| HUANG Y P, QIAN L P, FENG A Q, et al. Short-Term Traffic Prediction by Two-Level Data Driven Model in 5G-Enabled Edge Computing Networks [J]. IEEE Access, 2019, 7: 123981-123991. doi: 10.1109/ACCESS.2019.2938236 |
| D'ALCONZO A, DRAGO I, MORICHETTA A, et al. A Survey on Big Data for Network Traffic Monitoring and Analysis [J]. IEEE Transactions on Network and Service Management, 2019, 16(3): 800-813. doi: 10.1109/TNSM.2019.2933358 |
| ZHU L, YU F R, WANG Y G, et al. Big Data Analytics in Intelligent Transportation Systems: a Survey [J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 20(1): 383-398. doi: 10.1109/TITS.2018.2815678 |
| 李凌雁, 赵欣, 翁钢民. 旅游高峰期交通流量的多时间尺度预测方法及应用[J]. 计算机应用研究, 2020, 37(3): 721-725. |
| LIU Q C, CAI Y F, JIANG H B, et al. Traffic State Spatial-Temporal Characteristic Analysis and Short-Term Forecasting Based on Manifold Similarity [J]. IEEE Access, 2018, 6: 9690-9702. doi: 10.1109/ACCESS.2017.2788639 |
| ZHANG R X, NEWMAN S, ORTOLANI M, et al. A Network Tomography Approach for Traffic Monitoring in Smart Cities [J]. IEEE Transactions on Intelligent Transportation Systems, 2018, 19(7): 2268-2278. doi: 10.1109/TITS.2018.2829086 |
| FINOGEEV A, FINOGEEV А, FIONOVA L, et al. Intelligent Monitoring System for Smart Road Environment [J]. Journal of Industrial Information Integration, 2019, 15: 15-20. doi: 10.1016/j.jii.2019.05.003 |
| QUEIROZ W, CAPRETZ M A M, DANTAS M. An Approach for SDN Traffic Monitoring Based on Big Data Techniques [J]. Journal of Network and Computer Applications, 2019, 131: 28-39. doi: 10.1016/j.jnca.2019.01.016 |
| LU H K, HUANG D M, SONG Y Y, et al. ST-TrafficNet: a Spatial-Temporal Deep Learning Network for Traffic Forecasting [J]. Electronics, 2020, 9(9): 1474-1490. doi: 10.3390/electronics9091474 |
| 赵庶旭, 崔方. 一种改进的深度置信网络在交通流预测中的应用[J]. 计算机应用研究, 2019, 36(3): 772-775, 785. |
| GARCIA-AUNON P, ROLDÁN J J, BARRIENTOS A. Monitoring Traffic in Future Cities with Aerial Swarms: Developing and Optimizing a Behavior-Based Surveillance Algorithm [J]. Cognitive Systems Research, 2019, 54: 273-286. doi: 10.1016/j.cogsys.2018.10.031 |
| AQIB M, MEHMOOD R, ALZAHRANI A, et al. Smarter Traffic Prediction Using Big Data, In-Memory Computing, Deep Learning and GPUs [J]. Sensors (Basel, Switzerland), 2019, 19(9): 2206. doi: 10.3390/s19092206 |
| CHENG Z Y, WANG W, LU J, et al. Classifying the Traffic State of Urban Expressways: a Machine-Learning Approach [J]. Transportation Research Part A: Policy and Practice, 2020, 137: 411-428. doi: 10.1016/j.tra.2018.10.035 |
| FAN Z Y, LIU C, CAI D J, et al. Research on Black Spot Identification of Safety in Urban Traffic Accidents Based on Machine Learning Method [J]. Safety Science, 2019, 118: 607-616. doi: 10.1016/j.ssci.2019.05.039 |