Results 41 to 50 of about 15,876 (225)
Cooperative Adaptive Cruise Control Design and Implementation
<div class="section abstract"><div class="htmlview paragraph">In this manuscript a design and implementation of CACC on an autonomous vehicle platform (2017 Ford Fusion) is presented. The developed CACC controls the intervehicle distance between the target vehicle and ego vehicle using a feedforward PD controller.
Cantas, Mustafa Ridvan +3 more
openaire +2 more sources
ABSTRACT This study identifies and conceptualises the grey zone of stakeholder engagement and explores how it manifests in a collaborative context related to the promotion of a circular economy. While prior research on stakeholder engagement has highlighted the positive, value‐creating bright side or the harmful dark side of stakeholder engagement, we ...
Annika Blomberg +2 more
wiley +1 more source
Investigation of Different Communication Topologies for Cooperative Adaptive Cruise Control Systems
After Adaptive Cruise Control (ACC) system applications, Cooperative Adaptive Cruise Control (CACC) systems are becoming an important part of automotive technology and industry in autonomous vehicles convoy applications.
Beyhannur Gülden, Mumin Tolga Emirler
doaj +1 more source
Cooperative adaptive cruise control (CACC) realizes efficient, intelligent control of vehicle acceleration, deceleration, and steering, through inter‐vehicle communication and cooperative control.
Sikai Lu +5 more
doaj +1 more source
Stochastic String Stability of Vehicle Platoons via Cooperative Adaptive Cruise Control with Lossy Communication [PDF]
This paper is about obtaining stable vehicle platooning by using Cooperative Adaptive Cruise Control when the communication is unreliable and suffers from message losses.
Acciani, Francesco +3 more
core +1 more source
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu +3 more
wiley +1 more source
The majority of current studies on autonomous vehicle control via deep reinforcement learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which includes acceleration delay and acceleration command dynamics.
Azad, Nasser L., Lin, Yuan, McPhee, John
core +1 more source
Operating Capacity, Pricing and Supply Elasticity in Container Shipping Markets
ABSTRACT We investigate the channels through which changes in operating capacity influence freight rates in the container shipping market using a novel dataset to create an operating capacity index at the shipping‐route level. Our analysis reveals that when supply elasticity is low, an increase in operating capacity tends to drive freight rates upward,
Cong Sui +3 more
wiley +1 more source
To optimize fuel economy for platooning plug-in hybrid electric trucks, this paper proposes a co-optimization framework that integrates cooperative adaptive cruise control and energy management to enhance driving safety and fuel efficiency in complex ...
Xin Liu +5 more
doaj +1 more source
Determining the effect automated and connected vehicles could have on traffic flow would – ideally – require testing the vehicles themselves in a real-world environment. In the absence of large-scale, real-world testing, researchers used traffic modeling
Jeffrey Shelton +5 more
doaj +1 more source

