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Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
The Road Network Design Problem for the Deployment of Automated Vehicles (RNDP-AVs)
The Road Network Design Problem for the Deployment of Automated Vehicles (RNDP-AVs): A Nonlinear Programming Mathematical Model
Improving Traffic Efficiency With Lane Guidance Based on Desired Speeds
Improving Traffic Efficiency With Lane Guidance Based on Desired Speeds
Mode substitution induced by electric mobility hubs
Mode substitution induced by electric mobility hubs: Results from Amsterdam
Ride experience in automated minibuses
Ride experience in automated minibuses: measuring users' transport mode preferences before and after a test ride
Safety Assessment of the Interaction Between an Automated Vehicle and a Cyclist
Safety Assessment of the Interaction Between an Automated Vehicle and a Cyclist: A Controlled Field Test
On the Relocation Behavior of Ride-sourcing Drivers
On the Relocation Behavior of Ride-sourcing Drivers
Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection
Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection
Characterizing Behavioral Differences of Autonomous Vehicles and Human-Driven Vehicles at Signalized Intersections Based on Waymo Open Dataset
Characterizing Behavioral Differences of Autonomous Vehicles and Human-Driven Vehicles at Signalized Intersections Based on Waymo Open Dataset
Prioritizing Cyclists at Signalized Intersections Using Observations from Connected Autonomous Vehicles
Prioritizing Cyclists at Signalized Intersections Using Observations from Connected Autonomous Vehicles
Stochastic-priority-integrated signal coordination considering connected bus operation uncertainties
Stochastic-priority-integrated signal coordination considering connected bus operation uncertainties
Social-Aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control
Social-Aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control: Driving Through Roundabouts as a Case Study
Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning
Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning
Social-aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control
Social-aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control: Driving through Roundabouts as a Case Study
Managing connected and automated vehicles with flexible routing at “lane-allocation-free” intersections
Managing connected and automated vehicles with flexible routing at “lane-allocation-free” intersections
Hierarchical Optimal Maneuver Planning and Trajectory Control at On-Ramps With Multiple Mainstream Lanes
Hierarchical Optimal Maneuver Planning and Trajectory Control at On-Ramps With Multiple Mainstream Lanes
A Hybrid Spatial-temporal Sequence-to-one Neural Network Model for Lane Detection
A Hybrid Spatial-temporal Sequence-to-one Neural Network Model for Lane Detection
Framework for Network-Constrained Tracking of Cyclists and Pedestrians
Framework for Network-Constrained Tracking of Cyclists and Pedestrians
An agent-based model for assessing the financial viability of autonomous mobility on-demand systems used as first and last-mile of public transport trips
An agent-based model for assessing the financial viability of autonomous mobility on-demand systems used as first and last-mile of public transport trips: A case-study in Rotterdam, the Netherlands
Efficient evaluation of stochastic traffic flow models using Gaussian process approximation
Efficient evaluation of stochastic traffic flow models using Gaussian process approximation
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