0000000000699945

AUTHOR

Esubalew Alemneh

0000-0002-1970-3537

showing 3 related works from this author

PV-Alert: A fog-based architecture for safeguarding vulnerable road users

2017

International audience; High volumes of pedestrians, cyclists and other vulnerable road users (VRUs) have much higher casualty rates per mile; not surprising given their lack of protection from an accident. In order to alleviate the problem, sensing capabilities of smartphones can be used to detect, warn and safeguard these road users. In this research we propose an infrastructure-less fog-based architecture named PV-Alert (Pedestrian-Vehicle Alert) where fog nodes process delay sensitive data obtained from smartphones for alerting pedestrians and drivers before sending the data to the cloud for further analysis. Fog computing is considered in developing the architecture since it is an emer…

Computer science[SPI] Engineering Sciences [physics]Reliability (computer networking)mobile computingLatency (audio)traffic engineering computingCloud computing02 engineering and technologyFog ComputingComputer securitycomputer.software_genreroad vehicles[SPI]Engineering Sciences [physics]Low Latency0502 economics and businessPedestrian Safety0202 electrical engineering electronic engineering information engineeringWirelessComputer architectureArchitecturewireless LANEdge computing050210 logistics & transportationbusiness.industry05 social sciencesLocation awarenessroad traffic020206 networking & telecommunicationsVehiclesEdge computingsmart phonesVulnerable Road UsersRoadsroad accidentsCrowd sensingAccidentsScalabilitymobile radioSafetybusinessroad safetycomputer
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An Online Time Warping based Map Matching for Vulnerable Road Users’ Safety

2018

International audience; High penetration rate of Smartphones and their increased capabilities to sense, compute, store and communicate have made the devices vital components of intelligent transportation systems. However, their GPS positions accuracy remains insufficient for a lot of location-based applications especially traffic safety ones. In this paper, we developed a new algorithm which is able to improve smartphones GPS accuracy for vulnerable road users' traffic safety. It is a two-stage algorithm: in the first stage GPS readings obtained from smartphones are passed through Kalman filter to smooth deviated reading. Then an adaptive online time warping based map matching is applied to…

Dynamic time warpingSimilarity (geometry)010504 meteorology & atmospheric sciencesComputer science[SPI] Engineering Sciences [physics]Vulnerable Road Users SafetyTime series analysisMap matching01 natural sciencesGPS Accuracy[SPI]Engineering Sciences [physics]Smart phonesGlobal Positioning System11. Sustainability0502 economics and businessHeuristic algorithmsComputer visionTime seriesIntelligent transportation systemReal-time systems0105 earth and related environmental sciencesOnline Time Warping050210 logistics & transportationbusiness.industry05 social sciencesKalman filterMap MatchingRoadsGlobal Positioning SystemArtificial intelligenceSafetybusinessKalman Filter
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PV-Alert: Fog Computing based Architecture for Safeguarding Vulnerable Road Users

2018

High volumes of pedestrians, cyclists and other vulnerable road users (VRUs) have much higher casualty rates per mile; not surprising given their lack of protection from an accident. In order to alleviate the problem, sensing capabilities of smartphones can be used to detect, warn and safeguard these road users. In this research we propose an infrastructure-less fog-based architecture named PV-Alert (Pedestrian-Vehicle Alert) where fog nodes process delay sensitive data obtained from smartphones for alerting pedestrians and drivers before sending the data to the cloud for further analysis. Fog computing is considered in developing the architecture since it is an emerging paradigm that has p…

[SPI]Engineering Sciences [physics]Low LatencyCrowd sensing[SPI] Engineering Sciences [physics]Pedestrian SafetyFog ComputingComputingMilieux_MISCELLANEOUSulnerable Road Users
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