Faculty DirectoryYing Chen
Assistant Professor of Instruction
Contact
2145 Sheridan RoadTech
Evanston, IL 60208-3109
Email Ying Chen
Website
Departments
Civil and Environmental Engineering
Education
Ph.D. Civil Engineering, Northwestern University, Evanston, IL
M.S. Computer Science, Northwestern University, Evanston, IL
Research Interests
My research interests focus on Artificial intelligence and data science in transportation and smart cities-related topics. I enjoy finding simple, yet deep and elegant solutions to real-world problems that impact our daily life as well as helping urban planners, traffic managers, and marketing representatives to make smart decisions.
My research broadly spans and draws from the fields of machine learning, data mining, social network study, agent-based modeling, intelligent transportation systems, and healthcare. The topics include but are limited to Smart Cities and Data Science, Social Influence and Travel Behavior, Large-scale Transportation Network Modeling and Analysis, Modeling and Solution Approaches for Logistics and Complex Systems, Agent-based Modeling and Visualization, Connected Vehicles and Autonomous Vehicles, AI Bias in Transportation
Selected Publications
Abkarian, H., Chen, Y. and Mahmassani, H. (2021). Understanding Ridesplitting Behavior with Interpretable Machine Learning Models using Chicago Transportation Network Company Data. Transportation Research Record.
Mete, F., Corr, D.J., Wilbur, M.P. and Chen, Y. (2021). Bridge Response and Heavy Truck Classification Framework Based on a Two-step Machine Learning Algorithm. Transportation Research Record.
Hong, Z., Chen, Y. and Wu, Y. (2020). Following a Safer Driver? A Driver Behavior Scoring System for Connected Vehicles to Keep Safe. Accident Analysis and Prevention.
Soria, J., Chen, Y. and Stathopoulos, A. (2020). Ridesourcing Behavior Profiles: Application of K-Prototype Analysis on Large-scale data from Chicago, Illinois. Transportation Research Record.
AI Hajj Hassan, L. Mahmassani, H. and Chen, Y. (2020). Reinforcement Learning Framework for Freight Demand Forecasting to Support Operational Planning Decisions. Transportation Research Part E.
Ale-Ahmad, H., Chen, Y. and Mahmassani, H. S. (2020). Travel Time Variability and Congestion Assessment Through the Experience of Mobility Companies: Network Relations and Origin-Destination Clusters. Transportation Research Record.
Borowski, E., Chen, Y., Mahmassani, H.S. (2020). Social media effects on sustainable mobility opinion diffusion: Model framework and implications for behavior change. Travel Behaviour and Society.
Zhang, K., Chen, Y. and Nie, Y. (2019). Hunting image: Taxi search strategy recognition using Sparse Subspace Clustering. Transportation Research Part C.
To, D., Chen, Y., and Si, D. (2019). Traveler’s Next Activity Predication with Location Social Network Data. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility (PredictGIS 2019).
Chen, Y., Kim, J. and Mahmassani, H.S. (2018). Operational Scenario Definition in Traffic Simulation-based Decision Support Systems: Pattern Recognition using a Clustering Algorithm. ASCE’s Journal of Transportation Engineering, Part A: Systems.
Xu, X., Mahmassani, H. S. and Chen, Y. (2019). Privately Owned Autonomous Vehicle Optimization Model Development and Integration with Activity-Based Modeling and Dynamic Traffic Assignment Framework. Transportation Research Record: Journal of the Transportation Research Board, 2673(10), 683–695.
Mete, F., Chen, Y., Stathopoulos, A., and Corr, D. (2019). A Comparative Study of Predictive Analysis Methods to Estimate Bridge Response. Transportation Research Record, 2673(9), 365–376.
Biehl, A., Chen, Y., Sanabria, K., Uttal, D., and Stathopoloulos, A. (2018). A Tale of Two Communities: Where does Active Mobility Fit within Narratives Distinguished by Space and Place? Transportation Research Part A: Policy and Practice.
Chen, Y., Hyland, M., Wilbur, M., and Mahmassani, H.S. (2018). Characterization of Taxi Fleet Operational Networks and Vehicle Efficiency: Chicago Case Study. Transportation Research Record: Journal of the Transportation Research Board.
Hyland, M., Hong, Z., Pinto, H., and Chen, Y. (2018). Hybrid Cluster-Regression Approach to Model Bikeshare Station Usage. Transportation Research Part A: Policy and Practice, 115, 71-89.
Hong, Z., Chen, Y., and Mahmassani, H. S. (2018). Recognizing Network Trip Patterns Using a Spatio-Temporal Vehicle Trajectory Clustering Algorithm. IEEE Transactions on Intelligent Transportation Systems, 19(8), 2548-2557.
Chen, Y., Mahmassani, H.S. and Frei, A. (2018). Incorporating social media in travel and activity choice models: conceptual framework and exploratory analysis. International Journal of Urban Sciences, 22(2), 180-200.
Hong, Z., Chen, Y., Mahmassani, H.S. and Xu, S. (2017). Commuter Ride-Sharing using Topology-Based Vehicle Trajectory Clustering: Methodology, Application and Impact Evaluation. Transportation Research Part C: Emerging Technologies, 85, 573-590.
Chen, Y. and Mahmassani, H.S. (2016). Exploring Activity and Destination Choice Behavior in Two Metropolitan Areas Using Social Networking Data. Transportation Research Record: Journal of the Transportation Research Board.
Chen, Y., Mahmassani, H.S, Hong, Z., Hou, T., Kim, J., Halat, H. and Alfelor, R. (2015). On-line Implementation and Evaluation of Weather Responsive Coordinated Signal Timing Operations. Transportation Research Record: Journal of the Transportation Research Board.
Chen, Y., Mahmassani, H.S. and Hong, Z. (2015). Improving Online Network Traffic Prediction through Data Mining and Pattern Matching for Dynamic Origin-Destination Demand Estimation. Transportation Research Record: Journal of the Transportation Research Board.
Chen, Y., Frei, A. and Mahmassani, H.S. (2014). From Personal Attitudes to Public Opinion: Information Diffusion in Social Networks towards Sustainable Transportation. Transportation Research Record: Journal of the Transportation Research Board.