Review on the impacts of cooperative automated driving on transportation and environment
This research conducts a comprehensive review on the social impacts of Cooperative
Automated Driving (CAD), including Infrastructure Enabled Autonomy (IEA). In order for …
Automated Driving (CAD), including Infrastructure Enabled Autonomy (IEA). In order for …
A review of connected and automated vehicle platoon merging and splitting operations
Connected and automated vehicle (CAV) platoons have drawn much attention in the past
decades, given their potential to reduce fuel consumption, elevate roadway capacity, and …
decades, given their potential to reduce fuel consumption, elevate roadway capacity, and …
Transportation 5.0: The DAO to safe, secure, and sustainable intelligent transportation systems
In 2014, IEEE Intelligent Transportation Systems Society established a Technical Committee
on Transportation 5.0 with the mission of promoting and transforming the deployment of …
on Transportation 5.0 with the mission of promoting and transforming the deployment of …
The OpenCDA open-source ecosystem for cooperative driving automation research
Advances in Single-vehicle intelligence of automated driving has encountered great
challenges because of limited capabilities in perception and interaction with complex traffic …
challenges because of limited capabilities in perception and interaction with complex traffic …
Secure cooperative localization for connected automated vehicles based on consensus
In this article, we present secure cooperative localization for connected automated vehicles
(CAVs) based on consensus estimation through leveraging shared but possibly attacked …
(CAVs) based on consensus estimation through leveraging shared but possibly attacked …
Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach
This manuscript presents an Adam optimization-based Deep Reinforcement Learning model
for Mixed Traffic Flow control (ADRL-MTF), so as to guide Connected and Autonomous …
for Mixed Traffic Flow control (ADRL-MTF), so as to guide Connected and Autonomous …
DRL-TP3: A learning and control framework for signalized intersections with mixed connected automated traffic
The emerging connected and automated vehicle (CAV) technologies offer new opportunities
for urban signalized intersection management. Through wireless communication and …
for urban signalized intersection management. Through wireless communication and …
Real-Time multi-objective optimization of safety and mobility at signalized intersections
ABSTRACT Adaptive Traffic Signal Control (ATSC) is becoming a popular dynamic traffic
management technique, especially with the emerging connected vehicles (CVs) technology …
management technique, especially with the emerging connected vehicles (CVs) technology …
The solid line prohibiting lane changing to improve traffic efficiency in the on-ramp merging area
N Guo, FH Jiang, KJ Zhu, CY Wu… - … B: Transport Dynamics, 2023 - Taylor & Francis
When on-ramp bottlenecks are activated, road capacity on the mainline drops sharply. This
paper presents a method of adding white solid lines between lanes of the mainline in the on …
paper presents a method of adding white solid lines between lanes of the mainline in the on …
Vehicle trajectory control and signal timing optimization of isolated intersection under V2X environment
Y Zou, M Li, J Guo, E Yao… - Journal of Advanced …, 2023 - Wiley Online Library
This study proposes a two‐level optimization model system for vehicle control and signal
timing at isolated signal intersections under the mixed traffic flow environment composed of …
timing at isolated signal intersections under the mixed traffic flow environment composed of …