1 |
刘明宇, 吴建平, 王钰博, 等. 基于深度学习的交通流量预测[J]. 系统仿真学报, 2018, 30(11): 4100-4105, 4114.
|
|
Liu Mingyu, Wu Jianping, Wang Yubo, et al. Traffic Flow Prediction Based on Deep Learning[J]. Journal of System Simulation, 2018, 30(11): 4100-4105, 4114.
|
2 |
Hassan T, El-Mowafy A, Wang Kan. A Review of System Integration and Current Integrity Monitoring Methods for Positioning in Intelligent Transport Systems[J]. IET Intelligent Transport Systems, 2021, 15(1): 43-60.
|
3 |
李伟, 周玉臣, 林圣琳, 等. 仿真模型验证方法综述[J]. 系统仿真学报, 2019, 31(7): 1249-1256.
|
|
Li Wei, Zhou Yuchen, Lin Shenglin, et al. Review of Simulation Model Validation Methods[J]. Journal of System Simulation, 2019, 31(7): 1249-1256.
|
4 |
Shehu A, Van der Spoel David. Editorial Overview: Theory and Simulation and Their New Friends[J]. Current Opinion in Structural Biology, 2021, 67: iii-v.
|
5 |
Williams B M, Hoel L A. Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results[J]. Journal of Transportation Engineering, 2003, 129(6): 664-672.
|
6 |
Yao Baozhen, Chen Chao, Cao Qingda, et al. Short-term Traffic Speed Prediction for an Urban Corridor[J]. Computer-aided Civil and Infrastructure Engineering, 2017, 32(2): 154-169.
|
7 |
程山英. 交通拥堵汽车流量准确预测仿真研究[J]. 计算机仿真, 2017, 34(10): 123-126.
|
|
Cheng Shanying. Simulation Research on Traffic Flow Forecasting of Traffic Jam[J]. Computer Simulation, 2017, 34(10): 123-126.
|
8 |
李少伟, 陈永生. 城市轨道交通客流预测算法设计与仿真[J]. 计算机科学, 2014, 41(2): 276-279.
|
|
Li Shaowei, Chen Yongsheng. Design and Simulation of Passenger Flow Forecast Algorithm for Urban Rail Transit[J]. Computer Science, 2014, 41(2): 276-279.
|
9 |
Qu Licheng, Jiao Lü, Li Wei, et al. Features Injected Recurrent Neural Networks for Short-term Traffic Speed Prediction[J]. Neurocomputing, 2021, 451: 290-304.
|
10 |
Yang Bailin, Sun Shulin, Li Jianyuan, et al. Traffic Flow Prediction Using LSTM With Feature Enhancement[J]. Neurocomputing, 2019, 332: 320-327.
|
11 |
夏容, 江官星. 基于LSTM的软件时间序列延迟预测仿真[J]. 计算机仿真, 2021, 38(12): 435-439.
|
|
Xia Rong, Jiang Guanxing. Software Time Series Delay Prediction Simulation Based on LSTM[J]. Computer Simulation, 2021, 38(12): 435-439.
|
12 |
王祥雪, 许伦辉. 基于深度学习的短时交通流预测研究[J]. 交通运输系统工程与信息, 2018, 18(1): 81-88.
|
|
Wang Xiangxue, Xu Lunhui. Short-term Traffic Flow Prediction Based on Deep Learning[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(1): 81-88.
|
13 |
戢晓峰, 戈艺澄. 基于深度学习的节假日高速公路交通流预测方法[J]. 系统仿真学报, 2020, 32(6): 1164-1171.
|
|
Ji Xiaofeng, Ge Yicheng. Holiday Highway Traffic Flow Prediction Method Based on Deep Learning[J]. Journal of System Simulation, 2020, 32(6): 1164-1171.
|
14 |
温惠英, 张东冉. 基于Bi-LSTM模型的高速公路交通量预测[J]. 公路工程, 2019, 44(6): 51-56.
|
|
Wen Huiying, Zhang Dongran. Highway Traffic Volume Prediction Based on Bi-LSTM Model[J]. Highway Engineering, 2019, 44(6): 51-56.
|
15 |
王秋雯, 陈彦如, 刘媛春. 基于卷积长短时记忆神经网络的城市轨道交通短时客流预测[J]. 控制与决策, 2021, 36(11): 2760-2770.
|
|
Wang Qiuwen, Chen Yanru, Liu Yuanchun. Metro Short-term Traffic Flow Prediction With ConvLSTM[J]. Control and Decision, 2021, 36(11): 2760-2770.
|
16 |
Li Tao, Ni Anning, Zhang Chunqin, et al. Short-term Traffic Congestion Prediction With Conv-BiLSTM Considering Spatio-temporal Features[J]. IET Intelligent Transport Systems, 2020, 14(14): 1978-1986.
|
17 |
Lu Zhilong, Weifeng Lü, Cao Yabin, et al. LSTM Variants Meet Graph Neural Networks for Road Speed Prediction[J]. Neurocomputing, 2020, 400: 34-45.
|
18 |
Zhao Ling, Song Yujiao, Zhang Chao, et al. T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 21(9): 3848-3858.
|
19 |
丁恒, 郑小燕, 刘燕, 等. 基于小波分析的随机交通流组合预测方法研究[J]. 系统仿真学报, 2012, 24(2): 377-381.
|
|
Ding Heng, Zheng Xiaoyan, Liu Yan, et al. Stochastic Traffic Series Time Combination Forecasting Based on Wavelet Analysis[J]. Journal of System Simulation, 2012, 24(2): 377-381.
|
20 |
Huang Haichao, Chen Jingya, Huo Xinting, et al. Effect of Multi-scale Decomposition on Performance of Neural Networks in Short-term Traffic Flow Prediction[J]. IEEE Access, 2021, 9: 50994-51004.
|
21 |
Dragomiretskiy K, Zosso D. Variational Mode Decomposition[J]. IEEE Transactions on Signal Processing, 2014, 62(3): 531-544.
|