Estimating driving behavior by a smartphone

Eren, Haluk; Makinist, Semiha; Akın, Erhan; Yilmaz, Alper

doi:10.1109/ivs.2012.6232298

Cited by 251 publications

(126 citation statements)

References 12 publications

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“…Sequential change-point detection scheme is used to time the arrival and phone's distance from the car's centre is estimated. This paper [8], provides some well-established techniques for driver's inattention monitoring and recent solutions for exploiting mobile technologies such as smart phone and wearable devices .It primary aim is safe driving and uses active systems for car-to-car communication to support vehicle ADHOC network VANET.…”

Section: Litrature Surveymentioning

confidence: 99%

A Survey Paper on Non Intrusive Texting While Driving Detection Using Smart Phone

2018

IJMTER

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Abstract-Many interesting systems on mobile phone are introduced to prevent the dangerous activity of texting while driving (T&D). However these systems require user's manual input to block the texting activity or some extra devices are used to identify user's location and also some localization techniques are used. Here the idea is to propose a method which is able to detect T&D without any user intervention. To implement this idea various smart phone embedded sensors such as gyroscopes, accelerometers and GPS are used. They are used to collect the information such as touch strokes, holding orientation and vehicle speed. Using these patterns the whether the T&D is existing or not identified.

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Section: Litrature Surveymentioning

confidence: 99%

A Survey Paper on Non Intrusive Texting While Driving Detection Using Smart Phone

2018

IJMTER

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“…Their intent is to use the system to support a holistic driver assistance system (DAS) by providing it with additional information. The system of Eren et al [31] also detects driving maneuvers, but incorporates another layer where a person's driving style is labeled as either safe or unsafe with a given probability. Fazeen et al [33] aims to implement an ADAS entirely on a smartphone.…”

Section: Driving Maneuver Recognition Versus Driving Behavior Classifmentioning

confidence: 99%

Survey of smartphone‐based sensing in vehicles for intelligent transportation system applications

Engelbrecht

Booysen

Rooyen

et al. 2015

IET Intelligent Transport Systems

155

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Road crashes are a growing concern of governments and is rising to become one of the leading preventable causes of death, especially in developing countries. The ubiquitous presence of smartphones provides a new platform on which to implement sensor networks and driver assistance systems, as well as other ITS applications. In this paper, existing approaches of using smartphones for ITS applications are analyzed and compared. Particular focus is placed on vehicle-based monitoring systems, such as driving behavior and style recognition, accident detection and road condition monitoring systems. Further opportunities for use of smartphones in ITS systems are highlighted, and remaining challenges in this emerging field of research are identified.

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“…A system to estimate a driver profile using smartphone sensors, able to detect risky driving patterns, is proposed in [17]. It was verified whether the driver behavior is safe or unsafe, using Bayesian classification.…”

Section: B Sustainable Drivingmentioning

confidence: 99%

Assessing Road Traffic Expression

Silva¹,

Analide²,

Nováis³

2014

IJIMAI

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-Road traffic is a problem which is increasing in cities with large population. Unrelated to this fact the number of portable and wearable devices has also been increasing throughout the population of most countries. With this advent, the capacity to monitor and register data about people habits and locations as well as more complex data such as intensity and strength of movements has created an opportunity to contribute to the general wealth and comfort within these environments. Ambient Intelligence and Intelligent Decision Making processes can benefit from the knowledge gathered by these devices to improve decisions on everyday tasks such as deciding navigation routes by car, bicycle or other means of transportation and avoiding route perils. The concept of computational sustainability may also be applied to this problem. Current applications in this area demonstrate the usefulness of real time system that inform the user of certain conditions in the surrounding area. On the other hand, the approach presented in this work aims to describe models and approaches to automatically identify current states of traffic inside cities and use methods from computer science to improve overall comfort and the sustainability of road traffic both with the user and the environment in mind. Such objective is delivered by analyzing real time contributions from those mobile ubiquitous devices to identifying problematic situations and areas under a defined criteria that have significant influence towards a sustainable use of the road transport infrastructure.

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Estimating driving behavior by a smartphone

Cited by 251 publications

References 12 publications

A Survey Paper on Non Intrusive Texting While Driving Detection Using Smart Phone

A Survey Paper on Non Intrusive Texting While Driving Detection Using Smart Phone

Survey of smartphone‐based sensing in vehicles for intelligent transportation system applications

Assessing Road Traffic Expression

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