| Citation: | XING Zhiwei, HE Chuan, LUO Qian, et al. Terminal building short-term passenger flow forecast based on two-tier K-nearest neighbor algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(1): 26-34. doi: 10.13700/j.bh.1001-5965.2018.0259(in Chinese) |
Outbound passenger flow of terminal building shows the quasi-periodic variation in a short period of time and also shows complex nonlinear characteristics because of many factors such as flight schedule and weather. In order to accurately predict the short-term passenger flow of terminal building, the flight schedule state pattern matching procedure is added on the basis of the traditional
| [1] |
GROSCHE T, ROTHLAUF F, HEINZL A.Gravity models for airline passenger volume estimation[J].Journal of Air Transport Management, 2007, 13(4):175-183. doi: 10.1016/j.jairtraman.2007.02.001
|
| [2] |
LETAVKOVA D, MATUSKOVA S, KEBO V, et al.Simulation model for regional airport passenger throughputs[C]//International Carpathian Control Conference.Piscataway, NJ: IEEE Press, 2015: 295-299.
|
| [3] |
黄飞虎, 彭舰, 由明阳.航空旅客群体移动行为特性分析[J].物理学报, 2016, 65(22):2289011.
HUANG F H, PENG J, YOU M Y.Analyses of characetristics of air passenger group mobility behaviors[J].Acta Physica Sinica, 2016, 65(22):2289011(in Chinese).
|
| [4] |
NDOH N N, ASHFORD N.Evaluation of airport access level of service[J].Transportation Research Record, 1993, 1423:34-39.
|
| [5] |
KIM W, PARK Y, KIM B J.Estimating hourly variations in pa-ssenger volume at airports using dwelling time distributions[J].Journal of Air Transport Management, 2004, 10(6):395-400. doi: 10.1016/j.jairtraman.2004.06.009
|
| [6] |
邢志伟, 文涛, 罗谦, 等.基于效用价值驱动的旅客出行动力学研究与建模[J].北京亚洲成人在线一二三四五六区学报, 2018, 44(2):250-256.
XING Z W, WEN T, LUO Q, et al.Utility value driven passenger travel dynamic study and modeling[J].Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(2):250-256(in Chinese).
|
| [7] |
邢志伟, 冯文星, 罗谦, 等.基于航班离港时刻主导的单航班离港旅客聚集模型[J].电子科技大学学报, 2015, 44(5):719-724. doi: 10.3969/j.issn.1001-0548.2015.05.014
XING Z W, FENG W X, LUO Q, et al.Arrived passenger model in single flight based on the time of departure[J].Journal of University of Electronic Science and Technology of China, 2015, 44(5):719-724(in Chinese). doi: 10.3969/j.issn.1001-0548.2015.05.014
|
| [8] |
TIAN Z D, LI S J, WANG Y H, et al.A prediction method based on wavelet transform and multiple models fusion for chaotic time series[J].Chaos, Solitons & Fractals, 2017, 98:158-172.
|
| [9] |
田中大, 李树江, 王艳红, 等.基于ARIMA与ESN的短期风速混合预测模型[J].太阳能学报, 2016, 37(6):1603-1610. doi: 10.3969/j.issn.0254-0096.2016.06.037
TIAN Z D, LI S J, WANG Y H, et al.Short-term wind speed hybrid prediction model based on ARIMA and ESN[J].Acta Energiae Solaris Sinica, 2016, 37(6):1603-1610(in Chinese). doi: 10.3969/j.issn.0254-0096.2016.06.037
|
| [10] |
TIAN Z D, LI S J.A network traffic prediction method based on IFS algorithm optimised LSSVM[J].International Journal of Engineering Systems Modelling and Simulation, 2017, 19(4):200-213.
|
| [11] |
田中大, 李树江, 王艳红, 等.基于混沌理论与改进回声状态网络的网络流量多步预测[J].通信学报, 2016, 37(3):55-70. doi: 10.3969/j.issn.1001-2400.2016.03.010
TIAN Z D, LI S J, WANG Y H, et al.Network traffic multi-step prediction based on chaos theory and improved echo state network[J].Journal on Communications, 2016, 37(3):55-70(in Chinese). doi: 10.3969/j.issn.1001-2400.2016.03.010
|
| [12] |
田中大, 李树江, 王艳红, 等.高斯过程回归补偿ARIMA的网络流量预测[J].北京邮电大学学报, 2017, 40(6):65-73.
TIAN D Z, LI S J, WANG Y H, et al.Network traffic prediction based on ARIMA with Gaussian process regression compensation[J].Journal of Beijing University of Posts and Telecommunications, 2017, 40(6):65-73(in Chinese).
|
| [13] |
DAVIS G, NIHAN N.Nonparametric regression and short-term freeway traffic forecasting[J].Journal of Transportation Engineering, 1991, 117(2):178-188. doi: 10.1061/(ASCE)0733-947X(1991)117:2(178)
|
| [14] |
林川.基于K近邻非参数回归的短时交通流预测算法研究[D].成都: 电子科技大学, 2015: 30-40.
LIN C.Short-term traffic flow prediction algorithm based on K-nearest neighbor[D].Chengdu: University of Electronic Science and Technology of China, 2015: 30-40(in Chinese).
|
| [15] |
张涛, 陈先, 谢美萍, 等.基于K近邻非参数回归的短时交通流预测方法[J].系统工程理论与实践, 2010, 30(2):376-384.
ZHANG T, CHEN X, XIE M P, et al.K-NN based nonparametric regression method for short-term traffic flow forecasting[J].Systems Engineering-Theory and Practice, 2010, 30(2):376-384(in Chinese).
|
| [16] |
于滨, 邬珊华, 王明华, 等.K近邻短时交通流预测模型[J].交通运输工程学报, 2012, 12(2):105-111. doi: 10.3969/j.issn.1671-1637.2012.02.017
YU B, WU S H, WANG M H, et al.K-nearest neighbor model of short-term traffic flow forecast[J].Journal of Traffic and Transportation Engineering, 2012, 12(2):105-111(in Chinese). doi: 10.3969/j.issn.1671-1637.2012.02.017
|
| [17] |
谢海红, 戴许昊, 齐远, 等.短时交通流预测的改进K近邻算法[J].交通运输工程学报, 2014, 14(3):87-94. doi: 10.3969/j.issn.1671-1637.2014.03.017
XIE H H, DAI X H, QI Y, et al.Improved K-nearest neighbor algorithm for short-term traffic forecasting[J].Journal of Traffic and Transportation Engineering, 2014, 14(3):87-94(in Chinese). doi: 10.3969/j.issn.1671-1637.2014.03.017
|
| [18] |
豆飞, 贾利民, 秦勇, 等.铁路客运专线模糊k近邻客流预测模型[J].中南大学学报(自然科学版), 2014, 45(12):4422-4430. http://www.cnki.com.cn/article/cjfdtotal-zngd201412044.htm
DOU F, JIA L M, QIN Y, et al.Fuzzy k-nearest neighbor passenger flow forecasting model of passenger dedicated line[J].Journal of Central South University(Science and Technology), 2014, 45(12):4422-4430(in Chinese). http://www.cnki.com.cn/article/cjfdtotal-zngd201412044.htm
|
| [19] |
张晓利, 贺国光, 陆化普.基于k-邻域非参数回归短时交通流预测方法[J].系统工程学报, 2009, 24(2):178-183.
ZHANG X L, HE G G, LU H P.Short-term traffic flow forecasting based on k-nearest neighbors nonparametric regression[J].Journal of Systems Engineering, 2009, 24(2):178-183(in Chinese).
|
| [20] |
CAI P L, WANG Y P, LU G Q, et al.A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting[J].Transportation Research Part C:Emerging Technologies, 2016, 62:21-34. doi: 10.1016/j.trc.2015.11.002
|
| [21] |
陈通, 孙国强, 卫志农, 等.基于相似日和CAPSO-SNN的光伏发电功率预测[J].电力自动化设备, 2017, 37(3):66-71.
CHEN T, SUN G Q, WEI Z N, et al.Photovoltaic power generation forecasting based on similar day and CAPSO-SNN[J].Electric Power Automation Equipment, 2017, 37(3):66-71(in Chinese).
|
| [22] |
WANG Y S, WU D L, GUO C X, et al.Short-term wind speed prediction using support vector regression[C]//IEEE Power and Energy Society General Meeting.Piscataway, NJ: IEEE Press, 2010: 1-6.
|