Tiffany Lim

2024
Yunhan Zheng. Carrots and Sticks in Green Moves: Assessing the Mobility, Environmental, Economic, and Social Impacts of Sustainable Mobility Solutions. Vol PhD.; 2024.
Abdelhalim A, Jinhua Zhao. Computer Vision for Transit Travel Time Prediction: An End-to-End Framework Using Roadside Urban Imagery. Public Transport. 2024.
Qingyi Wang, Shenhao Wang, Yunhan Zheng, Lin H, Xiaohu Zhang, Jinhua Zhao, et al. Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for travel behavior analysis? Transportation Research Part B. 2024;179.
Qingyi Wang. Innovations in Urban Computing: Uncertainty Quantification, Data Fusion, and Generative Urban Design. Vol PhD.; 2024.
Leong M, Abdelhalim A, Ha J, Patterson D, Pincus G, Harris A, et al. MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model. Transportation Research Record. 2024.
Baichuan Mo, Peyman Noursalehi, Haris N. Koutsopoulos, Jinhua Zhao. Modeling virus transmission risks in commuting with emerging mobility services: A case study of COVID-19. Travel Behaviour and Society. 2024;34.
Xiaotong Guo, Baichuan Mo, Haris N. Koutsopoulos, Shenhao Wang, Jinhua Zhao. Robust Transit Frequency Setting Problem With Demand Uncertainty. IEEE Transactions on Intelligent Transportation Systems. 2024.
Xiaotong Guo. Towards A Robust Integrated Urban Mobility System: Public Transit and Rider-Sharing System. Vol PhD.; 2024.
Qingyi Wang, Shenhao Wang, Zhuang D, Haris Koutsopoulos, Jinhua Zhao. Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks. IEEE Transactions on Intelligent Transportation Systems. 2024.
2023
Shuman D, Abdelhalim A, Stewart AF, Campbell K, Patel M, de Madariaga IS, et al. Can Mobility of Care be Identified from Transit Fare Card Data? A Case Study in Washington D.C. Findings. 2023.
Martello M. Climate Change Adaptation Planning and Decision Making for Transit Infrastructure. Vol PhD.; 2023.
Rodriguez J, Haris N. Koutsopoulos, Shenhao Wang, Jinhua Zhao. Cooperative Bus Holding and Stop-skipping: A Deep Reinforcement Learning Framework. Transportation Research Part C: Emerging Technologies. 2023;155.
Xiaotong Guo, Qu A, Hongmou Zhang, Peyman Noursalehi, Jinhua Zhao. Dissolving the Segmentation of a Shared Mobility Market: A Framework and Four Market Structure Designs. Transportation Research Part C: Emerging Technologies. 2023;157.
Engelberg D. Embracing the Uncertain Future: Three Essay on Uncertainty in Analysis, Planning, and Policy Making. Vol PhD.; 2023.
Xiaotong Guo. Enhancing the Shared Mobility Market: Dissolving Market Segmentation and Understanding Market Friction. Vol MST.; 2023.
Yunhan Zheng, Caros NS, Aloisi J, Jinhua Zhao. Examining the interactions between working from home, travel behavior and change in car ownership due to the impact of COVID-19. Travel Behaviour and Society. 2023;33.
Yunhan Zheng, Qingyi Wang, Zhuang D, Shenhao Wang, Jinhua Zhao. Fairness-enhancing deep learning for ride-hailing demand prediction. IEEE Open Journal of Intelligent Transportation Systems . 2023;4.
Caros N. Preparing urban mobility for the future of work: impacts and adaptation. Vol PhD.; 2023.
Huang Y, Abdelhalim A, Anson Stewart, Jinhua Zhao, Haris Koutsopoulos. Reconstructing Transit Vehicle Trajectory Using High-Resolution GPS Data. 2023 IEEE 26th International Conference on Intelligent Transportation Systems. 2023.
Zhuang D, Bu Y, Wang G, Shenhao Wang, Jinhua Zhao. SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. Temporal Graph Learning Workshop @ NeurIPS 2023. 2023.
Wang Z, Zhuang D, Li Y, Jinhua Zhao, Sun P, Shenhao Wang, et al. ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks. 2023 IEEE 26th International Conference on Intelligent Transportation Systems. 2023.
Saidi S, Haris N. Koutsopoulos, Wilson NH, Jinhua Zhao. Train following model for urban rail transit performance analysis. Transportation Research Part C: Emerging Technologies. 2023;148.
Xiaotong Guo, Haupt A, Wang H, Qadri R, Jinhua Zhao. Understanding multi-homing and switching by platform drivers. Transportation Research Part C: Emerging Technologies. 2023;154.
2022
Zhuang D, Huang Y, Jayawardana V, Jinhua Zhao, Suo D, Wu C. The Braess's Paradox in Dynamic Traffic. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 2022.
Nate Bailey. Dynamic Ridesharing under Travel Time Uncertainty: Passenger Preference and Optimal Assignment Methods. Vol PhD.; 2022.

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