Results 71 to 80 of about 4,959 (194)
Currently, there is a widespread concern over cooperative driving based on vehicle-to-vehicle communication due to its considerable potential to improve the increased traffic safety, efficiency, costs, and intellectualization.
Junhui Zhang, Qing Li, Dapeng Chen
doaj +1 more source
The energy impact of adaptive cruise control in real-world highway multiple-car-following scenarios
Background Surging acceptance of adaptive cruise control (ACC) across the globe is further escalating concerns over its energy impact. Two questions have directed much of this project: how to distinguish ACC driving behaviour from that of the human ...
Yinglong He +5 more
doaj +1 more source
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
Background Surging acceptance of adaptive cruise control (ACC) across the globe is further escalating concerns over its energy impact. Two questions have directed much of this project: how to distinguish ACC driving behaviour from that of the human ...
Michail Makridis +3 more
doaj +1 more source
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
Order parameter model for unstable multilane traffic flow
We discuss a phenomenological approach to the description of unstable vehicle motion on multilane highways that explains in a simple way the observed sequence of the phase transitions "free flow -> synchronized motion -> jam" as well as the hysteresis in
A. Zerr +17 more
core +1 more source
Explainable reinforcement learning for improved traffic signal control
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
In this paper, we study the stability of the stochastically heterogeneous traffic flow involving connected and automated vehicles (CAVs) and human-driven vehicles (HDVs).
Meiqi Liu, Yang Chen, Ruochen Hao
doaj +1 more source
Theoretical vs. Empirical Classification and Prediction of Congested Traffic States
Starting from the instability diagram of a traffic flow model, we derive conditions for the occurrence of congested traffic states, their appearance, their spreading in space and time, and the related increase in travel times.
Helbing, Dirk +3 more
core +2 more sources
Abstract Accurately assessing weaving area capacity is critical for optimizing traffic management. However, transportation agencies face a persistent challenge: Existing capacity models often inadequately characterize vehicle weaving behaviors and fail to quantify the interactions between influencing factors.
Jian Rong +4 more
wiley +1 more source

