[1] 施俊庆, 李志强, 李素兰, 等. 考虑双向交通的城市路网交通流元胞自动机模型[J]. 交通运输系统工程与信息, 2017, 17(2): 90-96. [SHI J Q, LI Z Q, LI S L, et al. A cellular automaton model of urban road network considering bidirectional traffic[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(2): 90-96.]
[2] 李颖宏, 潘佳琪. 基于Optima 的实时在线交通流预测方法研究[J]. 交通运输系统工程与信息, 2017, 17(2): 119- 125. [LI Y H, PAN J Q. Real- time and online traffic flow prediction based on optima method[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(2): 119-125.]
[3] 李林超, 何赏璐, 张健. 时空因素影响下在线短时交通量预测[J]. 交通运输系统工程与信息, 2016, 16(5): 165- 171. [LI L C, HE S L, ZHANG J. Online shortterm traffic flow prediction considering the impact of temporal- spatial features[J]. Journal of Transportation Systems Engineering and Information Technology, 2016, 16(5): 165-171.]
[4] XIA J, CHEN M. Defining traffic flow phases using intelligent transportation systems generated data[J]. Journal of Intelligent Transportation Systems, 2007, 11 (1): 15-24.
[5] XIA J, CHEN M. A nested clustering technique for freeway operating condition classification[J]. ComputerAided Civil and Infrastructure Engineering, 2007, 22(6): 430-437.
[6] SUN L, ZHOU J. Development of multiregime speeddensity relationships by cluster analysis[J]. Transportation Research Record: Journal of the Transportation Research Board, 2005, 1934(1): 64-71.
[7] YANG H, QIAO F. Neural network approach to classification of traffic flow states[J]. Journal of Transportation Engineering, 1998, 124(6): 521-525.
[8] OH C, TOK A, RITCHIE S G. Real-time freeway level of service using inductive- signature- based vehicle reidentification system[J]. Intelligent Transportation Systems, IEEE Transactions on, 2005, 6(2): 138-146.
[9] PARK B B. Hybrid neuro- fuzzy application in shortterm freeway traffic volume forecasting[J]. Transportation Research Record: Journal of the Transportation Research Board, 2002, 1802(1): 190-196.
[10] 孙吉贵, 刘杰, 赵连宇. 聚类算法研究[J]. 软件学报, 2008, 19(1): 48- 61. [SUN J G, LIU J, ZHAO L Y. Clustering algorithms research[J]. Journal of Software, 2008, 19(1): 48-61.]
[11] AZIMI M, ZHANG Y. Categorizing freeway flow conditions by using clustering methods[J]. Transportation Research Record: Journal of the Transportation Research Board, 2010, 2173(1): 105-114.
[12] HASTIE T, TIBSHIRANI R, FRIEDMAN J, et al. The elements of statistical learning: data mining, inference and prediction[J]. The Mathematical Intelligencer, 2005, 27(2): 83-85.
[13] BARALDI A, BLONDA P. A survey of fuzzy clustering algorithms for pattern recognition[J]. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 1999, 29(6): 778-785. |