Zobrazeno 1 - 10
of 2 625
pro vyhledávání: '"mixed traffic"'
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:
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:
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:
IET Intelligent Transport Systems, Vol 18, Iss 3, Pp 450-466 (2024)
Abstract Vehicular trajectory data collected by connected automated vehicles (CAVs) is minimal due to the low penetration rates (PRs) of CAVs, and fail to capture the characteristics of traffic flow. This study proposes a fully sampled trajectory rec
Externí odkaz:
https://doaj.org/article/657bc31dd6374258bd4f4b81d63f8d72
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
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
Autor:
Pouria Paymard, C. Santiago Morejon Garcia, Abolfazl Amiri, Claudio Rosa, Boyan Yanakiev, Troels E. Kolding, Klaus I. Pedersen
Publikováno v:
IEEE Access, Vol 12, Pp 118890-118902 (2024)
This paper presents an analysis of fifth-generation (5G)-Advanced uplink system-level performance with the coexistence of extended reality (XR) and enhanced mobile broadband (eMBB) traffic. Dense urban (DU) and indoor hotspot (InH) deployments are st
Externí odkaz:
https://doaj.org/article/25465d81bb6e492b965fcf53b0bffa68
Publikováno v:
IEEE Access, Vol 12, Pp 116368-116383 (2024)
The heterogeneity of vehicle types and their lane-free movement are the unique characteristics of mixed traffic conditions. Modelling and controlling such a traffic system is challenging. Towards this, to overcome the adverse effects of heterogeneity
Externí odkaz:
https://doaj.org/article/b2693640277e48de9f5b7a027909f4dd