Zobrazeno 1 - 10
of 2 695
pro vyhledávání: '"Mixed Traffic"'
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 12, Pp 2660-2677 (2024)
Abstract This study aims to introduce a new strategy for anticipating the behaviour of human‐driven vehicles (HDVs) and designing trajectories for connected and automated vehicles (CAVs) at signalized intersections under mixed traffic scenarios. To
Externí odkaz:
https://doaj.org/article/c1e8a9af87a248d184a4ba134b56c585
Autor:
Huthaifa I. Ashqar, Mahmoud Obaid, Ahmed Jaber, Rashed Ashqar, Nour O. Khanfar, Mohammed Elhenawy
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-15 (2024)
Abstract This study is a significant endeavor involving the development and testing of a comprehensive methodology to incorporate driving behavior into the analysis and prediction of vehicle fuel consumption. It underscores the crucial importance of
Externí odkaz:
https://doaj.org/article/ff53d3d1b37b4c77a7ac57a73e420ca6
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 9, Pp 1616-1631 (2024)
Abstract The fundamental diagram (FD) of traffic flow can effectively characterize the macroscopic characteristics of traffic flow and provide a theoretical foundation for traffic planning and control. The rapid development of connected vehicles (CVs
Externí odkaz:
https://doaj.org/article/c82c1a44e4264dcd9a6a08cf027ef312
Publikováno v:
Future Transportation, Vol 4, Iss 3, Pp 1059-1077 (2024)
The transition of the vehicle fleet to incorporate AV will be a long and complex process. AVs will gradually form a larger and larger share of the fleet mix, offering opportunities and challenges for improved efficiency and safety. At any given point
Externí odkaz:
https://doaj.org/article/6f592ee6d10846dcb5adc66356a794af
Autor:
Debashis Ray Sarkar, Parveen Kumar
Publikováno v:
IATSS Research, Vol 48, Iss 2, Pp 180-188 (2024)
Modelling traffic characteristics is the foundation for resolving various traffic and transportation issues. Among them, traffic speed has a significant impact on roadway crashes at blackspot (BS) locations. Speed is a random variable; several studie
Externí odkaz:
https://doaj.org/article/88b11d8b46cd4167b053dab826f90070
Publikováno v:
Communications in Transportation Research, Vol 4, Iss , Pp 100142- (2024)
Model-based reinforcement learning (RL) is anticipated to exhibit higher sample efficiency than model-free RL by utilizing a virtual environment model. However, obtaining sufficiently accurate representations of environmental dynamics is challenging
Externí odkaz:
https://doaj.org/article/20280a23cd224a33b20e0d8bcd020bc8
Publikováno v:
Communications in Transportation Research, Vol 4, Iss , Pp 100127- (2024)
Despite significant progress in autonomous vehicles (AVs), the development of driving policies that ensure both the safety of AVs and traffic flow efficiency has not yet been fully explored. In this paper, we propose an enhanced human-in-the-loop rei
Externí odkaz:
https://doaj.org/article/6ab9e10f572e4651924ee07517886510
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35664- (2024)
Regardless of the rational benefits of autonomous vehicle adoption towards mitigating mobility goals in urban and sub-urban areas of middle-income countries, adoption of such technology remains thought-provoking. Two wheeled vehicles are often utiliz
Externí odkaz:
https://doaj.org/article/79d2f14c77414e42849b251cde47bb25
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Introduction: The rise of autonomous vehicles has brought about a transformative shift in transportation, witnessing the coexistence of human-driven and autonomous vehicles on highways in the United States, Europe, and China. This coexistence poses c
Externí odkaz:
https://doaj.org/article/3d5ab7952b714761a3a736a8546d3733