[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 …
Operation analysis of freeway mixed traffic flow based on catch-up coordination platoon
X Yang, Y Zou, L Chen - Accident Analysis & Prevention, 2022 - Elsevier
As one of the innovative technologies of intelligent transportation systems (ITS), Connected
and Autonomous Vehicles (CAVs) have been deployed gradually. Given that there will be a …
and Autonomous Vehicles (CAVs) have been deployed gradually. Given that there will be a …
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 …
A recurrent neural network based microscopic car following model to predict traffic oscillation
This paper proposes a recurrent neural network based microscopic car following model that
is able to accurately capture and predict traffic oscillation. Neural network models have …
is able to accurately capture and predict traffic oscillation. Neural network models have …
Analytical formulation for explaining the variations in traffic states: A fundamental diagram modeling perspective with stochastic parameters
Despite the simplicity and practicality of (deterministic) fundamental diagram models in
highway traffic flow theory, the wide scattering effect observed in empirical data remains …
highway traffic flow theory, the wide scattering effect observed in empirical data remains …
A deep reinforcement learning‐based distributed connected automated vehicle control under communication failure
This paper proposes a deep reinforcement learning (DRL)‐based distributed longitudinal
control strategy for connected and automated vehicles (CAVs) under communication failure …
control strategy for connected and automated vehicles (CAVs) under communication failure …
A mechanism to describe the formation and propagation of stop-and-go waves in congested freeway traffic
JA Laval, L Leclercq - Philosophical Transactions of the …, 2010 - royalsocietypublishing.org
This paper introduces a parsimonious theory for congested freeway traffic that describes the
spontaneous appearance of oscillations and their ensuing transformation into stop-and-go …
spontaneous appearance of oscillations and their ensuing transformation into stop-and-go …
On the movement simulations of electric vehicles: A behavioral model-based approach
Y Xu, Y Zheng, Y Yang - Applied Energy, 2021 - Elsevier
Electric vehicles (EVs) are deemed to be a solution for reducing air pollution and
greenhouse gas emissions. As a result, the market share has increased exponentially in …
greenhouse gas emissions. As a result, the market share has increased exponentially in …
Freeway traffic oscillations: microscopic analysis of formations and propagations using wavelet transform
In this paper we identify the origins of stop-and-go (or slow-and-go) driving and measure
microscopic features of their propagations by analyzing vehicle trajectories via Wavelet …
microscopic features of their propagations by analyzing vehicle trajectories via Wavelet …
The relationship between car following string instability and traffic oscillations in finite-sized platoons and its use in easing congestion via connected and automated …
This paper focuses on two fundamental issues in traffic flow modelling: string stability of car
following (CF), and oscillation of traffic flow. Its aim is to explore the complementary use of …
following (CF), and oscillation of traffic flow. Its aim is to explore the complementary use of …