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https://doi.org/10.2139/ssrn.4674250

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inferredcites →https://doi.org/10.1007/978-3-662-46356-7openalex-extracted
Selected Applications of Convex Optimization
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Severity of driver injury and vehicle damage in traffic crashes at intersections: A Bayesian hierarchical analysis
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Modeling fault among motorcyclists involved in crashes
inferredcites →https://doi.org/10.1016/j.aap.2014.02.018openalex-extracted
Bayesian spatial joint modeling of traffic crashes on an urban road network
inferredcites →https://doi.org/10.1016/j.aap.2020.105966openalex-extracted
Safety analysis of freeway on-ramp merging with the presence of autonomous vehicles
inferredcites →https://doi.org/10.1016/j.aap.2021.106546openalex-extracted
Multi-vehicle interaction safety of connected automated vehicles in merging area: A real-time risk assessment approach
inferredcites →https://doi.org/10.1016/j.aap.2022.106645openalex-extracted
Road safety under the environment of intelligent connected vehicles
inferredcites →https://doi.org/10.1016/j.aap.2022.106773openalex-extracted
Development of a conflict risk evaluation model to assess pedestrian safety in interaction with vehicles
inferredcites →https://doi.org/10.1016/j.aap.2022.106810openalex-extracted
Lane-based Distance-Velocity model for evaluating pedestrian-vehicle interaction at non-signalized locations
inferredcites →https://doi.org/10.1016/j.aap.2022.106907openalex-extracted
A co-evolutionary lane-changing trajectory planning method for automated vehicles based on the instantaneous risk identification
inferredcites →https://doi.org/10.1016/j.aap.2023.107020openalex-extracted
Traffic conflict assessment using macroscopic traffic flow variables: A novel framework for real-time applications
inferredcites →https://doi.org/10.1016/j.aap.2023.107203openalex-extracted
Spatio-temporal dynamic change mechanism analysis of traffic conflict risk based on trajectory data
inferredcites →https://doi.org/10.1016/j.physa.2018.04.073openalex-extracted
Inferring driving trajectories based on probabilistic model from large scale taxi GPS data
inferredcites →https://doi.org/10.1016/j.physa.2018.09.136openalex-extracted
Long memory is important: A test study on deep-learning based car-following model
inferredcites →https://doi.org/10.1016/j.sigpro.2020.107796openalex-extracted
Forward-backward filtering and penalized least-Squares optimization: A Unified framework
inferredcites →https://doi.org/10.1016/j.trb.2015.06.010openalex-extracted
Trajectory data reconstruction and simulation-based validation against macroscopic traffic patterns
inferredcites →https://doi.org/10.1016/j.trb.2017.09.018openalex-extracted
A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset
inferredcites →https://doi.org/10.1016/j.trc.2010.12.007openalex-extracted
On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data
inferredcites →https://doi.org/10.1016/j.trc.2020.02.016openalex-extracted
Trajectory data-based traffic flow studies: A revisit
inferredcites →https://doi.org/10.1016/j.trc.2021.103490openalex-extracted
Processing, assessing, and enhancing the Waymo autonomous vehicle open dataset for driving behavior research
inferredcites →https://doi.org/10.1016/j.trc.2021.103503openalex-extracted
Analysis of cooperative driving strategies at road network level with macroscopic fundamental diagram
inferredcites →https://doi.org/10.1016/j.trf.2012.12.002openalex-extracted
Asymmetric stochastic Tau Theory in car-following
inferredcites →https://doi.org/10.1109/access.2020.2987959openalex-extracted
A Modified Post Encroachment Time Model of Urban Road Merging Area Based on Lane-Change Characteristics
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00252openalex-extracted
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
inferredcites →https://doi.org/10.1109/itsc.2018.8569552openalex-extracted
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
inferredcites →https://doi.org/10.1109/itsc55140.2022.9922076openalex-extracted
Driving Safety Monitoring and Warning for Connected and Automated Vehicles via Edge Computing
inferredcites →https://doi.org/10.1109/tcst.2006.886432openalex-extracted
A Safe Longitudinal Control for Adaptive Cruise Control and Stop-and-Go Scenarios
inferredcites →https://doi.org/10.1109/tits.2017.2706963openalex-extracted
Capturing Car-Following Behaviors by Deep Learning
inferredcites →https://doi.org/10.1109/tits.2020.3016304openalex-extracted
A Flexible and Explainable Vehicle Motion Prediction and Inference Framework Combining Semi-Supervised AOG and ST-LSTM
inferredcites →https://doi.org/10.1109/tits.2023.3273565openalex-extracted
CAVSim: A Microscopic Traffic Simulator for Evaluation of Connected and Automated Vehicles
inferredcites →https://doi.org/10.1109/tiv.2020.3027319openalex-extracted
A Multimodality Fusion Deep Neural Network and Safety Test Strategy for Intelligent Vehicles
inferredcites →https://doi.org/10.1109/tiv.2021.3072679openalex-extracted
Cooperative Driving of Automated Vehicles Using B-Splines for Trajectory Planning
inferredcites →https://doi.org/10.1109/tiv.2022.3159088openalex-extracted
Fault-Tolerant Cooperative Driving at Signal-Free Intersections
inferredcites →https://doi.org/10.1109/tiv.2022.3167103openalex-extracted
A Survey on Trajectory-Prediction Methods for Autonomous Driving
inferredcites →https://doi.org/10.1109/tiv.2022.3215503openalex-extracted
MetaScenario: A Framework for Driving Scenario Data Description, Storage and Indexing
inferredcites →https://doi.org/10.1126/scirobotics.aaw4106openalex-extracted
Parallel testing of vehicle intelligence via virtual-real interaction
inferredcites →https://doi.org/10.1137/0914086openalex-extracted
The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems
inferredcites →https://doi.org/10.1137/1034115openalex-extracted
Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
inferredcites →https://doi.org/10.1177/0361198105193400101openalex-extracted
Nonstationary Kalman Filter for Estimation of Accurate and Consistent Car-Following Data
inferredcites →https://doi.org/10.1177/0361198105193400126openalex-extracted
Calibration of Distributions of Commercial Motor Vehicles in CORSIM
inferredcites →https://doi.org/10.1177/03611981231185768openalex-extracted
CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety-Oriented Research and Digital Twins
inferredcites →https://doi.org/10.1609/aaai.v33i01.33016120openalex-extracted
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
inferredcites →https://doi.org/10.3141/1934-26openalex-extracted
Calibration of Distributions of Commercial Motor Vehicles in CORSIM
inferredcites →https://doi.org/10.3141/2088-10openalex-extracted
Estimating Acceleration and Lane-Changing Dynamics from Next Generation Simulation Trajectory Data
inferredcites →https://doi.org/10.3141/2088-16openalex-extracted
Calibrating Car-Following Models by Using Trajectory Data
inferredcites →https://doi.org/10.3141/2088-20openalex-extracted
Estimating Individual Speed-Spacing Relationship and Assessing Ability of Newell's Car-Following Model to Reproduce Trajectories
inferredcites →https://doi.org/10.36227/techrxiv.16458963.v3openalex-extracted
L2 and L1Trend Filtering: A Kalman Filter Approach amodification
inferredcites →https://doi.org/10.48550/arxiv.1811.02146openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1912.04838openalex-extracted
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