[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 …
Impacts of connected and automated vehicles on road safety and efficiency: A systematic literature review
A Matin, H Dia - IEEE Transactions on Intelligent Transportation …, 2022 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs), in the context of cooperative intelligent
transportation systems (C-ITS), are capable of exchanging information with each other and …
transportation systems (C-ITS), are capable of exchanging information with each other and …
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
Capturing car-following behaviors by deep learning
In this paper, we propose a deep neural network-based car-following model that has two
distinctive properties. First, unlike most existing car-following models that take only the …
distinctive properties. First, unlike most existing car-following models that take only the …
Processing, assessing, and enhancing the Waymo autonomous vehicle open dataset for driving behavior research
Abstract Recently released Autonomous Vehicle (AV) trajectory datasets can potentially
catalyze research progress on AV-oriented traffic flow analysis. This paper aims to …
catalyze research progress on AV-oriented traffic flow analysis. This paper aims to …
Dynamic driving risk potential field model under the connected and automated vehicles environment and its application in car-following modeling
This paper proposes a new dynamic driving risk potential field model under the connected
and automated vehicles environment that fully considers the dynamic effect of the vehicle's …
and automated vehicles environment that fully considers the dynamic effect of the vehicle's …
A novel lane-changing model of connected and automated vehicles: Using the safety potential field theory
In order to adequately characterize the driving risks that vehicles face during the lane
change process and ensure that vehicles perform safer lane change decisions, a vehicle …
change process and ensure that vehicles perform safer lane change decisions, a vehicle …
A simple nonparametric car-following model driven by field data
Car-following models are always of great interest of traffic engineers and researchers. In the
age of mass data, this paper proposes a nonparametric car-following model driven by field …
age of mass data, this paper proposes a nonparametric car-following model driven by field …
Towards data-driven car-following models
V Papathanasopoulou, C Antoniou - Transportation Research Part C …, 2015 - Elsevier
Car following models have been studied with many diverse approaches for decades.
Nowadays, technological advances have significantly improved our traffic data collection …
Nowadays, technological advances have significantly improved our traffic data collection …
Velocity control in car-following behavior with autonomous vehicles using reinforcement learning
Car-following behavior is a common driving behavior. It is necessary to consider the
following vehicle in the car-following model of autonomous vehicle (AV) under the …
following vehicle in the car-following model of autonomous vehicle (AV) under the …