Results 61 to 70 of about 276 (158)

Cooperative Adaptive Cruise Control Strategy Optimization for Electric Vehicles Based on SA-PSO With Model Predictive Control

IEEE Access, 2020
The Cooperative Adaptive Cruise Control (CACC) is considered to be an effective method to improve traffic flow. However, the comfortability and economy need to be paid more attention to besides stability and safety.
Hao Ma, Liang Chu, Jianhua Guo, Jiawei Wang, Chong Guo   +4 more
doaj   +1 more source

Modelling the fundamental diagram of traffic flow mixed with connected vehicles based on the risk potential field

IET Intelligent Transport Systems, Volume 18, Issue 9, Page 1616-1631, September 2024.
In this study, the fundamental diagram (FD) of mixed traffic flows containing connected vehicles (CVs) and nonconnected vehicles (NCVs) was constructed within a unified framework. We derived the FD of mixed traffic flows based on the relationship between car‐following behavior and the macroscopic traffic flow under steady‐state conditions.
Jiacheng Yin, Peng Cao, Zongping Li, Linheng Li, Zhao Li, Duo Li   +5 more
wiley   +1 more source

Impacts of connected vehicles in a complex, congested urban freeway setting using multi-resolution modeling methods

International Journal of Transportation Science and Technology, 2019
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, Jason Wagner, Swapnil Samant, Ginger Goodin, Tim Lomax, Ed Seymour   +5 more
doaj   +1 more source

A simulation‐based impact assessment of autonomous vehicles in urban networks

IET Intelligent Transport Systems, Volume 18, Issue 9, Page 1677-1696, September 2024.
This research, conducts a simulation‐based impact assessment in a city‐wide network using optimized car following behaviour of autonomous vehicles. Abstract The behavioural differences between autonomous vehicles (AVs) and human‐driven vehicles (HDVs) can significantly impact traffic efficiency, safety, and emissions.
Hashmatullah Sadid, Constantinos Antoniou   +1 more
wiley   +1 more source

Evaluating the characteristics of mixed traffic flow under the intelligent connected environment based on autonomous driving dataset

Urban Lifeline
Mixed traffic flow, consisting of human-driven vehicles (HDVs) and connected autonomous vehicles (CAVs), is expected to dominate future roadways. This study develops a heterogeneous traffic flow model in an intelligent connected environment to analyze ...
Ying Hu, Xiaonian Shan, Changxin Wan
doaj   +1 more source

Cooperative Adaptive Cruise Control (CACC) for Truck Platooning: Operational Concept Alternatives [PDF]

, 2015
Cooperative Adaptive Cruise Control (CACC) provides an intermediate step toward a longer-term vision of trucks operating in closely-coupled automated platoons. There are important distinctions between CACC and automated truck platooning. First, with CACC, only truck speed control will be automated, using vehicle to vehicle (V2V) communication to ...
Nowakowski, Christopher, Shladover, Steven E, Lu, Xiao-Yun, Thompson, Deborah, Kailas, Aravind   +4 more
openaire   +1 more source

Nonlinear predictor‐feedback cooperative adaptive cruise control of vehicles with nonlinear dynamics and input delay

International Journal of Robust and Nonlinear Control, Volume 34, Issue 10, Page 6683-6698, 10 July 2024.
Summary We construct a nonlinear predictor‐feedback cooperative adaptive cruise control (CACC) design for homogeneous vehicular platoons subject to actuators delays, which achieves: (i) positivity of vehicles' speed and spacing states, (ii) ℒ∞$$ {\mathcal{L}}_{\infty } $$ string stability of the platoon, (iii) stability of each individual vehicular ...
Nikolaos Bekiaris‐Liberis
wiley   +1 more source

Fuel Consumption Evaluation of Connected Automated Vehicles Under Rear-End Collisions

Promet (Zagreb), 2023
Connected automated vehicles (CAV) can increase traffic efficiency, which is considered a critical factor in saving energy and reducing emissions in traffic congestion.
Qingchao Liu, Wenjie Ouyang, Jingya Zhao, Yingfeng Cai, Long Chen   +4 more
doaj  

Cooperative Adaptive Cruise Control (CACC) For Partially Automated Truck Platooning:Final Report [PDF]

, 2018
Cooperative Adaptive Cruise Control (CACC) provides an intermediate step toward a longer-term vision of trucks operating in closely-coupled automated platoons on both long-haul and short-haul freight corridors. There are important distinctions between CACC and automated truck platooning.
Shladover, Steven, Lu, Xiao-Yun, Yang, Shiyan, Ramezani, Hani, Spring, John, Nowakowski, Christopher, Nelson, David   +6 more
openaire  

Automated Merging in a Cooperative Adaptive Cruise Control (CACC) System

, 2011
Cooperative Adaptive Cruise Control (CACC) is a form of cruise control in which a vehicle maintains a constant headway to its preceding vehicle using radar and vehicle-to-vehicle (V2V) communication. Within the Connect & Drive1 project we have implemented and tested a prototype of such a system, with IEEE 802.11p as the enabling communication ...
Klein Wolterink, W., Heijenk, Geert, Karagiannis, Georgios   +2 more
openaire   +1 more source