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平行公交系统中的计算实验问题研究

DOI: 10.3724/SP.J.1004.2013.01011, PP. 1011-1017

Keywords: 智能交通,平行公共交通系统,代理,计算实验

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Abstract:

?研究了在平行公交系统中如何进行计算实验的问题.平行公交系统中的计算实验主要通过以下三步完成:1)基于简化的数学模型的求解确定初始的公交发车时间间隔;2)在一个较小范围内不断调整公交车发车间隔,在平行公交系统中运行观察其运行效果,形成不同的发车间隔方案;3)建立方案评价体系,对得到的发车间隔方案进行评估,确定最优发车方案.在本文的计算实验实例中,共进行了6次计算实验,得到了一个最优的发车方案,并基于结果数据说明了论文所提方法的其合理性.

References

[1]  Wang Fei-Yue. Parallel system methods for management and control of complex systems. Control and Decision, 2004, 19(5): 485-489, 514 (王飞跃. 平行系统方法与复杂系统的管理和控制. 控制与决策, 2004, 19(5): 485-489, 514)
[2]  Han Yin. Research on optimization of intelligent public transport headway based on genetic algorithm. Computer Engineering and Applications, 2008, 44(33): 243-245 (韩印. 基于遗传算法的智能公交发车频率优化研究. 计算机工程与应用, 2008, 44(33): 243-245)
[3]  Yang Z W, Zhao S C, Zhao Q. Research on bus scheduling based on artificial immune algorithm. In: Proceedings of the 4th International Conference on Wireless Communications, Networking and Mobile Computing. Dalian, China: IEEE, 2008. 1-4
[4]  Zhang Yi, Luo Yuan, Zheng Tai-Xiong. Mobile robot technology and it's applications. Information Fusion. Beijing: Electronic Industry Press, 2007 290-310(张毅, 罗元, 郑太雄. 移动机器人技术及其应用. 北京: 电子工业出版社, 2007)
[5]  Su Zhao-Pin, Jiang Jian-Guo, Xia Na, Zhang Guo-Fu. An evaluation method for agent coalition based on D-S evidence theory. Pattern Recognition and Artificial Intelligence, 2007, 20(5): 624-629 (苏兆品,蒋建国,夏娜,张国富.一种基于D-S证据理论的Agent联盟评价方法. 模式识别与人工智能, 2007, 20(5): 624-629)
[6]  Tansel iC, Yurdakul M. Development of a quick credibility scoring decision support system using fuzzy TOPSIS. Expert Systems with Application, 2010, 37(1): 567-574
[7]  Wang F Y. Computational experiments for behavior analysis and decision evaluation of complex systems. Journal of System Simulation, 2004, 16(5): 893-897
[8]  Wang F Y. Parallel control and management for intelligent transportation systems: concepts, architectures, and applications. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(3): 630-638
[9]  Tang Shu-Ming, Wang Fei-Yue, Liu Xiao-Ming, Jia Xing-Wu, Liu Xue-Jun, Li Jian-Xin. A preliminary investigation on artificial transportation systems. Journal of System Simulation, 2005, 17(3): 704-709 (汤淑明, 王飞跃, 刘小明, 贾兴无, 刘学军, 李建新. 人工交通系统的研究初探. 系统仿真学报, 2005, 17(3): 704-709)
[10]  Tong Gang. Application study of genetic algorithm on bus scheduling. Computer Engineering, 2005, 31(13): 29-31 (童刚. 遗传算法在公交调度中的应用研究. 计算机工程, 2005, 31(13): 29-31)
[11]  Zhang Fei-Zhou, Yan Lei, Fan Yue-Zu, Sun Xian-Fang. Research on dispatching methods of public traffic vehicles in intelligent transport system. China Journal of Highway and Transport, 2003, 16(2): 82-85 (张飞舟, 晏磊, 范跃祖, 孙先仿. 智能交通系统中的公交车辆调度方法研究. 中国公路学报, 2003, 16(2): 82-85)
[12]  Chen S M, Lee L W. Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets. Expert Systems with Applications, 2010, 37(1): 824-833
[13]  Liu N, Zhang J H, Wu X. Asset analysis of risk assessment for IEC 61850-based power control systems, Part II: Application in substation. IEEE Transactions on Power Delivery, 2011, 26(2): 876-881
[14]  Pishvaee M S, Torabi S A, Razmi J. Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty. Computers & Industrial Engineering, 2012, 62(2): 624-632
[15]  Chen S M, Yang M W, Lee L W. A new method for fuzzy multiple attributes group decision making based on ranking interval type-2 fuzzy sets. In: Proceedings of the 2011 International Conference on Machine Learning and Cybernetics. Guilin, China: IEEE, 2011. 142-147

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