参考文献 ]计晓昕公交到站时间预测模型与实证研究D]北京:北京交通大学,2015. [2]向红艳,彭学文公交到站时间预测研究现状与发展趋势[J.交通信息与安全.2014, 32(04):57-61 3] Gong J, Liu M, Zhang S. Hybrid dynamic prediction model of bus arrival time based on weighted of historical and real-time GPS data[A]. In: 2013IEEE 25th Control and Decision Conference(CCDC)[C]. 2013: 972-976 [4] Marko Celan, Marjan Lep. Bus-arrival time prediction using bus network data model and time periods J]. Future Generation Computer Systems, 2018: 164-17 5]汪磊,左忠义.基于MLR的公交车行程时间预测模型大连交通大学学报,2015,36(2) 6 Yuyang Zhou, Lin Yao, et al. Bus arrival time calculation model based on smart card data J] Transportation Research Part C, 2017: 81-96 [7] Yunho Chang, Dongjoo Park, Seungjae Lee, et al. Dynamic multi-interval bus travel time prediction using bus transit data[J]. Transportmetrica, 2010, 6(1): 19-38 8 Liu T, Ma J, Guan W, et al. Bus arrival time prediction based on the K-Nearest neighbor method(Cy/ Computational Sciences and Optimization( CSO), 2012 Fifth International Joint Conference on IEEE 2012: 480-483 9]季彦婕,陆佳炜,陈晓实,等.基于粒子群小波神经网络的公交到站时间预测[交通运 输系统工程与信息.2016,16(3)60-66 10彭新建,翁小雄.基于萤火虫算法优化BP神经网络的公交行程时间预测广西师范大 学学报(自然科学版)2017,35(1)28-36 [11 Niklas Christoffer Petersen, Filipe Rodrigues, et al. Multi-output bus travel time prediction with convolutional LSTM neural network[J]. Expert Systems With Applications, 2019: 426-435 [12]He Z, YuH, Du Y, et al. SVM based multi-index evaluations for bus arrival time Prediction [A]. In: 2013 IEEE International Conference on ICT Convergence(ICTC)[C].2013: 86-90 [13]陈光,蔡延光,黄柱.基于K- means聚类和SVM的公交到站时间预测算法门,工业控制 计算机,2017,30(05):96-98 [14]Tingting Yin, Gang Zhong, et al. a prediction model of bus arrival time at stops with multi -routes J).Transportation Research Procedia, 2017: 4623-4636 [15] Wang B, Wang w, Yang M, et al. An approach to bus travel time prediction based on the adaptive fading Kalman Filter Algorithm pJ]. Bridges. 2014, 10: 978-982 [16 Bachu A, Subramanian S Pattern-Based bus travel time prediction under heterogeneous traffic conditions[C].93rd Annual Meeting-Transportation Research Boards, 2014: 167-172 17赵衍青公交车辆到站时间预测方法研究[D北京:北京交通大学,2017 [18胡华,高云峰,刘志钢.基于AVL数据的公交到站时间实时预测模型[J重庆交通大学学 报(自然科学版),2012,31(05):10141018 19杨敏,丁剑,王炜.基于 ARIMA-SVM模型的快速公交停站时间组合预测方法[东南 大学学报(自然科学版),2016,46(3):651-656 20]范光鹏,孙仁诚,邵峰晶.基于LSTM和 Kalman滤波的公交到站时间预测[.计算机应 用与软件,2018,35(04):91-96 21]彭俊伟.基于静态和动态算法结合的公交到站时间预测D].杭州:杭州电子科技大学, 2016参考文献 [1]计晓昕.公交到站时间预测模型与实证研究 [D].北京：北京交通大学，2015． [2]向红艳，彭学文.公交到站时间预测研究现状与发展趋势［J］.交通信息与安全．2014， 32( 04) : 57-61． [3] Gong J, Liu M, Zhang S. Hybrid dynamic prediction model of bus arrival time based on weighted of historical and real-time GPS data[A]. In: 2013IEEE 25th Control and Decision Conference (CCDC)[C]. 2013:972-976. [4] Marko Celan, Marjan Lep. Bus-arrival time prediction using bus network data model and time periods[J]. Future Generation Computer Systems, 2018:164-171. [5]汪磊，左忠义. 基于MLR的公交车行程时间预测模型[J]. 大连交通大学学报，2015,36（2）： 1-5. [6]Yuyang Zhou, Lin Yao, et al. Bus arrival time calculation model based on smart card data[J]. Transportation Research Part C, 2017:81-96. [7] Hyunho Chang, Dongjoo Park, Seungjae Lee, et al. Dynamic multi-interval bus travel time prediction using bus transit data[J]. Transportmetrica,2010,6(1):19-38. [8] Liu T,Ma J, Guan W, et al. Bus arrival time prediction based on the K-Nearest neighbor method[C]// Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on. IEEE,2012:480-483. [9]季彦婕，陆佳炜，陈晓实，等．基于粒子群小波神经网络的公交到站时间预测[J]. 交通运 输系统工程与信息. 2016，16（3）:60-66. [10]彭新建，翁小雄. 基于萤火虫算法优化BP神经网络的公交行程时间预测[J]. 广西师范大 学学报(自然科学版). 2017, 35(1) :28-36. [11]Niklas Christoffer Petersen, Filipe Rodrigues, et al. Multi-output bus travel time prediction with convolutional LSTM neural network[J]. Expert Systems With Applications, 2019:426-435. [12] He Z, Yu H, Du Y, et al. SVM based multi-index evaluations for bus arrival time Prediction [A].In: 2013 IEEE International Conference on ICT Convergence (ICTC) [C].2013:86-90. [13]陈光，蔡延光，黄柱. 基于K-means 聚类和SVM的公交到站时间预测算法[J]. 工业控制 计算机，2017，30（05）：96-98. [14]Tingting Yin, Gang Zhong, et al. A prediction model of bus arrival time at stops with multi -routes[J].Transportation Research Procedia, 2017:4623-4636. [15] Wang B, Wang W, Yang M，et al. An approach to bus travel time prediction based on the adaptive fading Kalman Filter Algorithm[J]. Bridges. 2014,10:978-982. [16] ]Bachu A, Subramanian S. Pattern-Based bus travel time prediction under heterogeneous traffic conditions[C]. 93rd Annual Meeting-Transportation Research Boards,2014:167-172. [17] 赵衍青.公交车辆到站时间预测方法研究[D]. 北京：北京交通大学，2017． [18]胡华，高云峰，刘志钢. 基于AVL数据的公交到站时间实时预测模型[J].重庆交通大学学 报（自然科学版），2012，31（05）：1014-1018. [19]杨敏，丁剑，王炜. 基于ARIMA-SVM模型的快速公交停站时间组合预测方法[J]. 东南 大学学报（自然科学版），2016，46（3）：651-656. [20]范光鹏，孙仁诚，邵峰晶. 基于LSTM和Kalman滤波的公交到站时间预测[J]. 计算机应 用与软件，2018，35（04）：91-96. [21] 彭俊伟. 基于静态和动态算法结合的公交到站时间预测[D]. 杭州：杭州电子科技大学， 2016