吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (02): 334-338.

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Capacity calculation for freight transportation network under comprehensive transportation system

LIU Jie, HE Shi-wei, SONG Rui, JIANG Jin-liang   

  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  • Received:2010-12-12 Online:2012-03-01 Published:2012-03-01

Abstract: The comprehensive freight transportation network was converted to convert the node-to-node transfer constraints to the capacity constraints of road sections. The K shortest paths of each OD pain was calculated and used as the selectable path set. Considering the influence of OD demand split or not and the freight transfer capacity of the node on the capacity of the comprehensive freight transportation network, a calculation model was built for the capacity of the comprehensive freight transportation network, and its solving idea and corresponding immune clone algorithm were presented. An example was chosen to test the proposed model and the corresponding algorithm, and the results showed that they were characterized by strong practicality.

Key words: engineering of communications and transportation, comprehensive transportation, network capacity, selectable path set, immune clone algorithm

CLC Number: 

  • U491
[1] Transportation Research Board.Highway Capacity Manual 2000[M].Washington DC:SA Federal Transit Administration in Cooperation with the Transit Development Corporation, 2000.

[2] Minyoung Park. Capacity modeling for muti-modal freight transportation networks.Irvine: University of California Irvine, 2005.

[3] 苏顺虎,陈治亚,何世伟,等.基于服务水平的铁路货物运输网络能力计算方法研究[J].中国铁道科学, 2009, 30(2): 113-118. Su Shun-hu, Chen Zhi-ya, He Shi-wei, et al. Capacity modeling for railway freight network based on service level[J]. China Railway Science, 2009, 30(2):113-118.

[4] 施其洲.铁路网络系统运输能力与车流路径模型[J].铁道学报, 1996, 18(4):1-9. Shi Qi-zhou. Models for rail network system transportation capacity and traffic pathing[J]. Journal of the China Railway Society, 1996, 18(4):1-9.

[5] Yang Hai, Michael G H Bell, Meng Qiang. Modeling the capacity and level of service of urban transportation networks[J]. Transportation Research Part B: Methodological, 2000, 34: 255-275.

[6] 何世伟,宋瑞,戴新鎏,等.路网运输能力及计算方法研究[J].铁道学报, 2003, 25(2): 5-9. He Shi-wei, Song Rui, Dai Xin-liu, et al. Study on optimal methods for evaluating the carrying capacity of railroad network[J]. Journal of the China Railway Society, 2003, 25(2):5-9.

[7] 黄友锐.智能优化算法及其应用[M].北京: 国防工业出版社, 2008.
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