Traffic Flow Hidden Measure and Assignment Model for the Uncertain Direction Military Traffic Network
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摘要: 为了解决原有军事路网隐蔽性测度模型中存在的不同运量在相同路况下隐蔽性测度值相等的悖论, 以及路网定向性导致分配非最优两方面缺陷, 本文在对隐蔽性测度方法进行修正以及对非定向军 事路网三方面性质(始点终点相连路段的定向性、路网的可转换性、中点相连路段的后定向性) 详细分析的基础上,提出了一个基于隐蔽性测度修正方法的非定向军事路网交通流分配模型, 并针对模型在计算过程中可能出现的循环流现象提出了逐步去环的解决方法.最后,通过算例证 实了非定向路网三方面性质及计算中可能存在的循环流现象,计算过程和结果充分说明新模型的可行性与实用性.Abstract: We first revise the hidden measure method and analyze the three natures of the uncertain direction military traffic network such as the direction determinacy of the beginning and end points, the convertibility of the traffic network, and the direction after-determinacy of the center points. Then, we derive a traffic flow hidden measure and assignment model for the uncertain direction military traffic network, which could make up for two deficiencies of the old models, i.e., the same concealment value about the different flows even in the same conditions and the direction determinacy hypothesis of the whole military traffic network. Next, we propose a subsets algorithm to avoid the circle flow, which could appear during the computational process of the new model. At last, the above natures and circle flow phenomenon are proved by an example, in which the feasibility and the usability of the new model and method are also reflected.
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Key words:
- Military traffic network /
- traffic flow /
- concealment /
- circle flow /
- information entropy
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[1] Fang Zhi-Geng, Liu Si-Feng, Dang Yao-Guo, Zhang De, Cheng Han-Hua. The military traffic flows distribution model research of maximum gray information entropy based on maximum concealment. Chinese Journal of Management Science, 2003, 11(3): 56-61(方志耕, 刘思峰, 党耀国, 张德, 程汉华. 最大灰信息熵路网军事交通流最大隐蔽性分配模型研究. 中国管理科学, 2003, 11(3): 56-61)[2] Fang Zhi-Geng. Zhou Wei, Chen Chang-Jun. The measure of road confidentiality in the entire road conditions and application in the military traffic flows. China Soft Science, 2009, (8): 155-161(方志耕, 周伟, 陈长军. 全路况隐蔽性测度及其在军事路网交通流分配中的应用. 中国软科学, 2009, (8): 155-161)[3] Zhu Dai-Shu, Ni Bin-Hai. How to ensure wartime military traffic flow in information age. China Ordnance, 2008, (6): 50(朱代树, 倪滨海. 信息化条件下如何确保战时军事交通畅通. 中国民兵, 2008, (6): 50)[4] Liu Hong-Li, Feng Bo-Lin. Distribution of cities' traffic flow based on ideas of optimization. Journal of Wuhan University of Technology (Transportation Science and Engineering), 2005, 29(6): 913-916(刘洪丽, 冯伯林. 基于最优化思想的城市交通流分配. 武汉理工大学学报(交通科学与工程版), 2005, 29(6): 913-916)[5] Chiou S W. TRANSYT derivatives for area traffic control optimization with network equilibrium flows. Transportation Research Part B: Methodological, 2003, 37(3): 263-290[6] Guo Rui-Jun, Wang Wan-Xiang. One improvement to find the nearest route by matrix iteration method in traffic flow distribution. Journal of Dalian Jiaotong University, 2008, 29(4): 41-44(郭瑞军, 王晚香. 交通流分配中利用矩阵迭代法计算最短路径的一点改进. 大连交通大学学报, 2008, 29(4): 41-44)[7] Wang Jing-Yuan, Wang Wei. Application of auction algorithm for shortest paths in the traffic flow assignment. Journal of Transportation Engineering and Information, 2007, 5(3): 16-20(王京元, 王炜. 最短路拍卖算法在交通流分配中的运用. 交通运输工程与信息学报, 2007, 5(3): 16-20)[8] Ben A M, Cuneo D, Hasan M, Jha M, Yang Q. Evaluation of freeway control using a microscopic simulation laboratory. Transportation Research Part C: Emerging Technologies 2003, 11(1): 29-50[9] Wang Su-Xin, Gao Li, Cui Xiao-Guang, Cao Hong-Mei. Study on multi-requirement points vehicle scheduling model and its swarm mix algorithm. Acta Automatica Sinica, 2008, 34(1): 102-104(王素欣, 高利, 崔小光, 曹宏美. 多需求点车辆调度模型及其群体智能混合求解. 自动化学报, 2008, 34(1): 102-104)[10] Hou Zhong-Sheng, Jin Shang-Tai, Zhao Ming. Iterative learning identification method for the macroscopic traffic flow model. Acta Automatica Sinica, 2008, 34(1): 64-71(侯忠生, 金尚泰, 赵明. 宏观交通流模型参数的迭代学习辨识方法. 自动化学报, 2008, 34(1): 64-71)[11] Li Yan, Dai Ming-Qiang, Wen Lin. Traffic assignment model of wartime transportation network based on transportation risk. Ordnance Industry Automation, 2009, 28(2): 22-24, 29(李岩, 戴明强, 温林. 基于运输风险的战时运输网络交通流分配模型. 兵工自动化, 2009, 28(2): 22-24, 29)[12] Chen Jian-Lin, Chen Pei. Study on evaluating the guarantee ability of military traffic and transport network in war zone. Railway Transport and Economy, 2005, 27(5): 79-80(陈建林, 陈蓓. 战区军事交通运输网络保障能力评价研究. 铁道运输与经济, 2005, 27(5): 79-80)[13] Fang Zhi-Geng, Gong Zheng, Huang Xi-Lin. Research on random network model for synthetic maneuver projection of military traffic transportation service by highway. Systems Engineering Theory and Practice, 2000, 20(4): 132-135(方志耕, 龚正, 黄西林. 公路军事交通运输勤务综合演习项目GERT网络模型研究与分析. 系统工程理论与实践, 2000, 20(4): 132-135)[14] Yu Ren-De, Zhang Hong-Bin, Li Da-Long. The evaluating model of road traffic safety based on data envelopment analysis. Systems Engineering Theory and Practice, 2007, 27(8): 159-166(宇仁德, 张洪宾, 李大龙. 基于DEA理论的交通安全评价模型. 系统工程理论与实践, 2007, 27(8): 159-166)[15] Zeng Yun-Qing, Wang Chun-Ying, Zhou De-Rong, Jia Yong-Tao. The application of fuzzy synthesis evaluation of entropy weight in evaluating national defense transportation network of land. Journal of Academy of Military Transportation, 2007, 9(4): 62-65, 85(曾运清, 王春颖, 周德荣, 贾永涛. 熵权值模糊综合评价法在陆路国防交通网络评价研究中的应用. 军事交通学院学报, 2007, 9(4): 62-65, 85)[16] Xie Lun, Wang Zhi-Liang, Ren Dong-Chun, Teng Shao-Dong. Research of driver emotion model under simplified traffic condition. Acta Automatica Sinica, 2010, 36(12): 1732-1743(解仑, 王志良, 任冬淳, 滕少冬. 简化路况模式下驾驶员情绪模型的研究. 自动化学报, 2010, 36(12): 1732-1743)[17] Qiu Wan-Hua. Management Decision and Application of Entropy. Beijing: China Machine Press, 2001. 358-364(邱菀华. 管理决策与应用熵学. 北京: 机械工业出版社, 2001. 358-364)[18] Shannon C E. A mathematical theory of communication. Bell Systems Technical Journal, 1948, 27: 379-423[19] Abbas A E. Maximum entropy utility. Operation Research 2006, 54(2): 277-290[20] Xiao Yu-Ming, Wang Xian-Yu. Early warning analysis on stability of supply chain based on entropy. Journal of Industrial Engineering and Engineering Management, 2008, 22(3): 57-63(肖玉明, 汪贤裕. 基于熵理论的供应链稳定性预警分析. 管理工程学报, 2008, 22(3): 57-63)[21] Chen Dong-Hua. Application of structure entropy in research of transport network. Communications Standardization, 2008, (6): 176-179, 250(陈冬华. 结构熵在交通运输网研究中的应用. 交通标准化, 2008, (6): 176-179, 250)[22] Yang J P, Qiu W H. A measure of risk and a decision-making model based on expected utility and entropy. European Journal of Operational Research, 2005, 164(3): 792-799
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