| 中国铁路车流网的拓扑性质 |
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| 引用本文： | 王莉,秦勇,徐杰,豆飞,贾利民.中国铁路车流网的拓扑性质[J].北京理工大学学报,2012(S1):84-88. |
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| 作者姓名： | 王莉 秦勇 徐杰 豆飞 贾利民 |
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| 作者单位： | 北京交通大学 轨道交通控制与安全国家重点实验室, 北京 100044;北京交通大学 交通运输学院, 北京 100044;北京交通大学 轨道交通控制与安全国家重点实验室, 北京 100044;北京交通大学 轨道交通控制与安全国家重点实验室, 北京 100044;北京交通大学 交通运输学院, 北京 100044;北京交通大学 轨道交通控制与安全国家重点实验室, 北京 100044 |
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| 基金项目： | 国家自然科学基金资助项目(61074151);国家科技支撑计划项目(2009BAG12A10); 轨道交通控制与安全国家重点实验室(北京交通大学)资助项目(RCS2009ZT002,RCS2010ZZ002,RCS2011ZZ004) |
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| 摘 要： | 根据中国2010年的铁路客运列车时间OD分布,利用复杂网络理论研究铁路客运网拓扑性质. 研究表明:铁路车流网的度分布符合指数分布规律,且具有显著的小世界特性;车站经停列车数呈幂律分布,车流网节点强度呈广延指数分布性质,且节点强度与度之间也存在显著的幂律关系. 运输组织策略的调整对车流网的拓扑性质具有实质影响. 通过研究车流网的性质有助于形成使路网的服务特性更具鲁棒性的运输组织策略.
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| 关 键 词： | 复杂网络 车流网 小世界网 无标度分布 |
| 收稿时间： | 2012/9/28 0:00:00 |
Topological Property of China Railway Traffic Network |
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| WANG Li,QIN Yong,Xu Jie,DOU Fei and JIA Li-min.Topological Property of China Railway Traffic Network[J].Journal of Beijing Institute of Technology(Natural Science Edition),2012(S1):84-88. |
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| Authors: | WANG Li QIN Yong Xu Jie DOU Fei and JIA Li-min |
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| Institution: | State Key Laboratory of Rail Traffic Control and Safety (Beijing Jiaotong University), Beijing 100044, China;School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;State Key Laboratory of Rail Traffic Control and Safety (Beijing Jiaotong University), Beijing 100044, China;State Key Laboratory of Rail Traffic Control and Safety (Beijing Jiaotong University), Beijing 100044, China;School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;State Key Laboratory of Rail Traffic Control and Safety (Beijing Jiaotong University), Beijing 100044, China |
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| Abstract: | Topological property of railway passenger network was studied based on complex network theory and the temporal and OD distribution of Chinese passenger trains in 2010. The results show that degree distribution of railway traffic network follows the exponential distribution law and reveals significant small-world characteristics. The number distribution of trains stop at a station follows the power laws, the weighted degree of the stations follows stretched exponential distribution and the relationship between degree and weighted degree of a station is also characterized by power law. The adjustment of transport organization strategy has an essential influence on the topological property of railway traffic network. The research of railway traffic network property promotes the transport organization strategy which makes the network service feature more robust. |
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| Keywords: | complex network railway traffic network small world network scale-free degree distribution |
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