Results 61 to 70 of about 279 (160)

Review of driver behaviour modelling for highway on‐ramp merging

IET Intelligent Transport Systems, Volume 18, Issue S1, Page 2793-2813, December 2024.
A review of drivers behaviours modelling in highway on‐ramps with a focus on current research trend, “data‐driven approaches”, and its associated challenges. Abstract Autonomous driving is an exciting research field that has received growing attention in recent years. One of the most challenging and safety‐critical driving situations is highway on‐ramp
Zine el abidine Kherroubi, Samir Aknine
wiley   +1 more source

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

Cloud‐based DMPC structure for velocity consensus and lane following of heterogeneous automated vehicles

IET Control Theory &Applications, Volume 18, Issue 17, Page 2379-2389, November 2024.
This paper investigates the challenges associated with the velocity consensus and the lane following in heterogeneous automated vehicles considered as agents of a multi agent system. A cloud‐based distributed model predictive control structure is proposed to address the distributed intrinsic of such systems.
Ali Karami Ghanavati, Ali Akbar Safavi, Mohammad Shakerpour   +2 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

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

Deep Q‐network learning‐based active speed management under autonomous driving environments

Computer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 21, Page 3225-3242, 1 November 2024.
Abstract Efficient traffic safety management necessitates real‐time crash risk prediction using expressway characteristics. With the emergence of autonomous vehicles (AVs), the development and evaluation of variable speed limit (VSL) strategies, a key active traffic management technique, become crucial for enhancing safety and mobility in mixed traffic
Kawon Kang, Nuri Park, Juneyoung Park, Mohamed Abdel‐Aty   +3 more
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