近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
Refereed Journal Publications
Yang H, Ke R, Cui Z*, Wang Y*, Murthy K. (2021) Towards a Real-time Smart Parking Information Management and Prediction (SPIMP) System by Attributes Representation Learning. International Journal of Intelligent Systems
Pu Z, Cui, Z*, Tang, J., Wang, S., Wang, Y. (2021) Multi-Modal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology. IEEE Internet of Things Journal
Cui Z, Lin L, Pu Z, Wang Y*. (2020) Graph Markov Network for Traffic Forecasting with Missing Data. Transportation Research Part C: Emerging Technologies (ASA TSIG Student Paper Award) [doi] [arXiv] [post] [code]
Cui Z, Ke R, Pu Z, Wang Y*. (2020) Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values. Transportation Research Part C: Emerging Technologies [doi]
Cui Z, Ke R, Pu Z, Ma X, Wang Y*. (2020) Learning Traffic as a Graph: A Gated Graph Wavelet Recurrent Neural Network for Network-scale Traffic Prediction. Transportation Research Part C: Emerging Technologies [doi]
Cui Z, Henrickson K, Ke R, Wang Y*. (2019) Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting. IEEE Transaction on Intelligent Transportation Systems [arXiv] [code] [data]
Cui Z, Long Y*. (2019) Perspectives on Stability and Mobility of Transit Passenger’s Travel Behaviour through Smart Card Data. IET Intelligent Transport Systems [doi] [arXiv]
Cui Z, Henrickson K, Biancardo S, Pu Z, Wang Y*. (2019) Establishing a Multi-Source Data Integration Framework for Transportation Data Analytics. Journal of Transportation Engineering, Part A: Systems [doi]
Ma X, Li Y, Cui Z*, Wang Y. (2020) Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models. IEEE Transaction on Intelligent Transportation Systems [doi]
Pu Z, Cui Z, Wang S, Wang Y*. (2020) Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data. IET Intelligent Transport Systems [doi]
Pu Z, Zhu M, Li W, Cui Z, Guo X, Wang Y*. (2020) Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices. IEEE Internet of Things Journal [doi]
Zhu M, Zhu W, Lutin, J, Cui Z, Wang Y. (2020) Developing a Practical Method to Compute State-Level Bus Occupancy Rate. Journal of Transportation Engineering
Zhang J, Chen F*, Cui Z, Guo Y, Zhu Y. (2020) Deep learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit. IEEE transaction on Intelligent Transportation Systems [arXiv]
Ke R, Li W, Cui Z, Wang Y*. (2020) Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact. Transportation Research Record [doi]
Ke R, Feng S, Cui Z, Wang Y*. (2020) An advanced framework for microscopic and lane-level macroscopic traffic parameters estimation from UAV video. IET Intelligent Transport Systems [doi]
Wang Y, Cui Z. (2019) The Development of Smart Transportation in Urgent Need of Transportation Data Science (in Chinese). Urban Transport of China, 17(3), 8-10. [doi]
Liang Y, Cui Z, Tian Y, Chen H, Wang Y*. (2018) A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic State Estimation. Transportation Research Record, 2672(45), 87-105. [doi] [arXiv]
Ke R, Li Z, Kim S, Ash J, Cui Z, Wang Y*. (2017) Real-time bidirectional traffic flow parameter estimation from aerial videos. IEEE Transactions on Intelligent Transportation Systems, 18(4), 890-901. [doi]
Chen X, Li Z, Wang Y, Cui Z, Shi C, Wu H*. (2017). Evaluating the impacts of grades on vehicular speeds on interstate highways. PloS one, 12(9), e0184142. [doi]
Refereed Conference Proceedings
Cui Z, et. al. (2021) Traffic Performance Score for Measuring the Impact of COVID-19 on Urban Mobility. Transportation Research Board 100th Annual Meeting
Ke R, Cui Z, Chen Y, Zhu M, Wang Y. (2021) IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing. Transportation Research Board 100th Annual Meeting
Pu Z, Cui Z, Wang S, Yang H, Wang Y. (2021) Multi-Modal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology. Transportation Research Board 100th Annual Meeting
Yin S, Wang J, Cui Z, Wang Y. (2020) Attention-Enabled Network-level Traffic Speed Prediction. IEEE International Smart Cities Conference (ISC2) (Best Paper Award)
Cui Z, Lin L, Pu Z, Wang Y. (2020) Graph Markov Network for Traffic Forecasting with Missing Data. Transportation Research Board 99th Annual Meeting
Cui Z, Fu M, Zhu M, Ban X, Wang Y. (2020) Transportation Artificial Intelligence Platform for Traffic Forecasting. Transportation Research Board 99th Annual Meeting
Cui Z, Henrickson K, Ke R, Dong X, Wang Y. (2019) High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting. Transportation Research Board 98th Annual Meeting
Cui Z, Henrickson K, Pu Z, Guo G, Wang Y. (2019) A New Multi-Source Traffic Data Integration Framework for Traffic Analysis and Performance Measurement. Transportation Research Board 98th Annual Meeting.
Cui Z, Ke R, Wang Y. (2017) Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction. ACM SIGKDD International Workshop on Urban Computing (UrbComp) [arXiv] [code] [data]
Cui Z, Zhang S, Henrickson K, Wang Y. (2016) New progress of DRIVE Net: An E-science transportation platform for data sharing, visualization, modelling, and analysis. IEEE International Smart Cities Conference (ISC2), (pp. 1-2).
Cui Z, Long Y, Ke R, Wang, Y. (2015) Characterizing evolution of extreme public transit behavior using smart card data. IEEE International Smart Cities Conference (ISC2), (pp. 1-6).
Cui Z, Long Y. (2015) Perspectives on Stability and Mobility of Passenger’s Travel Behaviour through Smart Card Data. ACM SIGKDD International Workshop on Urban Computing (UrbComp). (presented without copyright) [arXiv]
Cui Z, Yang S W, Tsai H M (2015) A vision-based hierarchical framework for autonomous front-vehicle taillights detection and signal recognition. IEEE International Conference on Intelligent Transportation Systems (ITSC), (pp. 931-937). [data] [demo]
Cui Z, Wang C, Tsai H M. (2014) Characterizing channel fading in vehicular visible light communications with video data. IEEE Vehicular Networking Conference (VNC), (pp. 226-229).[doi]
Cui Z, Yang S W, Wang C, Tsai H M. (2014) On addressing driving inattentiveness: Robust rear light status classification using hierarchical matching pursuit. IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), (pp. 2243-2244).
Ke R, Li W, Cui Z, Wang Y. (2020) Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact. Transportation Research Board 99th Annual Meeting
Pu Z, Guo X, Cui Z, Zhu M, Wang Y. (2020) Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data. Transportation Research Board 99th Annual Meeting
Ke R, Feng S, Cui Z, Wang Y. (2019) An Advanced Framework for Traffic Parameters Estimation from UAV Video. Transportation Research Board 98th Annual Meeting (No. 19-02564).
Ke R, Li W, Cui Z, Wang Y. (2018) Multi-Lane Traffic Pattern Learning and Forecasting Using Convolutional Neural Network. COTA International Symposium on Emerging Trends in Transportation (ISETT).
Wang X, MacKenzie D, Cui Z. (2017) Complement or Competitor? Comparing car2go and Transit Travel Times, Prices, and Usage Patterns in Seattle. Transportation Research Board 96th Annual Meeting (No. 17-06234).
Pu Z, Li Z, Zhu W, Cui Z, Wang Y. (2017) Evaluating Safety Effects of Variable Speed Limit System using Empirical Bayesian Before-After Analysis. Transportation Research Board 96th Annual Meeting (No. 17-05863).
Gao Y, Swaminathan K, Cui Z, Su, L. (2015) Predictive Traffic Assignment: A New Method and System for Optimal Balancing of Road Traffic. IEEE 18th International Conference on Intelligent Transportation Systems (ITSC), (pp. 400-407).
Technical Report
Wang Y, Ban X, Cui Z, Zhu M. (2019) An artificial intelligence platform for network-wide congestion detection and prediction using multi-source data. Connected Cities and Smart Mobility (C2SMART) Research Report (USDOT award number: 69A3551747124)[url][report][dataset]
Wang Y, Cui Z, Henrickson, K. (2018) Pilot Testing of SHRP2 Reliability Data and Analytical Products: Washington. SHRP2 Reliability Project L38 Report.
Hallenbeck M, Ishimaru J, Cui Z, Wang Y, Wright D, Zhang W, Henrickson K. (2017) Implementing the Routine Computation and Use of Roadway Performance Measures Within WSDOT. SHRP2 PM Software Research Report. (Grant number: Agreement T1461, Task 16)
Wang Y, Ke R, Zhang W, Cui Z, Henrickson K. (2016) Digital roadway interactive visualization and evaluation network applications to WSDOT operational data usage. Washington State Department of Transportation (WSDOT) Research Report (Report number: WA-RD 854.1).[report]
中英教材
《Machine Learning for Transportation Research and Applications》，Elsevier，2023
《交通数据科学理论与方法》，人民交通出版社，2022
京公网安备 11010802027423号