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Volumn 2010, Issue 13342, 2010, Pages

Analysis of energy consumption and traffic flow by means of track occupation data

Author keywords

Driving behaviour; Energy consumption; Railway traffic analysis

Indexed keywords

DRIVING BEHAVIOUR; ENERGY CONSUMPTION; ENERGY MEASUREMENTS; GPS DATA; NEW APPROACHES; NON-LINEAR LEAST SQUARES; OPTIMISATIONS; RAILWAY TRAFFIC; RECONSTRUCTION ALGORITHMS; SIMPLIFIED MODELS; SPEED PROFILE; TRAFFIC FLOW; TRAIN MODEL;

EID: 77956296449     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/ic.2010.0022     Document Type: Conference Paper
Times cited : (2)

References (6)
  • 1
    • 59749105814 scopus 로고    scopus 로고
    • Energy-efficient train operation
    • I. A. Hansen, J. Pachl. (eds.)
    • T. Albrecht. "Energy-efficient train operation". In: I. A. Hansen, J. Pachl. (eds.) Railway Timetable & Traffic. Eurailpress, pp. 83-105 (2008).
    • (2008) Railway Timetable & Traffic. Eurailpress , pp. 83-105
    • Albrecht, T.1
  • 2
    • 36148955836 scopus 로고    scopus 로고
    • Reconstruction of train trajectories from track occupation data to determine the effects of a driver information system
    • WITPress
    • T. Albrecht, R. M. P. Goverde, V. A. Weeda. "Reconstruction of train trajectories from track occupation data to determine the effects of a Driver Information System". In: Computers in Railways X, WITPress, pp. 207-216 (2006).
    • (2006) Computers in Railways X , pp. 207-216
    • Albrecht, T.1    Goverde, R.M.P.2    Weeda, V.A.3
  • 4
    • 77956282278 scopus 로고    scopus 로고
    • The sustainable railway: Use of advisory systems for energy savings
    • I. Mitchell. "The Sustainable Railway: Use of Advisory Systems for Energy Savings". IRSE News, no. 151, pp. 2-7 (2009)
    • (2009) IRSE News , Issue.151 , pp. 2-7
    • Mitchell, I.1
  • 5
    • 77956292619 scopus 로고    scopus 로고
    • TRAINER project website. Address: (Access: 4.1.2010)
    • TRAINER project website. Address: http://w3.disg.uniromal.it/trainer/ (Access: 4.1.2010)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.