[1] 《中国公路学报》编辑部.中国公路交通学术研究综述.2012.中国公路学报, 2012, 25(3): 2-50.
(Editorial Department of China Journal of Highway and Transport. An Academic Research Summary on China Highway and Transport: 2012. China Journal of Highway and Transport, 2012, 25(3): 2-50.)
[2] 滕 靖,王何斐,杨新征,等.基于乘客主观感知的公交客流拥塞量化表征模型.中国公路学报, 2018, 31(6): 299-307.
(TENG J, WANG H F, YANG X Z, et al. Subjective Perception Based Passenger Congestion Quantification for Bus Operation. China Journal of Highway and Transport, 2018, 31(6): 299-307.)
[3] 高 坤,涂辉招,李 浩,等.出行者对不同交通方式行程时间可靠度和车内拥挤度的感知差异性.中国公路学报, 2017, 30(7): 126-133.
(GAO K, TU H Z, LI H, et al. Travelers′ Perception Differences in Travel Time Reliability and Crowding of Mode-Choice in Multimodal Networks. China Journal of Highway and Transport, 2017, 30(7): 126-133.)
[4] LUKE H, MARTIN K. The Distribution of Crowding Costs in Public Transport: New Evidence from Paris. Transportation Research Part A(Policy and Practice), 2015, 77: 182-201.
[5] 张春辉,宋 瑞,孙 杨.基于卡尔曼滤波的公交站点短时客流预测.交通运输系统工程与信息, 2011, 11(4): 154-159.
(ZHANG C H, SONG R, SUN Y. Kalman Filter-Based Short Term Passenger Flow Forecasting on Bus Stop. Journal of Transportation Systems Engineering and Information Technology, 2011, 11(4): 154-159.)
[6] 刘 凯,李文权,赵锦焕.短时公交客流小波预测方法研究.交通运输工程与信息学报, 2010, 8(2): 111-117.
(LIU K, LI W Q, ZHAO J H. Study on Wavelet Forecast Method for Short-Term Passenger Flow. Journal of Transportation Engineering and Information, 2010, 8(2): 111-117.)
[7] CHEN Q, LI W Q, ZHAO J H. The Use of LS-SVM for Short-Term Passenger Flow Prediction. Transport, 2011, 26(1): 5-10.
[8] 郭士永,李文权,白 薇,等.基于最小二乘向量机的公交站点短时客流预测.武汉理工大学学报(交通科学与工程版), 2013, 37(3): 603-607.
(GUO S Y, LI W Q, BAI W, et al. Prediction of Short-Term Passenger Flow on a Bus Stop Based on LSSVM. Journal of Wuhan University of Technology(Transportation Science & Engineering), 2013, 37(3): 603-607.)
[9] LIU L J, CHEN R C. A Novel Passenger Flow Prediction Model Using Deep Learning Methods. Transportation Research Part C(Emerging Technologies), 2017, 84: 74-91.
[10] 杨信丰,刘兰芬.基于AP聚类的支持向量机公交站点短时客流预测.武汉理工大学学报(交通科学与工程版), 2016, 40(1): 36-40.
(YANG X F, LIU L F. Short-Term Passenger Flow Forecasting on Bus Station Based on Affinity Propagation and Support Vector Machine. Journal of Wuhan University of Technology(Transportation Science ＆ Engineering), 2016, 40(1): 36-40.)
[11] PINCAK R. The String Prediction Models as Invariants of Time Series in the Forex Market. Physica A(Statistical Mechanics And ITS Applications), 2013, 392(24): 6414-6426.
[12] ZWIEBACH B. A First Course in String Theory. Cambridge, USA: Cambridge University Press, 2009.
[13] HORV TH D, PINCAK R. From the Currency Rate Quotations onto Strings and Brane World Scenarios. Physica A(Statistical Mechanics and ITS Applications), 2012, 391(21): 5172-5188.
[14] PINC‘K R, BARTOS‘E. With String Model to Time Series Forecasting. Physica A(Statistical Mechanics and ITS Applications), 2015, 436: 135-146.
[15] DEB K, PRATAP A, AGARWAL S, et al. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation,2002, 6(2): 182-197.
[16] GABRIEL L Q, ENRIQUE A. Parallel Genetic Algorithms: Theory and Real World Applications. Berlin, Germany: Springer, 2011.
[17] 贺 锋,秦晓丽,方勇纯. 一种基于遗传算法的移动机器人自定位方法.模式识别与人工智能, 2009, 22(1): 142 -147.
(HE F, QIN X L, FANG Y C. A Genetic Algorithm Based Auto-nomous Localization Strategy for Mobile Robots. Pattern Recognition and Artificial Intelligence, 2009, 22(1): 142-147.)
[18] 陈希孺.概率论与数理统计.合肥:中国科学技术大学出版社, 2009.
(CHEN X R. Probability Theory and Mathematics Statistics. Hefei, China: Press of University of Science and Technology of China, 2009.)
[19] 李 航.统计学习方法.北京:清华大学出版社, 2012.
(LI H. Statistical Learning Method. Beijing, China: Tsinghua University Press, 2012.)
[20] 吴景龙,杨淑霞,刘承水.基于遗传算法优化参数的支持向量机短期负荷预测方法.中南大学学报(自然科学版), 2009, 40(1): 180-184.
(WU J L, YANG S X, LIU C S. Parameter Selection for Support Vector Machines Based on Genetic Algorithms to Short-Term Power Load Forecasting. Journal of Central South University(Science and Technology), 2009, 40(1): 180-184.)
[21] SUN Y X, LENG B. GUAN W. A Novel Wavelet-SVM Short-Time Passenger Flow Prediction in Beijing Subway System. Neurocomputing, 2015, 166: 109-121.
[22] XIAO Z, YE S J, ZHONG B, et al. BP Neural Network with Rough Set for Short Term Load Forecasting. Expert Systems with Applications, 2009, 36(1): 273-279.