標題: A fuzzy clustering approach to real-time demand-responsive bus dispatching control
作者: Sheu, HB
運輸與物流管理系 註:原交通所+運管所
Department of Transportation and Logistics Management
關鍵字: forecasting;fuzzy clustering;advanced public transportation systems;bus dispatching
公開日期: 16-Mar-2005
摘要: Quick response (QR) to passenger needs is a key objective for advanced public transportation systems (APTS), and it has become increasingly important for contemporary metropolitan bus operations to gain a competitive advantage over private transportation. This paper presents a real-time control methodology for demand-responsive bus operations that respond quickly to passenger needs. The proposed method primarily involves two levels of functionality: (1) short-term forecasting of passenger demands using time-series prediction models, and (2) identification of service strategies coupled with the associated bus service segments using fuzzy clustering technologies in response to variances in passenger demand attributes and traffic conditions. The proposed bus operations method identifies the demand-responsive vehicle service strategies primarily according to the predicted up-to-date attributes of passengers' demands, rather than deterministic passenger arrival rates, which were generally used in previous literature. In addition, the variation of traffic conditions along bus lines is considered in the proposed method. Results from numerical studies using real data of passengers' demands, including passenger volume at each bus stop and the passenger origin-destination (O-D) patterns, are presented to demonstrate the effectiveness of the proposed method for real-world applications. (C) 2004 Elsevier B.V All rights reserved.
URI: http://dx.doi.org/10.1016/j.fss.2004.05.006
http://hdl.handle.net/11536/13895
ISSN: 0165-0114
DOI: 10.1016/j.fss.2004.05.006
期刊: FUZZY SETS AND SYSTEMS
Volume: 150
Issue: 3
起始頁: 437
結束頁: 455
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