Yiming Xu
Cited by
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Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships
Y Xu, X Yan, X Liu, X Zhao
Transportation Research Part A: Policy and Practice 144, 170-188, 2021
A spatiotemporal analysis of e-scooters’ relationships with transit and station-based bikeshare
X Yan, W Yang, X Zhang, Y Xu, I Bejleri, X Zhao
Transportation research part D: transport and environment 101, 103088, 2021
A segment-level model of shared, electric scooter origins and destinations
LA Merlin, X Yan, Y Xu, X Zhao
Transportation Research Part D: Transport and Environment 92, 102709, 2021
Estimating wildfire evacuation decision and departure timing using large-scale GPS data
X Zhao, Y Xu, R Lovreglio, E Kuligowski, D Nilsson, TJ Cova, A Wu, X Yan
Transportation research part D: transport and environment 107, 103277, 2022
Two‐dimensional simulation of turning behavior in potential conflict area of mixed‐flow intersections
Z Ma, J Xie, X Qi, Y Xu, J Sun
Computer‐Aided Civil and Infrastructure Engineering 32 (5), 412-428, 2017
Accelerated testing for automated vehicles safety evaluation in cut-in scenarios based on importance sampling, genetic algorithm and simulation applications
Y Xu, Y Zou, J Sun
Journal of intelligent and connected vehicles 1 (1), 28-38, 2018
Vehicle turning behavior modeling at conflicting areas of mixed-flow intersections based on deep learning
J Sun, X Qi, Y Xu, Y Tian
IEEE transactions on intelligent transportation systems 21 (9), 3674-3685, 2019
Micromobility trip origin and destination inference using general bikeshare feed specification data
Y Xu, X Yan, VP Sisiopiku, LA Merlin, F Xing, X Zhao
Transportation Research Record 2676 (11), 223-238, 2022
Simulation of turning vehicles’ behaviors at mixed-flow intersections based on potential field theory
Y Xu, Z Ma, J Sun
Transportmetrica B: Transport Dynamics, 2018
Wildfire evacuation decision modeling using GPS data
A Wu, X Yan, E Kuligowski, R Lovreglio, D Nilsson, TJ Cova, Y Xu, X Zhao
International Journal of Disaster Risk Reduction 83, 103373, 2022
Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach
Y Xu, X Zhao, X Zhang, M Paliwal
IEEE Transactions on Intelligent Transportation Systems, 2023
Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning
X Zhang, Z Zhou, Y Xu, X Zhao
Journal of Transport Geography 114, 103782, 2024
Autonomous Vehicles’ Car-Following Drivability Evaluation Based on Driving Behavior Spectrum Reference Model
X Qi, Y Ni, Y Xu, Y Tian, J Wang, J Sun
Transportation research record 2675 (7), 129-141, 2021
Micromobility as a Solution to Reduce Urban Traffic Congestion
X Zhao, VP Sisiopiku, RL Steiner, Y Xu, Y Liu, D Yan, J Khalil, W Yang, ...
Southeastern Transportation Research, Innovation, Development and Education …, 2022
Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires
X Zhang, X Zhao, Y Xu, R Lovreglio, D Nilsson
arXiv preprint arXiv:2304.06233, 2023
A highway vehicle routing dataset during the 2019 Kincade Fire evacuation
Y Xu, X Zhao, R Lovreglio, E Kuligowski, D Nilsson, TJ Cova, X Yan
Scientific data 9 (1), 608, 2022
ICN: Interactive Convolutional Network for Forecasting Travel Demand of Shared Micromobility
Y Xu, Q Ke, X Zhang, X Zhao
arXiv preprint arXiv:2306.13897, 2023
Do e-scooters fill mobility gaps and promote equity before and during COVID-19? A spatiotemporal analysis using open big data (preprint)
X Yan, W Yang, X Zhang, Y Xu, I Bejleri, X Zhao
Vehicle Cooperation Around Lane-Changing
D Chen, Y Xu, J Sun
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
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