Cloud-based driver monitoring and vehicle diagnostic with OBD2 telematics

Amarasinghe, Malintha; Kottegoda, Sasikala; Arachchi, Asiri Liyana; Muramudalige, Shashika R.; Bandara, H. M. N. Dilum; Azeez, Afkham

doi:10.1109/icter.2015.7377695

Cited by 30 publications

(8 citation statements)

References 6 publications

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“…a) Fault prediction and response: Fault prediction and response services include diagnostics, prognostics, and driver-aware technologies. Example applications may extend OBD to predict remaining component life based on physical or machine-learned models and trends from aggregated vehicle data [17], [57], [110]. b) Data collection and generation: Information Generation applications create data useful for shared decision making, digital mapping, collision avoidance, and path prediction to allow driving behavior optimization [111].…”

Section: B V2v and V2i Applicationsmentioning

confidence: 99%

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

Siegel

Erb

Sarma

2018

IEEE Trans. Intell. Transport. Syst.

352

176

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This paper summarizes the state of the art in connected vehicles-from the need for vehicle data and applications thereof, to enabling technologies, challenges, and identified opportunities. Connectivity is increasing around the world and its expansion to vehicles is no exception. With improvements in connectivity, sensing, and computation, the future will see vehicles used as development platforms capable of generating rich data, acting based on inference, and effecting great change in transportation, the human-vehicle dynamic, the environment, and the economy. Connected vehicle technologies have already been used to improve fleet safety and efficiency, with emerging technologies additionally allowing data to be used to inform aspects of vehicle design, ownership, and use. While the demand for connected vehicles and its enabling technology has progressed significantly in recent years, there remain challenges to connected and collaborative vehicle application deployment before the full potential of connected cars may be realized. From extensibility and scalability to privacy and security, this paper informs the reader about key enabling technologies, opportunities, and challenges in the connected vehicle landscape.

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Section: B V2v and V2i Applicationsmentioning

confidence: 99%

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

Siegel

Erb

Sarma

2018

IEEE Trans. Intell. Transport. Syst.

352

176

View full text Add to dashboard Cite

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“…A combination of GNSS and IMU data was used in [3] to detect dangerous cornering events. A study [25] solely used OBD-II data to detect reckless driving behaviour and vehicle anomalies. A similar study [26] used speed, acceleration, and engine RPM as parameters for driving behaviour detection.…”

Section: Journal Of Sensorsmentioning

confidence: 99%

Design and Development of Weigh-In-Motion Using Vehicular Telematics

Kirushanth

Kabaso

2020

Journal of Sensors

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Identifying overloaded vehicles on a highway is essential for the safety of vehicles on the road as well as for the performance monitoring of highway infrastructure and planning. Traffic enforcement uses various weigh-in-motion (WIM) methods. Since Vehicular Telematics (VT) is favoured in the transport industry, using it for building a new WIM system to infer the payload of a vehicle at any road segment would be beneficial for the transport industry. This paper presents the effort taken to use VT data from onboard diagnostics modules and smartphones to infer the payload of a vehicle. The experiment done to find the correlation between VT data and the payload of a vehicle is discussed. Feature engineering was done; nine different settings were tested to find the best regression model. A multiple nonlinear regression model produced significant a p value of 6.322e-08 and an R-squared value of 0.8736. Results support the notion of using the VT data for nonintrusive measurement of the weight of a vehicle in motion.

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“…Electronics in current vehicles are responsible for executing pre-programmed and specific functions, based on input data Meneguette and Boukerche (2017); Amarasinghe et al (2015). These data are generated from several sensors and then transmitted to the electronic control units, enabling the management and guaranteeing the good operation of the vehicle, as well as the safety of the users Li et al (2016); Zhang et al (2017).…”

Section: Introductionmentioning

confidence: 99%