport demand model is used. With the help ofrnthis model an optimal demand-dependent control strategy for the train headwayrncan be derived explicitly taking into consideration the spatiotemporal distribu-tionrnof demand. This strategy considers the vehicle capacity, the minimum andrnmaximum admissible train headway and the change in demand to a change inrnsupply simultaneously. In spite of an increased number of trains per day (shorterrntrain headways), the overall traction energy consumption can be decreased byrnabout 20 % with a demand-driven AGT operation compared to a fixed interval timetable.
机译:为了向乘客提供更有吸引力的铁路运输系统并增强运营商的经济效率,建议以需求为导向的火车运营。由于乘客的需求在白天和沿运输线路变化,因此需要对容量进行时空适应。在这方面,已知自动运输系统能够根据需求运行。在本文中,将传统运营的城市公交系统与更灵活和需求驱动的线路牵引APM系统进行了比较。车辆尺寸的影响是根据需求驱动的供应的可控制性,牵引能耗,eet尺寸和整体机队容量来检查的。描述了对牵引能量和车队能力的潜在降低的估计。为了估计需求和供应之间的相互作用,使用了汇总的运输需求模型。在该模型的帮助下,可以明确考虑时空分布需求,得出列车车距的最佳需求相关控制策略。该策略同时考虑了车辆容量,允许的最小和最大列车车距以及对供不应求的需求变化。尽管每天增加火车数量(缩短车头行程),但与固定间隔时间表相比,在需求驱动的AGT操作下,总牵引能量消耗可减少约20%。

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  • 来源
  • 会议地点 Orlando FL(US)
  • 作者

    S. Scholz; J.Schütte;

  • 作者单位

    Dresden University of Technology, Germany, Faculty of Transportation Sciences"Fried-richrnList", Institute for Transportation System Engineering, D-01062 Dresden, PH +49rn351 463-37824, FAX +49 351 463-37825, email: sven.scholz@mailbox.tu-dresden.de;

    rnDresden University of Technology, Germany, Institute for Transportation System En-gineering,rnD-01062 Dresden, PH +49 351 4640-801, FAX +49 351 4640-803 email: joerg.schuette@ivi.fhg.de;

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