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《Journal of Beijing Jiaotong University》 2008-06
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Classification for Passenger Transport Integrative Hubs Based on SOFM Neural Network

CAO Shouhua,YUAN Zhenzhou,HAN Baoming,LI Dewei(School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044,China)  
In this paper, the necessities to construct the integrated traffic hubs are analyzed. Based on the analysis, the evaluating index system is established and the method for planning the public transport integrative hubs using SOFM neural network is brought forward. At last, an example is set by planning the passenger transport integrative hubs in Guangzhou, and the result demonstrates that SOFM is valid for solving such problems.
【Fund】: 国家自然科学基金资助项目(50778016);; 国家“863”计划项目资助(2006AA11Z201)
【CateGory Index】: U115
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