[HTML][HTML] Trajectory data-based traffic flow studies: A revisit
In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …
Macroscopic traffic flow modelling of large-scale freeway networks with field data verification: State-of-the-art review, benchmarking framework, and case studies using …
Y Wang, X Yu, J Guo, I Papamichail… - … Research Part C …, 2022 - Elsevier
Macroscopic traffic flow models are of paramount importance to traffic surveillance and
control. Before their employments in applications, the models need to be calibrated and …
control. Before their employments in applications, the models need to be calibrated and …
Understanding traffic bottlenecks of long freeway tunnels based on a novel location-dependent lighting-related car-following model
To understand the formation of lighting-related traffic bottlenecks along the long freeway
tunnels in the daytime, this study develops an intelligent driver model incorporating the …
tunnels in the daytime, this study develops an intelligent driver model incorporating the …
An integrated lane change prediction model incorporating traffic context based on trajectory data
Predicting lane change maneuvers is critical for autonomous vehicles and traffic
management as lane change may cause conflict in traffic flow. Most existing studies do not …
management as lane change may cause conflict in traffic flow. Most existing studies do not …
An integrated car-following and lane changing vehicle trajectory prediction algorithm based on a deep neural network
Vehicle trajectory prediction is essential for the operation safety and control efficiency of
automated driving. Prevailing studies predict car following and lane change processes in a …
automated driving. Prevailing studies predict car following and lane change processes in a …
Cooperative lane changing strategies to improve traffic operation and safety nearby freeway off-ramps in a connected and automated vehicles environment
The study proposes a cooperative lane changing strategy to improve traffic operation and
safety at a diverging area nearby a highway off-ramp in an environment with connected and …
safety at a diverging area nearby a highway off-ramp in an environment with connected and …
[HTML][HTML] Flow-aware platoon formation of connected automated vehicles in a mixed traffic with human-driven vehicles
S Woo, A Skabardonis - Transportation research part C: emerging …, 2021 - Elsevier
Abstract Connected Automated Vehicles (CAVs) bring promise of increasing traffic capacity
and energy efficiency by forming platoons with short headways on the road. However at low …
and energy efficiency by forming platoons with short headways on the road. However at low …
Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories
Lane changes made during traffic oscillations on freeways largely affect traffic safety and
could increase collision potentials. Predicting the impacts of lane change can help to …
could increase collision potentials. Predicting the impacts of lane change can help to …
Connected and automated vehicle distributed control for on-ramp merging scenario: A virtual rotation approach
This study proposes a rotation-based connected automated vehicle (CAV) distributed
cooperative control strategy for an on-ramp merging scenario. By assuming the mainline …
cooperative control strategy for an on-ramp merging scenario. By assuming the mainline …
A Gaussian-process-based data-driven traffic flow model and its application in road capacity analysis
To estimate the accurate fundamental relationship in traffic flow, this paper proposes a novel
framework that extends classical fundamental diagram (FD) models to incorporate more …
framework that extends classical fundamental diagram (FD) models to incorporate more …