Situational-aware multi-graph convolutional recurrent network (SA-MGCRN) for travel demand forecasting during wildfires
Published in Transportation Research Part A: Policy and Practice, 2024
Publications
You can also find my articles on my Google Scholar profile.
Journal Articles
Real-Time Urban Traffic Monitoring Using Transit Buses as Probes
Published in Transportation Research Record, 2024
ICN: Interactive convolutional network for forecasting travel demand of shared micromobility
Published in GeoInformatica, 2024
Exploring spatial heterogeneity of e-scooter’s relationship with ridesourcing using explainable machine learning
Published in Transportation Research Part D: Transport and Environment, 2024
Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning
Published in Journal of Transport Geography, 2024
Analyzing shared e-scooter trip frequency on urban road segments in Austin, TX
Published in Case Studies on Transport Policy, 2024
Real-time forecasting of dockless scooter-sharing demand: A spatio-temporal multi-graph transformer approach
Published in IEEE Transactions on Intelligent Transportation Systems, 2023
Wildfire evacuation decision modeling using GPS data
Published in International Journal of Disaster Risk Reduction, 2022
Micromobility trip origin and destination inference using general bikeshare feed specification data
Published in Transportation Research Record, 2022
Estimating wildfire evacuation decision and departure timing using large-scale GPS data
Published in Transportation research part D: transport and environment, 2022
A highway vehicle routing dataset during the 2019 Kincade Fire evacuation
Published in Scientific data, 2022
Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships
Published in Transportation Research Part A: Policy and Practice, 2021
Autonomous vehicles’ car-following drivability evaluation based on driving behavior spectrum reference model
Published in Transportation research record, 2021
A spatiotemporal analysis of e-scooters’ relationships with transit and station-based bikeshare
Published in Transportation research part D: transport and environment, 2021
A segment-level model of shared, electric scooter origins and destinations
Published in Transportation Research Part D: Transport and Environment, 2021
Vehicle turning behavior modeling at conflicting areas of mixed-flow intersections based on deep learning
Published in IEEE transactions on intelligent transportation systems, 2019
Simulation of turning vehicles’ behaviors at mixed-flow intersections based on potential field theory
Published in Transportmetrica B: Transport Dynamics, 2019
Accelerated testing for automated vehicles safety evaluation in cut-in scenarios based on importance sampling, genetic algorithm and simulation applications
Published in Journal of intelligent and connected vehicles, 2018
Two-dimensional simulation of turning behavior in potential conflict area of mixed-flow intersections
Published in Computer-Aided Civil and Infrastructure Engineering, 2017
Conference Papers
Urban e-scooter usage prediction based on semantic descriptions: A knowledge-driven AI
Published in Transportation Research Board 104th Annual Meeting, 2025
Street Function Representation Learning on Long-Term Traffic Flow Prediction
Published in Transportation Research Board 104th Annual Meeting, 2025
Impact of Connected and Automated Vehicles on Longitudinal and Lateral Performance of Heterogeneous Traffic Flow in Shared Autonomy on Two-Lane Highways
Published in WCX SAE World Congress Experience, 2025
How Do EV Crashes Differ from ICEV Crashes: A Comparative Study of Pennsylvania
Published in Transportation Research Board 104th Annual Meeting, 2025
Hierarchical Lane-Changing Gaming Decision Model for Heterogeneous Traffic on Two-Lane Highway
Published in Transportation Research Board 104th Annual Meeting, 2025
Exploring Spatial Heterogeneity of E-scooter’s Relationship with Ridesourcing using Explainable Machine Learning
Published in Transportation Research Board 104th Annual Meeting, 2025
Assessing the Effects of Built Environment and Demographics on E-Scooter and E-Bike Usage on City Streets: A Case Study of Austin, TX
Published in Transportation Research Board 104th Annual Meeting, 2025
An Urban Digital Twin Framework for Sustainable Transportation and Smart Cities: A Case Study of Austin, TX
Published in Transportation Research Board 104th Annual Meeting, 2025
Utility or Equity? A Critical Analysis of Existing Public Electric Vehicle Charger Allocations in Austin, Texas
Published in Association of Collegiate Schools of Planning Annual Conference, 2024
ICN: Interactive Convolutional Network for forecasting travel demand of shared micromobility
Published in Transportation Research Board 102nd Annual Meeting, 2023
Forecasting real-time travel demand during wildfire evacuations: A situational-aware multi-graph convolutional recurrent network (SA-MGCRN) approach
Published in Transportation Research Board 102nd Annual Meeting, 2023
Real-time forecasting of dockless scooter-sharing demand: A context-aware spatio-temporal multi-graph convolutional network approach
Published in Transportation Research Board 101st Annual Meeting, 2022
Estimating wildfire evacuation decision and departure timing using massive GPS data
Published in Transportation Research Board 101st Annual Meeting, 2022
Micromobility trip origin and destination inference using General Bikeshare Feed Specification (GBFS) data
Published in Transportation Research Board 100th Annual Meeting, 2021
Vehicle cooperation around lane-changing
Published in Transportation Research Board 98th Annual Meeting, 2019