Results 31 to 40 of about 586,058 (292)

Traffic control algorithms for mixed vehicle traffic – A simulation-based investigation

open access: yesTransportation Research Procedia, 2021
Abstract A library of software tools, that implements various motorway traffic control algorithms in a generic way for any network topology given by the user, has been developed and integrated with the advanced simulation environment VSimRTI. The control algorithms have been thoroughly assessed via comprehensive simulation investigations involving a ...
Markantonakis, Vasileios   +6 more
openaire   +1 more source

Influence of an Automated Vehicle with Predictive Longitudinal Control on Mixed Urban Traffic Using SUMO

open access: yesWorld Electric Vehicle Journal
In this paper, an approach to quantify the area of influence of an intelligent longitudinally controlled autonomous vehicle in an urban, mixed-traffic environment is proposed.
Paul Heckelmann, Stephan Rinderknecht
doaj   +1 more source

Effects of Marking Automated Vehicles on Human Drivers on Highways

open access: yesInformation, 2020
Due to the short range of the sensor technology used in automated vehicles, we assume that the implemented driving strategies may initially differ from those of human drivers.
Tanja Fuest   +3 more
doaj   +1 more source

Optimal Control Design for Traffic Flow Maximization Based on Data-Driven Modeling Method

open access: yesEnergies, 2021
This paper proposes enhanced prediction and control design methods for improving traffic flow with human-driven and automated vehicles. To achieve accurate prediction for the entire time horizon, data-driven and model-based prediction methods were ...
Balázs Németh   +3 more
doaj   +1 more source

A vehicle-to-infrastructure communication based algorithm for urban traffic control [PDF]

open access: yes, 2017
We present in this paper a new algorithm for urban traffic light control with mixed traffic (communicating and non communicating vehicles) and mixed infrastructure (equipped and unequipped junctions).
Farhi, Nadir   +3 more
core   +2 more sources

Mixed FBM-traffic hypothesis

open access: yesHerald of Tver State University. Series: Applied Mathematics, 2020
В данной статье предлагается алгоритм проверки гипотезы о наличии в трафике двух независимых компонент, описываемых фрактальными броуновскими движениями с разными параметрами Хёрста H. Тестовая статистика основана на сумме по частоте и масштабу логарифмов модулей вейвлет-коэффициентов и имеет в пределе нормальное распределение при нулевой ...
openaire   +2 more sources

Generating Comfortable, Safe and Comprehensible Trajectories for Automated Vehicles in Mixed Traffic

open access: yes, 2018
While motion planning approaches for automated driving often focus on safety and mathematical optimality with respect to technical parameters, they barely consider convenience, perceived safety for the passenger and comprehensibility for other traffic ...
Lauer, Martin   +2 more
core   +1 more source

Mixed Reality in Traffic Scenes [PDF]

open access: yes, 2003
Our research group, interested in outdoor scenes, has developed a methodology to register a CAD model of a city, with images taken with video cameras installed in a car, while driving city streets. So, we can merge video captured data and the render of elements of the model into one image, forcing real and virtual camera points of view, orientations ...
A. B. Martínez   +3 more
openaire   +1 more source

A Proactive Collision Avoidance Model for Connected and Autonomous Vehicles in Mixed Traffic Flow

open access: yesWorld Electric Vehicle Journal
Collision avoidance between vehicles is a great challenge, especially in the context of mixed driving of connected and autonomous vehicles (CAVs) and human-driven vehicles (HVs).
Guojing Hu   +5 more
doaj   +1 more source

Intelligent Intersection Management Systems Considering Autonomous Vehicles: A Systematic Literature Review

open access: yesIEEE Access, 2019
Over the past several decades, the development of technologies and the production of autonomous vehicles have enhanced the need for intelligent intersection management systems.
Elnaz Namazi, Jingyue Li, Chaoru Lu
doaj   +1 more source

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