Zobrazeno 1 - 10
of 1 079
pro vyhledávání: '"vehicle trajectory"'
Publikováno v:
Promet (Zagreb), Vol 36, Iss 4, Pp 673-689 (2024)
Weaving sections on roads are crucial areas with high concentrations of mandatory lane changes, which can increase the likelihood of traffic accidents. Speed is a key factor in determining traffic safety, and the development of an accurate speed pred
Externí odkaz:
https://doaj.org/article/4929b9c8ae5242e48282f69e1f50638f
Publikováno v:
Promet (Zagreb), Vol 36, Iss 4, Pp 639-653 (2024)
This study aims to quantitatively assess the adjustment effects of various visual guiding schemes on the abrupt change of vehicle trajectory. A driving simulation experiment was conducted using five simulated scenes: (1) baseline (actual situation),
Externí odkaz:
https://doaj.org/article/dab47e5c84bd41538b8f8cdfe470e2d5
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 100133- (2024)
Vehicle trajectory data have become essential for many research fields, such as traffic flow, traffic safety, and automated driving. To make trajectory data useable for researchers, an overview of the included road section and traffic situation as we
Externí odkaz:
https://doaj.org/article/b61491e032bd4a40b8065aece3b001a3
Publikováno v:
IEEE Access, Vol 12, Pp 106432-106446 (2024)
In the evolving landscape of mixed human-machine driving environments, autonomous vehicles (AVs) confront the challenge of anticipating the lane-changing intentions and subsequent driving trajectories of neighboring vehicles. This capability is essen
Externí odkaz:
https://doaj.org/article/a7f3f2d131a04a3db6a213bef9bb23d8
Publikováno v:
IEEE Access, Vol 12, Pp 1718-1726 (2024)
Accurate trajectory prediction for multiple vehicles in complex social interaction environments is essential for ensuring the safety of autonomous vehicles and improving the quality of their planning and control. The social interactions between vehic
Externí odkaz:
https://doaj.org/article/08d05925bcbe4cf3b04fa0b2bddd9fa6
Publikováno v:
Journal of Intelligent and Connected Vehicles, Vol 6, Iss 4, Pp 190-201 (2023)
Currently, traffic problems in urban road traffic environments remain severe, traffic pollution and congestion have not been effectively improved, and traffic accidents are still frequent. Traditional traffic signal control methods have little effect
Externí odkaz:
https://doaj.org/article/bf837c1a02f1454db4788a8ddf02bd21
Autor:
Ericsson Yong, Mohamad Heerwan Bin Peeie, Abdullah Bin Zulkifli, Muhammad Izhar Ishak, Mohd Zamri Bin Ibrahim, Muhammad Aizzat Bin Zakaria, Intan Suhana Binti Mohd Razelan, Ahmad Fakhri Bin Ab. Nasir, Zulhaidi Mohd Jawi
Publikováno v:
Automotive Experiences, Vol 7, Iss 1 (2024)
Two-thirds of vehicle accidents in Malaysia occurred at the straight type of roads, followed by intersection-type roads. Despite the deployment of traffic lights on the road, accidents still occur which are caused by illegal maneuvers, speeding or mi
Externí odkaz:
https://doaj.org/article/d003165b8cb24b7db23d5d0387881946
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3003 (2024)
For high-precision navigation, obtaining and maintaining high-precision point-of-interest (POI) data on the road network is crucial. In urban areas with complex terrains, the accuracy of traditional road network POI acquisition methods often falls sh
Externí odkaz:
https://doaj.org/article/a89d74929f6b418da9470275c87a499f
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 8, p 333 (2024)
The continuous increase in the penetration rate of autonomous vehicles in highway traffic flow has become an irreversible development trend; in this paper, a novel hybrid prediction model of deep sequence learning and an integrated decision tree is p
Externí odkaz:
https://doaj.org/article/92fdc4f641734d7d93e20f0910336f87