Car-following models for human-driven vehicles and autonomous vehicles: A systematic review
The focus of car-following models is to analyze the microscopic characteristics of traffic
flows, with particular attention given to the interaction between adjacent vehicles. This paper …
flows, with particular attention given to the interaction between adjacent vehicles. This paper …
An Overview of Agent‐Based Models for Transport Simulation and Analysis
J Huang, Y Cui, L Zhang, W Tong… - Journal of Advanced …, 2022 - Wiley Online Library
This article presents an overview of the agent‐based modeling and simulation approach
and its recent developments in transport fields, with the purpose of discovering the …
and its recent developments in transport fields, with the purpose of discovering the …
Calibration of the intelligent driver model (IDM) with adaptive parameters for mixed autonomy traffic using experimental trajectory data
Autonomous vehicles (AVs) are expected and demonstrated to increase local traffic
throughput and improve traffic stability. However, their car-following behaviour is not fully …
throughput and improve traffic stability. However, their car-following behaviour is not fully …
Network traffic instability with automated driving and cooperative merging
Connected and/or automated vehicles (CAVs or AVs) have been shown to dampen stop-and-
go waves in mixed autonomy traffic, thus improving string stability. However, their effects on …
go waves in mixed autonomy traffic, thus improving string stability. However, their effects on …
Analyzing the impact of mixed vehicle platoon formations on vehicle energy and traffic efficiencies
Connected and automated vehicles (CAVs) offer promising prospects for the future of
transportation. However, the longstanding dominance of human-driven vehicles (HDVs) in …
transportation. However, the longstanding dominance of human-driven vehicles (HDVs) in …
Learning from Trajectories: How Heterogeneous CACC Platoons Affect the Traffic Flow in Highway Merging Area
Q Liu, C Gao, H Wang, Y Cai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Vehicle platoons equipped with cooperative adaptive cruise control (CACC) have the
potential to improve traffic stability and reduce congestion. Existing CACC research lacks …
potential to improve traffic stability and reduce congestion. Existing CACC research lacks …
Impact of self-parking autonomous vehicles on urban traffic congestion
The advent of autonomous vehicles (AVs) is likely to introduce new mobility experiences for
travelers. In particular, AVs would allow travelers to get off at the destinations and then drive …
travelers. In particular, AVs would allow travelers to get off at the destinations and then drive …
Impact evaluation of cyber-attacks on traffic flow of connected and automated vehicles
Connected and automated vehicles (CAVs) can improve transportation safety and efficiency
based on vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) communications …
based on vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) communications …
String stability of automated vehicles based on experimental analysis of feedback delay and parasitic lag
Recent literature shows that automated vehicle (AV) significantly impacts traffic flow stability.
However, as a widely used longitudinal AV technology, the Adaptive Cruise Control (ACC) …
However, as a widely used longitudinal AV technology, the Adaptive Cruise Control (ACC) …
Joint routing and pricing control in congested mixed autonomy networks
Routing controllability of connected and autonomous vehicles (CAVs) has been shown to
reduce the adverse effects of selfish routing on the network efficiency. However, the …
reduce the adverse effects of selfish routing on the network efficiency. However, the …