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Coast control for mass rapid transit railways with searching methods
Author(s) -
K.K. Wong,
Т.K. Ho
Publication year - 2004
Publication title -
iee proceedings - electric power applications
Language(s) - English
Resource type - Journals
eISSN - 1359-7043
pISSN - 1350-2352
DOI - 10.1049/ip-epa:20040346
Subject(s) - schedule , service (business) , dwell time , operations research , computer science , control (management) , transit (satellite) , heuristic , task (project management) , point (geometry) , transport engineering , operations management , public transport , engineering , economics , mathematics , economy , artificial intelligence , medicine , clinical psychology , geometry , systems engineering , operating system
With daily commercial and social activity in cities, regulation of train service in mass rapid transit railways is necessary to maintain service and passenger flow. Dwell-time adjustment at stations is one commonly used approach to regulation of train service, but its control space is very limited. Coasting control is a viable means of meeting the specific run-time in an inter-station run. The current practice is to start coasting at a fixed distance from the departed station. Hence, it is only optimal with respect to a nominal operational condition of the train schedule, but not the current service demand. The advantage of coasting can only be fully secured when coasting points are determined in real-time. However, identifying the necessary starting point(s) for coasting under the constraints of current service conditions is no simple task as train movement is governed by a large number of factors. The feasibility and performance of classical and heuristic searching measures in locating coasting point(s) is studied with the aid of a single train simulator, according to specified inter-station run times.Department of Electrical Engineerin

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