Results 71 to 80 of about 20,354 (202)

Cooperative Control of Vehicular Platoon in Mixed Traffic Environment

open access: yesKongzhi Yu Xinxi Jishu, 2021
Vehicular platoon has potential to significantly enhance driving safety, increase traffic flow and improve fuel economy. Existing research mostly focuses on platoons composed of only intelligent connected vehicles, which is difficult to meet mixed ...
YANG Yilin   +5 more
doaj  

Safely Optimizing Highway Traffic with Robust Model Predictive Control-based Cooperative Adaptive Cruise Control

open access: yes, 2016
Road traffic crashes have been the leading cause of death among young people. Most of these accidents occur when the driver becomes distracted due to fatigue or external factors.
Massera, Carlos M.   +2 more
core   +1 more source

Emergency response vehicle routing allowing lane straddling in congested traffic conditions under connected and autonomous vehicle environment

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 31, Page 6552-6576, 29 December 2025.
Abstract Routing an emergency response vehicle (ERV) is essential to sustain the society and save people in high risk. ERV must have top priority on highways to pass through without interference with other non‐ERVs. Congested road traffic conditions, however, might not allow for such a priority.
Jiyoung Kim, Keemin Sohn
wiley   +1 more source

Vehicle Velocity Control in Case of Two Vehicle Platoon Merging into One Vehicle Platoon [PDF]

open access: yesInternational Journal of Machine Learning and Computing, 2020
Eisuke Kita, Miichiro Yamada
openaire   +1 more source

Traffic signal optimization for emissions mitigation in urban road networks with contraflow left‐turn lanes

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 31, Page 6533-6551, 29 December 2025.
Abstract The concept of contraflow left‐turn lane (CLL) design has been proposed for nearly 10 years, which provides a novel approach to alleviate traffic congestion in urban areas, especially for those signalized intersections with heavy left‐turn traffic.
Xiao Chen, Yunqing Jia
wiley   +1 more source

Stochastic String Stability of Vehicle Platoons via Cooperative Adaptive Cruise Control with Lossy Communication [PDF]

open access: yes, 2019
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

A Systematic Review of Empirical Studies on Situation Awareness: Perspectives From the Interaction Among Humans, Machines, and the Task Environment

open access: yesPsyCh Journal, Volume 14, Issue 5, Page 718-733, October 2025.
ABSTRACT Situational awareness (SA) refers to “knowing what is going on” in a situation. As an essential concept originating in aviation literature approximately 40 years ago, SA has demonstrated significant potential and has since been extended across various fields, leading to a growing body of research.
Rong Fang   +7 more
wiley   +1 more source

Platoon Joint EKF for Improved Road Friction Estimation in Autonomous Platoons

open access: yesIEEE Access
The advantages inherent to autonomous vehicle platoons render them a pivotal component in the evolution of intelligent transportation systems. Given the minimal spacing between vehicles in such a platoon, ensuring collision-free travel necessitates a ...
Liang Su   +4 more
doaj   +1 more source

A distributed model predictive approach for network traffic signal control using multi‐objective dynamic programming

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 24, Page 3953-3978, 6 October 2025.
Abstract Real‐time traffic signal control (TSC) in road networks remains challenging due to variable traffic flows and high computational complexity. Existing model predictive control (MPC) approaches often face several limitations, including the reliance on commercial solvers, the inflexibility of single‐objective optimization, and the use of ...
Lyuzhou Luo   +3 more
wiley   +1 more source

Explainable reinforcement learning for improved traffic signal control

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 24, Page 3911-3933, 6 October 2025.
Abstract Reinforcement learning has become a popular approach for traffic signal control, but its complexity often hinders practical application. To improve this, we propose a deep Q‐network framework with an attention mechanism inspired by how traffic police manage intersections.
Yuan Hu, Longfei Du, Said M. Easa
wiley   +1 more source

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