Results 61 to 70 of about 206,344 (279)

Trajectory Planning Method for Mixed Vehicles Considering Traffic Stability and Fuel Consumption at the Signalized Intersection

open access: yesJournal of Advanced Transportation, 2020
Traffic lights force vehicles to stop frequently at signalized intersections, which leads to excessive fuel consumption, higher emissions, and travel delays.
Shan Fang   +3 more
doaj   +1 more source

Integrating the Intelligent Driver Model With the Action Point Paradigm to Enhance the Performance of Autonomous Driving

open access: yesIEEE Access, 2020
Autonomous driving is designed to enhance the overall performance of vehicular traffic. The primary objective of this study is to develop an improved car-following model for adaptive cruise control (ACC) by integrating conventional automated logic with ...
Haifei Yang   +3 more
doaj   +1 more source

What drives the Acceptability of Intelligent Speed Assistance (ISA)? Modeling acceptability of ISA [PDF]

open access: yes, 2011
6370 individuals responded in Belgium (Flanders region) and 1158 persons in The Netherlands on a web-survey about ISA. A model has been estimated, by using SEM, to find out which predefined indicators would be relevant to define the acceptability of ISA.
Allaert, Georges   +6 more
core  

Could Intelligent Speed Adaptation make overtaking unsafe?

open access: yes, 2012
This driving simulator study investigated how mandatory and voluntary ISA might affect a driver's overtaking decisions on rural roads, by presenting drivers with a variety of overtaking scenarios designed to evaluate both the frequency and safety of the ...
Carsten, O, Chorlton, K, Jamson, S
core   +1 more source

Implementing the Intelligent Driver Model in a physical vehicle simulator

open access: yesGradus, 2021
The Intelligent Driver Model was introduced in 2000 by M. Treiber et al. as a mathematical car following model for traffic micro- simulation. It is an obvious question whether this model is applicable in physical vehicle simulator, which would be a big step forward a real application. Of course, it is also essential that the model can be applied to the
openaire   +2 more sources

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

open access: yesMolecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee   +8 more
wiley   +1 more source

Security of drivers in intelligent transportation systems: privacy-preserving federated transfer learning for driver drowsiness detection

open access: yesFrontiers in Computer Science
Driver drowsiness is a serious concern for road safety within intelligent transportation systems, and it can undermine the safety and dependability of critical transport infrastructure.
Khubab Ahmad   +2 more
doaj   +1 more source

Identifying suitable car-following models to simulate automated vehicles on highways

open access: yesInternational Journal of Transportation Science and Technology, 2023
This study addresses car-following models that are currently used for simulating AV and CAV. Diverse car-following models, Intelligent Driver Model (IDM), Improved IDM (IIDM), IIDM with Constant-Acceleration Heuristic (CAH), and MIcroscopic model for ...
Bumsik Kim, Kevin P. Heaslip
doaj   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Deep Learning Model for Driver Behavior Detection in Cyber-Physical System-Based Intelligent Transport Systems

open access: yesIEEE Access
As Intelligent Transport Systems (ITS) continue to evolve, the quest for improving road safety and transportation efficiency has gained renewed emphasis.
Brij B. Gupta   +3 more
doaj   +1 more source

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