نتایج جستجو برای: car following

تعداد نتایج: 710489  

2017
Sung Ho Jang Hyeok Gyu Kwon

RATIONALE We report on a patient with injury of the cortico-ponto-cerebellar tract (CPCT) following mild traumatic brain injury (TBI), diagnosed by diffusion tensor tractography (DTT). PATIENT CONCERNS A 53-year-old female patient was injured in a car crash. While under treatment at a local medical center for headache, mild motor weakness, and cognitive impairment that developed following the...

2009
Lien-Wu Chen Kun-Ze Syue Yu-Chee Tseng

The Vehicular Surveillance and Sensing System (VS) is a 3G-based mobile device for car security applications. On the car side, it consists of a CO2 sensor, a camera module, a 3G module, and a microprocessor. On the user side, only a 3G mobile phone is needed. VS provides the following features: (i) it can be triggered by events detected on car, (ii) events can be abnormal air quality or potenti...

2017
Rafał Badacz Anna Kabłak-Ziembicka Małgorzata Urbańczyk-Zawadzka Robert P. Banyś Piotr Musiałek Piotr Odrowąż-Pieniążek Mariusz Trystuła Jan Ścigalski Krzysztof Żmudka Tadeusz Przewłocki

INTRODUCTION About 30% of patients with carotid artery stenosis (CAS) develop dementia after a cerebral ischemic event (CIE), and 20-50% suffer from CIE recurrence during 6 months. Carotid artery revascularization (CAR) may prevent CIE recurrence, at the cost of new microembolic lesions (MES). The impact of CAR on cognitive function is debatable. AIM To assess functional and cognitive outcome...

Journal: :Physica A: Statistical Mechanics and its Applications 2015

Journal: :Transportation Research Part C: Emerging Technologies 2019

Journal: :Mathematical Problems in Engineering 2014

Journal: :Transportation Research Part C-emerging Technologies 2021

Car-following behavior has been extensively studied using physics-based models, such as Intelligent Driving Model (IDM). These models successfully interpret traffic phenomena observed in the real world but may not fully capture complex cognitive process of driving. Deep learning on other hand, have demonstrated their power capturing require a large amount driving data to train. This paper aims ...

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