Vehicle on board platform: Communications test and prototyping

Hernández, Unai; Perallos, Asier; Sainz, Nekane; Angulo, Ignacio

doi:10.1109/ivs.2010.5548037

Cited by 11 publications

(8 citation statements)

References 12 publications

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“…When coupled with the ecodriving concept, it has gained great significance in recent years [4]. An example is the prototype of an onboard unit developed by Hernandez et al [5]. These driving techniques save fuel consumption, regardless of the technology used inside the vehicle.…”

Section: Related Workmentioning

confidence: 99%

Drivingstyles: a mobile platform for driving styles and fuel consumption characterization

Meseguer

Toh²,

Calafate³

et al. 2017

J. Commun. Netw.

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Intelligent Transportation Systems (ITS) rely on connected vehicle applications to address real-world problems. Research is currently being conducted to support safety, mobility and environmental applications. This paper presents the DrivingStyles architecture, which adopts data mining techniques and neural networks to analyze and generate a classification of driving styles and fuel consumption based on driver characterization. In particular, we have implemented an algorithm that is able to characterize the degree of aggressiveness of each driver. We have also developed a methodology to calculate, in real-time, the consumption and environmental impact of spark ignition and diesel vehicles from a set of variables obtained from the vehicle's Electronic Control Unit (ECU). In this paper, we demonstrate the impact of the driving style on fuel consumption, as well as its correlation with the greenhouse gas emissions generated by each vehicle. Overall, our platform is able to assist drivers in correcting their bad driving habits, while offering helpful tips to improve fuel economy and driving safety.

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Section: Related Workmentioning

confidence: 99%

Drivingstyles: a mobile platform for driving styles and fuel consumption characterization

Meseguer

Toh²,

Calafate³

et al. 2017

J. Commun. Netw.

View full text Add to dashboard Cite

show abstract

“…In [2], the authors present an automatic emergency alert system for two-wheeled vehicles that includes an accident detector inclination sensor and decision unit and a _______________________________________________________________________________________ system to inform third parties about historic data of speed, acceleration and braking. Hernandez et al [3] developed a prototype of an on-board unit that allows the driver to communicate with his vehicle, as well as with other available devices (PDAs, cellular, sensor networks, and so on and with the road infrastructure) in order to consume intelligent transport services. The work by Hampton C. Gabler [4] reports the research effort which search to dramatically reduce Emergency Medical Services response time by developing and testing an Automated Crash Notification System which automatically transmits the location and severity of a crash to EMS personnel.…”

Section: Literature Surveymentioning

confidence: 99%

Accident Detection and Notification System Using Android

Sushma¹

2015

IJRITCC

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Abstract-Now a day it is seen that there are number of vehicle and accident causing due to it is increasing day by day. Many people get injured and some of them even die due to unavailability of emergency facilities. The emergency responders take much long time to reach the spot which some time fail to save the lives. So to reduce this scenario there is need to decrease the time between the accidents occurre d and the emergency facility provided to them. With the help of android phone which will detect the accident through collision detection circuit and notification will be sent to the known people using GSM which can be already noted and alert to hospital system and police station with alert message along with the link of map using GPS which will address the exact place of accident.

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“…Hernandez et al [31] created an automotive embedded system which allows communication from the mobile device to the car and to the VANET in order to use ITS. They prototyped an OBU that connected to the OBD, so it can collect data related to the vehicle.…”

Section: Mobile Device Use On Vanetsmentioning

confidence: 99%

VANESS: DNS for Nomadic Users in Vehicular Networks

Santos

Sargento

Fernandes

2015

Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

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Vehicular networks, also known as VANETs, are an ad-hoc network formed by vehicles and roadside units. Nowadays they have been attracting big interest both from researchers as from the automotive industry. With the upcoming of automotive specific operating systems and self-driving cars, the use of applications on vehicles and the integration with common mobile devices is becoming a big part of VANETs. Although many advances have been made on this field, there is still a big discrepancy between the communication layer services provided by VANETs and the user level services, namely those accessible through mobile applications on other networks and technologies. Users and developers are accustomed to user-to-user or user-tobusiness communication without explicit concerns related with the available communication transport layer. Such is not possible in VANETs since people may use more than one vehicle. However, to send a message to a specific user in these networks, there is a need to know the ID of the vehicle where the user is, meaning that there is a lack of services that map each individual user to VANETs endpoint (vehicle identification). This dissertation work proposes VANESS, a naming service as a resource to support user-to-user communication within a heterogeneous scenario comprising typical ISP scenario and VANETs focused on mobile devices. The proposed system is able to map the user to an end point either locally (i.e. there is not internet connection at all), online (i.e. system is not in a vehicular network but has direct internet connection) and using a gateway (i.e. the system is in a vehicular network where some of the nodes have internet access and will act as a gateway). VANESS was fully implemented on android OS with results proving his viability, and partially on iOS showing its multiplatform capabilities.

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Vehicle on board platform: Communications test and prototyping

Cited by 11 publications

References 12 publications

Drivingstyles: a mobile platform for driving styles and fuel consumption characterization

Drivingstyles: a mobile platform for driving styles and fuel consumption characterization

Accident Detection and Notification System Using Android

VANESS: DNS for Nomadic Users in Vehicular Networks

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