11 citations · 26 across the 11 of their papers we have counts for
11 papers
Designing a Robust and Cost-Efficient Electrified Bus Network with Sparse Energy Consumption Data
Sara Momen, Yousef Maknoon, Bart van Arem +1
This paper addresses the challenges of charging infrastructure design (CID) for electrified public transport networks using Battery Electric Buses (BEBs) under conditions of sparse…
Edge Case Detection in Automated Driving: Methods, Challenges, and Future Directions
Saeed Rahmani, Sabine Rieder, Erwin de Gelder +6
Automated vehicles (AVs) promise to enhance transportation safety and efficiency. However, ensuring their reliability in real-world conditions remains challenging, particularly due…
A Meaningful Human Control Perspective on User Perception of Partially Automated Driving Systems: A Case Study of Tesla Users
Lucas Elbert Suryana, Sina Nordhoff, Simeon C. Calvert +2
The use of partially automated driving systems raises concerns about potential responsibility issues, posing risk to the system safety, acceptance, and adoption of these technologi…
Data-Driven Semi-Supervised Machine Learning with Safety Indicators for Abnormal Driving Behavior Detection
Yongqi Dong, Lanxin Zhang, Haneen Farah +2
Detecting abnormal driving behavior is critical for road traffic safety and the evaluation of drivers' behavior. With the advancement of machine learning (ML) algorithms and the ac…
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
Yongqi Dong, Xingmin Lu, Ruohan Li +3
The burgeoning navigation services using digital maps provide great convenience to drivers. Nevertheless, the presence of anomalies in lane rendering map images occasionally introd…
Mode substitution induced by electric mobility hubs: results from Amsterdam
Fanchao Liao, Jaap Vleugel, Gustav Bösehans +5
Electric mobility hubs (eHUBS) are locations where multiple shared electric modes including electric cars and e-bikes are available. To assess their potential to reduce private car…
Effect of eHMI on pedestrian road crossing behavior in shared space with Automated Vehicles-A Virtual Reality study
Yan Feng, Haneen Farah, Bart van Arem
A shared space area is a low-speed urban area in which pedestrians, cyclists, and vehicles share the road, often relying on informal interaction rules and greatly expanding freedom…
Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning
Henan Yuan, Penghui Li, Bart van Arem +2
Traffic scenarios in roundabouts pose substantial complexity for automated driving. Manually mapping all possible scenarios into a state space is labor-intensive and challenging. D…
Framework for Network-Constrained Tracking of Cyclists and Pedestrians
Alphonse Vial, Gustaf Hendeby, Winnie Daamen +2
The increase in perception capabilities of connected mobile sensor platforms (e.g., self-driving vehicles, drones, and robots) leads to an extensive surge of sensed features at var…
A flock-like two-dimensional cooperative vehicle formation model based on potential functions
Ruochen Hao, Meiqi Liu, Wanjing Ma +2
Platooning on highways with connected and automated vehicles (CAVs) has attracted considerable attention, while how to mange and coordinate platoons in urban networks remains large…
Modelling supported driving as an optimal control cycle: Framework and model characteristics
Meng Wang, Martin Treiber, Winnie Daamen +2
Driver assistance systems support drivers in operating vehicles in a safe, comfortable and efficient way, and thus may induce changes in traffic flow characteristics. This paper pu…