Predicting and mitigating small fluctuations in station dwell times

被引:7
|
作者
Pritchard, James [1 ]
Sadler, Jason [2 ]
Blainey, Simon [1 ]
Waldock, Ian [2 ]
Austin, Jeremy [2 ]
机构
[1] Univ Southampton, Transportat Res Grp, Boldrewood Campus,Bldg 176, Southampton SO16 7QF, Hants, England
[2] Univ Southampton, GeoData Inst, Highfield Campus, Southampton SO17 1BJ, Hants, England
关键词
Station dwell; Delay; Modelling;
D O I
10.1016/j.jrtpm.2021.100249
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
On busy railway networks, exceeding station dwell times by only a few seconds can adversely affect overall network performance. However, while these performance impacts are well known, the causes of small dwell time perturbations are not widely understood (or are not widely communicated at an operational level) and exhibit a high level of spatial and temporal variation. A lack of information and understanding makes it difficult to implement effective mitigation measures to reduce the occurrence and impact of such delays. For this paper On Train Monitoring Recorder (OTMR) data were obtained for a large number of services over a 14month period, which included the wheel stop and wheel start timings associated with station stops at a 1 second resolution. These were combined with other relevant data sources in order to investigate small fluctuations in station dwell time. An interface for communicating these variations to railway operating staff was developed, along with models to predict future dwell time fluctuations, potentially enabling mitigation measures to be implemented.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Estimation of bus dwell times with automatic passenger counter information
    Rajbhandari, R
    Chien, SI
    Daniel, JR
    TRANSIT: BUS, PARATRANSIT, RURAL PUBLIC AND INTERCITY BUS, NEW TRANSPORTATION SYSTEMS AND TECHNOLOGY, CAPACITY AND QUALITY OF SERVICE: PUBLIC TRANSIT, 2003, (1841): : 120 - 127
  • [42] A converse Lyapunov theorem for switched linear systems with dwell times
    Wirth, Fabian
    2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, VOLS 1-8, 2005, : 4572 - 4577
  • [43] Single Turnover Measurements of Nanoparticle Catalysis Analyzed with Dwell Time Correlation Functions and Constrained Mean Dwell Times
    Ochoa, Maicol A.
    Chen, Peng
    Loring, Roger F.
    JOURNAL OF PHYSICAL CHEMISTRY C, 2013, 117 (37): : 19074 - 19081
  • [44] NEW MACHINE COMBINES DWELL TIMES TO SLASH OPERATING COSTS
    不详
    SPE JOURNAL, 1971, 27 (05): : 42 - &
  • [45] THEORETICAL ESTIMATION OF DWELL AND CONSOLIDATION TIMES IN ROTARY TABLET MACHINES
    RUIZ, AM
    JIMENEZCASTELLANOS, MR
    CUNNINGHAM, JC
    KATDARE, AV
    DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY, 1992, 18 (19) : 2011 - 2028
  • [46] Bohmian transmission and reflection dwell times without trajectory sampling
    Kreidl, S
    JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 2005, 38 (23): : 5293 - 5303
  • [47] Reverse Average Dwell-Times for Networked Control Systems
    Heijmans, Stefan H. J.
    Postoyan, Romain
    Nesic, Dragan
    Heemels, W. P. Maurice H.
    2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 5480 - 5485
  • [48] Optimal dwell times for persistent monitoring of a finite set of targets
    Yu, Xi
    Andersson, Sean B.
    Zhou, Nan
    Cassandras, Christos G.
    2017 AMERICAN CONTROL CONFERENCE (ACC), 2017, : 5544 - 5549
  • [49] Characterization of single-molecule dwell times beyond photobleaching
    Perera, Thilini
    Fu, Wendi
    Hu, Ying
    SINGLE MOLECULE SPECTROSCOPY AND SUPERRESOLUTION IMAGING XIII, 2020, 11246
  • [50] BUILT-IN HARMONIC DRIVES ADJUST CAMS DWELL TIMES
    STEFANID.EJ
    DESIGN NEWS, 1974, 29 (08) : 42 - 43