Citation: | HE Zhao-cheng, ZHOU Ya-qiang, YU Zhi. Regional traffic state evaluation method based on data visualization[J]. Journal of Traffic and Transportation Engineering, 2016, 16(1): 133-140. doi: 10.19818/j.cnki.1671-1637.2016.01.016 |
[1] |
LIGHTHILL M J, WHITHAM G B. On kinematic waves I. flood movement in long rivers[J]. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences, 1955, 229(1178): 281-316. doi: 10.1098/rspa.1955.0088
|
[2] |
RICHARDS P I. Shock waves on the highway[J]. Operations Research, 1956, 4(1): 42-51. doi: 10.1287/opre.4.1.42
|
[3] |
AW A, RASCLE M. Resurrection of"second order"models of traffic flow[J]. SIAM Journal on Applied Mathematics, 2000, 60(3): 916-938. doi: 10.1137/S0036139997332099
|
[4] |
DAGANZO C F. The cell transmission model: a dynamic representation of highway traffic consistent with the hydrodynamic theory[J]. Transportation Research Part B: Methodological, 1994, 28(4): 269-287. doi: 10.1016/0191-2615(94)90002-7
|
[5] |
DAGANZO C F. The cell transmission model, partⅡ: network traffic[J]. Transportation Research Part B: Methodological, 1995, 29(2): 79-93. doi: 10.1016/0191-2615(94)00022-R
|
[6] |
HU P S, PACK M L. Visualization and visual analytics in transportation[J]. Transportation Research Part C: Emerging Technologies, 2014, 47: 193. doi: 10.1016/j.trc.2014.09.014
|
[7] |
KJRGAARD R S. Data visualization: mapping the topical space[J]. Nature, 2015, 520: 292-293. doi: 10.1038/520292a
|
[8] |
BEECHAM R, WOOD J. Characterising group-cycling journeys using interactive graphics[J]. Transportation Research Part C: Emerging Technologies, 2014, 47: 194-206. https://www.sciencedirect.com/science/article/pii/S0968090X14000734
|
[9] |
KOTHA P. A methodology for deriving performance measures from spatio-temporal traffic contour maps using digital image analysis procedures[D]. Baton Rouge: Louisiana State University, 2003.
|
[10] |
龚峻峰, 苏奎, 何兆成, 等. 广州市路网交通状态评价方法及其在亚运交通管控分析中的应用[J]. 交通运输系统工程与信息, 2012, 12(增1): 106-112. https://www.cnki.net/KCMS/detail/detail.aspx?dbcode=IPFD&filename=ZJTX201109001112&dbname=IPFD9914
GONG Jun-feng, SU Kui, HE Zhao-cheng, et al. Traffic state evaluation method for Guangzhou urban road network and its application in the 16th Asian Games[J]. Journal of Transportation Systems Engineering and Information Technology, 2012, 12(S1): 106-112. (in Chinese). https://www.cnki.net/KCMS/detail/detail.aspx?dbcode=IPFD&filename=ZJTX201109001112&dbname=IPFD9914
|
[11] |
CHEN C, SKABARDONIS A, VARAIYA P. Systematic identification of freeway bottlenecks[J]. Transportation Research Record, 2004(1867): 46-52. https://trid.trb.org/view/741262
|
[12] |
SHE Xi-wei, HE Zhao-cheng, NIE Pei-lin, et al. Online mapmatching framework for floating-car data with low sampling rate in urban road network[C]∥Transportation Research Board. Transportation Research Board 91st Annual Meeting. Washington DC: Transportation Research Board, 2012: 1-23.
|
[13] |
曾伟良, 何兆成, 沙志仁, 等. 结合卡尔曼滤波的城市路段速度估计[J]. 测绘科学, 2013, 38(1): 96-99. https://www.cnki.com.cn/Article/CJFDTOTAL-CHKD201301032.htm
ZENG Wei-liang, HE Zhao-cheng, SHA Zhi-ren, et al. Urban link speed estimation with Kalman filter[J]. Science of Surveying and Mapping, 2013, 38(1): 96-99. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-CHKD201301032.htm
|
[14] |
SABEL C E, GATRELL A C, LYTNEN M, et al. Modelling exposure opportunities: estimating relative risk for motor neurone disease in Finland[J]. Social Science and Medicine, 2000, 50(7/8): 1121-1137. https://www.sciencedirect.com/science/article/pii/S0277953699003603
|
[15] |
KRISTAN M, LEONARDIS A, SKO C"AJ D. Multivariate online kernel density estimation with Gaussian kernels[J]. Pattern Recognition, 2011, 44(10/11): 2630-2642. https://www.sciencedirect.com/science/article/pii/S0031320311001233
|
[16] |
DALAL N, TRIGGS B. Histograms of oriented gradients for human detection[C]∥SCHMID C, SOATTO S, TOMASI C. International Conference on Computer Vision and Pattern Recognition, CVPR 2005. New York: IEEE, 2005: 886-893.
|
[17] |
傅湘, 纪昌明. 区域水资源承载能力综合评价—主成分分析法的应用[J]. 长江流域资源与环境, 1999, 8(2): 168-173. https://www.cnki.com.cn/Article/CJFDTOTAL-CJLY199902011.htm
FU Xiang, JI Chang-ming. A comprehensive evaluation of the regional water resource carrying capacity—application of main component analysis method[J]. Resources and Environment in the Yangtze Basin, 1999, 8(2): 168-173. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-CJLY199902011.htm
|
[18] |
YILDIRIMOGLU M, GEROLIMINIS N. Experienced travel time prediction for congested freeways[J]. Transportation Research Part B: Methodological, 2013, 53(4): 45-63. https://www.sciencedirect.com/science/article/pii/S0191261513000465
|
[19] |
ROUSSEEUW P J. Silhouettes: agraphical aid to the interpretation and validation of cluster analysis[J]. Journal of Computational and Applied Mathematics, 1987, 20(4): 53-65. https://www.researchgate.net/publication/340575202_Silhouettes_A_graphical_aid_to_the_interpretation_and_validation_of_cluster_analysis
|