Zobrazeno 1 - 10
of 446
pro vyhledávání: '"intersection management"'
Autor:
Ilhan Tunc, Atakan Yasin Yesilyurt, Zeynep Gumus, Koralp Sert, Ali Osman Koroglu, Mehmet Turan Soylemez
Publikováno v:
Alexandria Engineering Journal, Vol 88, Iss , Pp 36-44 (2024)
Traffic intersections act as pivotal junctions where various streams of traffic intersect and intersecting movements occur. When traffic volumes are high, intersections that are efficiently designed and equipped with intelligent traffic control syste
Externí odkaz:
https://doaj.org/article/7a8453af91564876b4d059d83b4b56ca
Publikováno v:
IEEE Access, Vol 12, Pp 104052-104070 (2024)
We consider the problem of optimal unsignalized intersection management, wherein we seek to obtain safe and optimal trajectories, for a set of robots that arrive randomly and continually. This problem involves repeatedly solving a mixed integer progr
Externí odkaz:
https://doaj.org/article/cb4cf7a5d3d34218a41c779420c1ac7d
Autor:
Ashkan Gholamhosseinian, Jochen Seitz
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 230-243 (2024)
This paper introduces a novel centralized autonomous inclusive intersection management mechanism (CAI2M2) for heterogeneous connected vehicles (HCVs). The system embraces a diverse array of human-driven vehicles, each possessing unique characteristic
Externí odkaz:
https://doaj.org/article/3b2e2a4d0bd04970b3dfa12924f8a0a6
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 146-159 (2024)
A collaborative centralized model predictive controller solving the problem of autonomous vehicles safely crossing an intersection is presented. The solution gives optimal speed trajectories for each vehicle while considering collision avoidance cons
Externí odkaz:
https://doaj.org/article/f3175b92f9ae413abec641859b5ecc04
Publikováno v:
Sensors, Vol 24, Iss 16, p 5187 (2024)
The centralized coordination of Connected and Automated Vehicles (CAVs) at unsignalized intersections aims to enhance traffic efficiency, driving safety, and passenger comfort. Autonomous Intersection Management (AIM) systems introduce a novel approa
Externí odkaz:
https://doaj.org/article/bb2e399832fc4dc4a71bf34af1cd9d07
Publikováno v:
IEEE Access, Vol 11, Pp 64928-64940 (2023)
In urban road transportation, intersections are traffic bottlenecks with increased waiting delays and associated adverse effects. A recently proposed intelligent intersection management (IIM) approach, the Synchronous Intersection Management Protocol
Externí odkaz:
https://doaj.org/article/507ee7edab2b4c4ba892559ce8c5c671
Autor:
Vitale, Francesco, Roncoli, Claudio
Intelligent transport systems are preparing to welcome connected and automated vehicles (CAVs), although it is uncertain which algorithms should be employed for the effective and efficient management of CAV systems. Even though remarkable improvement
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A85975
https://tud.qucosa.de/api/qucosa%3A85975/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A85975/attachment/ATT-0/
A Route Planning and Traffic Control Model for Autonomous Intersections by Minimizing Conflict Zones
Publikováno v:
IEEE Access, Vol 11, Pp 113678-113693 (2023)
Most existing studies on autonomous intersection management (AIM) primarily focus on modeling and resolving conflicts between vehicles within an intersection, assuming predetermined routes of the autonomous vehicles (AVs) as exogenous inputs. Additio
Externí odkaz:
https://doaj.org/article/fd6358d96d444242ad5ca778ffe05d43
Publikováno v:
Vehicles, Vol 4, Iss 4, Pp 1391-1412 (2022)
With increasing urban population, there are more and more vehicles, causing traffic congestion. In order to solve this problem, the development of an efficient and fair intersection management system is an important issue. With the development of int
Externí odkaz:
https://doaj.org/article/eb8602a29f35484ebbd6bc80664cfe8e
Autor:
Filippo Muzzini, Manuela Montangero
Publikováno v:
Sensors, Vol 24, Iss 7, p 2036 (2024)
IoT (Internet-of-Things)-powered devices can be exploited to connect vehicles to smart city infrastructure, allowing vehicles to share their intentions while retrieving contextual information about diverse aspects of urban viability. In this paper, w
Externí odkaz:
https://doaj.org/article/3782b55482d041fb92e3bd4242a38666