[HTML][HTML] Integrated self-consistent macro-micro traffic flow modeling and calibration framework based on trajectory data
Calibrating microscopic car-following (CF) models is crucial in traffic flow theory as it allows
for accurate reproduction and investigation of traffic behavior and phenomena. Typically, the …
for accurate reproduction and investigation of traffic behavior and phenomena. Typically, the …
Impact of driver's advanced reaction time in car-following model with optimal velocity deviation under V2X environment
The vehicle-to-everything (V2X) technology has made a significant advancement in the field
of intelligent transportation in recent years. When operating a vehicle in a V2X environment …
of intelligent transportation in recent years. When operating a vehicle in a V2X environment …
A self-adaptive IDM car-following strategy considering asymptotic stability and damping characteristics
In this study, based on the comprehensive analysis of asymptotic stability and damping
characteristics for the Intelligent Driver Model (IDM) car-following strategy, we propose a self …
characteristics for the Intelligent Driver Model (IDM) car-following strategy, we propose a self …
Urban traffic flow congestion prediction based on a data-driven model
Intelligent transportation systems need to realize accurate traffic congestion prediction. The
spatio-temporal features of traffic flow are essential to analyze and predict congestion. Our …
spatio-temporal features of traffic flow are essential to analyze and predict congestion. Our …
Dynamic systems modeling and integrated transportation demand-and-supply management with a polynomial arrival queue model
Dynamic systems modeling (DSM) provides an opportunity to systematically investigate
traffic system dynamics at the network scale. However, simulation-based DSM approaches …
traffic system dynamics at the network scale. However, simulation-based DSM approaches …
Linear internal stability for mixed traffic flow of CAVs with different automation levels
Z Yao, H Deng, Z Chen, X He, Y Ai, Y Wu - Physica A: Statistical Mechanics …, 2024 - Elsevier
With the development of autonomous driving and vehicle-to-infrastructure technologies,
connected automated vehicles (CAVs) will gradually replace human-driven vehicles (HDVs) …
connected automated vehicles (CAVs) will gradually replace human-driven vehicles (HDVs) …
A Multi-agent Reinforcement Learning Based Control Method for Connected and Autonomous Vehicles in A Mixed Platoon
Y Xu, Y Shi, X Tong, S Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the development of automatic driving technology and the Internet of Vehicles,
platooning based on control of Connected and Autonomous Vehicles (CAVs) has become …
platooning based on control of Connected and Autonomous Vehicles (CAVs) has become …
Lane change decision prediction: an efficient BO-XGB modelling approach with SHAP analysis
H Sun, Q Cheng, P Wang, Y Huang… - … A: Transport Science, 2024 - Taylor & Francis
The lane-change decision (LCD) is a critical aspect of driving behaviour. This study
proposes an LCD model based on a Bayesian optimization (BO) framework and extreme …
proposes an LCD model based on a Bayesian optimization (BO) framework and extreme …
A novel car-following model incorporating advance reaction time with passing
In recent years, Vehicle-to-Everything (V2X) technology has undergone significant
advancements, particularly in the realm of intelligent transportation systems. This technology …
advancements, particularly in the realm of intelligent transportation systems. This technology …
ULTra-AV: A Unified Longitudinal Trajectory Dataset for Automated Vehicle
Automated Vehicles (AVs) promise significant advances in transportation. Critical to these
improvements is understanding AVs' longitudinal behavior, relying heavily on real-world …
improvements is understanding AVs' longitudinal behavior, relying heavily on real-world …