Zobrazeno 1 - 10
of 314
pro vyhledávání: '"Bart van Arem"'
Autor:
Shiva Nischal Lingam, Joost De Winter, Yongqi Dong, Anastasia Tsapi, Bart Van Arem, Haneen Farah
Publikováno v:
European Journal of Transport and Infrastructure Research, Vol 24, Iss 2, Pp 1-24 (2024)
Automated vehicles (AVs) may require the implementation of an external human-machine interface (eHMI) to communicate their intentions to human-driven vehicles. The optimal placement of the eHMI, either on the AV itself or as part of the road infrastr
Externí odkaz:
https://doaj.org/article/7260b48a968c40e1baa4d41831c5c64e
Autor:
Eleonora Papadimitriou, Omiros Athanasiadis, Gerdien Klunder, Simeon Calvert, Lin Xiao, Bart van Arem
Publikováno v:
Traffic Safety Research, Vol 6 (2024)
Automated Driving Systems (ADS) are aimed to improve traffic efficiency and safety, however these systems are not yet capable of handling all driving tasks in all types of road conditions. The role of a human driver remains crucial in taking over con
Externí odkaz:
https://doaj.org/article/9093f2674cb94640a16f4d1f790a6be0
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 251-264 (2024)
A substantial number of vehicles nowadays are equipped with adaptive cruise control (ACC), which adjusts the vehicle speed automatically. However, experiments have found that commercial ACC systems which only detect the direct leader amplify the prop
Externí odkaz:
https://doaj.org/article/81f4252d1a5b45c8a1aa7d9d8aaa5a89
Publikováno v:
Infrastructures, Vol 9, Iss 1, p 12 (2024)
Once trusted, automated vehicles (AVs) will gradually appear in urban areas. Such a transition is an opportunity in transport planning to control undesired impacts and possibly mitigate congestion at a time when both conventional vehicles (CVs) and A
Externí odkaz:
https://doaj.org/article/152c95b5cf6e4fbfa8b3e216ce79f440
Publikováno v:
Communications in Transportation Research, Vol 2, Iss , Pp 100077- (2022)
Externí odkaz:
https://doaj.org/article/7e602c99ff284dbd9756c8c91b26684a
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 2, Pp 322-337 (2021)
Driverless shuttles are a new automated road-based means of transport, small in size and capacity and with a relatively low operational speed. Classified as high-automation vehicles, these shuttles are capable of driverless operations in specific ope
Externí odkaz:
https://doaj.org/article/9745d94fa9bf4fb5865ba81aab883214
Publikováno v:
European Transport Research Review, Vol 12, Iss 1, Pp 1-11 (2020)
Abstract New forms of shared mobility such as free-floating car-sharing services and shared automated vehicles have the potential to change urban travel behaviour. In this paper, we identify potential user classes for these new modes. For this, a sta
Externí odkaz:
https://doaj.org/article/e4fa823620c4483b8d3a2d44c4a4a9ca
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 1, Pp 187-200 (2020)
Existing microscopic traffic models represent the lane-changing maneuver as a continuous and uninterrupted lateral movement of the vehicle from its original to the target lane. We term this representation as Continuous Lane-Changing (CLC). Recent emp
Externí odkaz:
https://doaj.org/article/3304596238e244ac8a64a259c8213ebd
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 1, Pp 237-252 (2020)
There is a pressing need for road authorities to take a proactive role in the deployment of automated vehicles on the existing road network. This requires a comprehensive understanding of the driving environment characteristics that affect the perfor
Externí odkaz:
https://doaj.org/article/39deef64f6334efe8584447945dc9a0d
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 1, Pp 93-108 (2020)
Traffic congestion is a major societal challenge. By advising drivers on the optimal lane to drive, traffic flow can be improved, and congestion reduced. In this paper we describe the development of a lane-specific advice Human Machine Interface (HMI
Externí odkaz:
https://doaj.org/article/634c0a6d4f41453fba907a106e2d7c57