# Publications

## Refereed Journal Publications

**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, 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* - 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] - 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* - 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]

## Papers in Review

**Cui Z**, Wang X, Wang Y*. Understanding Limits of Predictability in Free-floating Car Sharing Vehicles’ Mobility.*Transportation*(under review)**Cui Z**, Fu M, Zhu M, Ban X, Wang Y*. Transportation Artificial Intelligence Platform for Traffic Forecasting.*Transportation Research Record*(under review)- Lin L,
**Cui Z**, Wang Y. MLG-Net: Multi-Layer Graph Network for Traffic Forecasting.*24th European Conference on Artificial Intelligence (ECAI)*(under review) - Pu Z,
**Cui Z**, Zhu M, Wang Y*. Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data.*Transportation Research Part C: Emerging Technologies*(under review) - Zhu M, Zhu W, Lutin J,
**Cui Z**, Yinhai Wang*. Developing a Statistically Valid and Practical Method to Compute State-Level Bus Occupancy Rates.*Transportation Research Part A: Policy and Practice*(under review)

## Refereed Conference Proceedings

**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]