|
[1] HUSSAIN E, BHASKAR A, CHUNG E. Transit OD
matrix estimation using smartcard data: Recent
developments and future research challenges[J].
Transportation Research Part C: Emerging Technologies,
2021, 125: 103044.
[2] BARRY J J, NEWHOUSER R, RAHBEE A, et al. Origin
and destination estimation in New York city with
automated fare system data[J]. Transportation Research
Record, 2002, 1817(1): 183-187.
[3] 马晓磊, 刘从从, 刘剑锋, 等. 基于公交IC卡数据的上车站点推算研究[J]. 交通运输系统工程与信息, 2015,
15(4): 78-84. [MA X L, LIU C C, LIU J F, et al.
Boarding stop inference based on transit IC card data[J].
Journal of Transportation Systems Engineering andInformation Technology, 2015, 15(4): 78-84.]
[4] 陈君, 杨东援. 基于智能调度数据的公交 IC 卡乘客上 车 站 点 判 断 方 法 [J]. 交通运输系统工程与信息,
2013, 13(1): 76-80. [CHEN J, YANG D Y. Identifying
boarding stops of bus passengers with smart cards based
on intelligent dispatching data[J]. Journal of
Transportation Systems Engineering and Information
Technology, 2013, 13(1): 76-80.]
[5] TANG J, YANG Y, HAO W, et al. A data-driven
timetable optimization of urban bus line based on multi
Times New Romanobjective genetic algorithm[J]. IEEE
Transactions on Intelligent Transportation Systems,
2020, 22(4): 2417-2429.
[6] ZHANG W, XIA D, LIU T, et al. Optimization of single-line bus timetables considering time-dependent travel
times: A case study of Beijing, China[J]. Computers &
Industrial Engineering, 2021, 158: 107444.
[7] ALSGER A, ASSEMI B, MESBAH M, et al. Validating
and improving public transport origin-destination
estimation algorithm using smart card fare data[J].
Transportation Research Part C: Emerging Technologies,
2016, 68: 490-506.
[8] 柳伍生, 周向栋, 谭倩. 多元数据下的公交站点客流不确定性分析[J]. 交通运输系统工程与信息, 2018,
18(2): 149-156. [LIU W S, ZHOU X D, TAN Q.
Uncertainty analysis to passenger flow of bus stations
based on multivariate data fusion[J]. Journal of
Transportation Systems Engineering and Information
Technology, 2018, 18(2): 149-156.]
[9] TANG T, FONZONE A, LIU R, et al. Multi-stage deep
learning approaches to predict boarding behaviour of bus
passengers[J]. Sustainable Cities and Society, 2021, 73:
103111.
[10] CHENG Z, TREPANIER M, SUN L. Probabilistic model
for destination inference and travel pattern mining from
smart card data[J]. Transportation, 2021, 48(4): 2035-
2053.
[11] 崔洪军, 赵锐, 朱敏清, 等. 基于熵率的公交乘客出行重复性度量方法[J]. 公路交通科, 2020, 37(9): 97-103,
112. [CUI H J, ZHAO R, ZHU M Q, et al. A method for
measuring repeatability of bus passenger travel based on
entropy rate[J]. Journal of Highway and Transportation
Research and Development, 2020, 37(9): 97-103, 112.]
[12] 张文胜, 卢梦, 朱冀军, 等. 基于公交IC卡和AVL数据的公交客流 OD 推算[J]. 计算机应用与软件, 2021, 38
(7): 100-105. [ZHANG W S, LU M, ZHU J J, et al. OD
calculation of bus passenger flow based on IC card and
AVL data[J]. Computer Applications and Software, 2021,
38(7): 100-105.]
[13] GAO Y, KONTOYIANNIS I, BIENENSTOCK E.
Estimating the entropy of binary time series:
Methodology, some theory and a simulation study[J].
Entropy, 2008, 10(2): 71-99.
[14] CAI H, KULKARNI S R, VERDU S. Universal entropy
estimation via block sorting[J]. IEEE Transactions on
Information Theory, 2004, 50(7): 1551-1561.
|
