[1]John N Ivan. Neuralnet work representations for arterial street incident detection data fusion [J]. Transportation Research Part C, 1997(5): 245-254.
[2]Jiuh Biing Sheu, Stephen G. A new methodology for incident detection and characterization on surface streets [J]. TRB, National Research Council, Washington, 1998(6): 315-335.
[3]Yaser E Hawas. A fuzzybased system for incident detection in urban street networks[J]. Transportation Research Part C, 2007(15): 69-95.
[4]Dipti Srinivasan, Ruey Long Cheu, Young Peng Poh, et al. Development of an intelligent technique for traffic network incident detection[J]. Engineering Applications of Artificial Intelligence, 2000(13): 311-322.
[5]G F Newell. A simplified theory of kinematic waves in highway traffic[J]. Transportation Research B, 1993, 27B (4): 281-287.
[6]Lawson T, Lovell D, Daganzo C. Using the input output diagram to determine the spatial and temporal extents of a queue upstream of a bottleneck[J]. Transportation Research Record TRB, National Research Council, 1997: 125-131.
[7]Liping Fu. An adaptive model for real time estimation of overflow queues on congested arterials[C]//Intelligent Transportation Systems Conference Proceedings, 2001: 219-226.
[8]姜桂艳, 温慧敏, 杨兆升. 高速公路交通事件自动检测系统与算法设计[J] . 交通运输工程学报, 2001, 1(1) : 77-81. [JIANG G Y, WEN H M, YANG Z S. Design of freeway automatic incident detection system and algorithm[J]. Journal of Traffic and Transportation Engineering,2001,1(1) :77-81.]
[9]樊小红, 荆便顺. 基于遗传算法的交通事件检测[J] . 长安大学学报: 自然科学版, 2005, 25(4) : 70-72. [FAN X H, JIN B S. Freeway automatic incident detection with genetic algorithm [J]. Journal of Chang’an University( Natural Science Edit ion), 2005, 25(4) : 70-72.]
[10]张文会, 邓红星, 王宪彬,等. 交通事故现场安全性综合评价[J] . 交通运输系统工程与信息, 2010,10(3):105-109. [ZHANG W H, DENG H X, WANG X B,et al. Comprehensive safety evaluation for traffic accident scene [J]. Journal of Transportation Systems Engineering and Information Technology, 2010,10(3):105-109.]
[11]杨净, 张江山. 基于熵权的属性识别模型在城市轨道线网方案评价中的应用[J]. 环境科学与管理, 2009,34(8):164-168. [YANG J, ZHANG J S. Appiication of attribute recognition model based on coefficient of entropy to comp rehensive valuation of urban rail transit network[J]. Environmental Science and Management, 2009,34(8):164-168.]
[12]薛剑光,周健,史秀志,等. 基于熵权属性识别模型的岩体可爆性分级评价[J]. 中南大学学报(自然科学版),2010,41(1):251-255. [XUE J G, ZHOU J, SHI X Z, et al. Assessment of classification for rock mass blastability based on entropy coefficient of attribute recognition model[J]. Journal of Central South University (Science and Technology), 2010,41(1):251-255.]
[13]赵新好,姚安林. 基于熵权属性识别理论的管道第三方破坏可能性研究[J]. 中国安全科学学报, 2011, 21(4):71-77. [ZHAO X H, YAO A L. Study on possibility of pipeline thirdparty damage based on entropy coefficient of attribute recognition theory[J]. China Safety Science Journal, 2011, 21(4):71-77.] |