Zobrazeno 1 - 10
of 599
pro vyhledávání: '"driving risk"'
Publikováno v:
Multimodal Transportation, Vol 3, Iss 3, Pp 100139- (2024)
The main aim of this study was to propose a comprehensive risk indicator to identify the potential driving risk caused by the changing environment at tunnel entrance. Driving decisions are affected by many external factors, especially at the entrance
Externí odkaz:
https://doaj.org/article/cc2a5b35a7fe47688aa0b7b57cbe1d3e
Publikováno v:
Mathematics, Vol 12, Iss 22, p 3456 (2024)
Driving risk prediction is crucial for advanced driving technologies, with deep learning approaches leading the way in driving safety analysis. Current driving risk prediction methods typically establish a mapping between driving features and risk st
Externí odkaz:
https://doaj.org/article/cf10c5b5607046258c7231015e8bf05d
Publikováno v:
Actuators, Vol 13, Iss 10, p 380 (2024)
A dynamic LC trajectory planning algorithm based on the modified driving risk field is proposed to address the issue of dynamic changes during the lane-changing (LC) process. First, a modified driving risk field (MDRF) model is constructed for LC sce
Externí odkaz:
https://doaj.org/article/521cf81783ce43eb8dec553ed56ec631
Autor:
Miguel Ángel Martínez-Miranda, Yosuke Yamamoto, Shun Yasunaga, Tetsuo Kan, Carlos Alberto Espinoza-Garcés, Karla Nayeli Silva-Garcés, Christopher Rene Torres-SanMiguel
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7887 (2024)
This document provides a design description of a data acquisition device that allows an alert to be issued to suggest to the driver to take a break after having subjected his body to a certain amount of acceleration and pressure changes after driving
Externí odkaz:
https://doaj.org/article/145423ce148e439f97ce52d6170576fa
Publikováno v:
Journal of Traffic and Transportation Engineering (English ed. Online), Vol 10, Iss 4, Pp 560-577 (2023)
In order to understand the current research status and development direction of driving risk identification at home and abroad, relevant literatures in the field of driving risk identification from the China National Knowledge Infra-structure (CNKI)
Externí odkaz:
https://doaj.org/article/fc0b13ea42fe416291aa84e95de05d6c
Publikováno v:
Meitan xuebao, Vol 48, Iss 4, Pp 1782-1797 (2023)
Driving risk assessment and protection is the critical technology of unmanned transportation systems in open-pits. In order to warrant the safe operation of unmanned vehicles in open-pits, the Driving Security Model (DSM) based on the vehicle-road-cl
Externí odkaz:
https://doaj.org/article/1c74047d5b55400bb4f530a969174dc8
Publikováno v:
Mathematics, Vol 12, Iss 9, p 1363 (2024)
With the increasing demand for road traffic safety assessment, global concerns about road safety have been rising. This is particularly evident with the widespread adoption of V2X (Vehicle-to-Everything) technology, where people are more intensively
Externí odkaz:
https://doaj.org/article/0c4f4626ad2a45ec85cc5ef01dc2aa34
Autor:
Cinzia Carrodano
Publikováno v:
Heliyon, Vol 9, Iss 10, Pp e20685- (2023)
Road safety is a priority, worldwide. The European Commission aims to reduce fatalities by 2030. The same goal was set for the US. These goals stem from the World Health Organization's (WHO's) broader global context, which has distinctly emphasized a
Externí odkaz:
https://doaj.org/article/149823cc61ef4f2498648e3fb1c0c99d
Publikováno v:
IEEE Access, Vol 11, Pp 109953-109963 (2023)
Autonomous vehicle trajectory planning method based on the driving risk field is one of the current research hotspots. Currently, mainstream driving risk field models (DRFM) rarely consider basic factors such as vehicle geometry and heading angle, an
Externí odkaz:
https://doaj.org/article/9fe1ae467d2b4f6b808a5b5bb1dd5276
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