2017 · 13 citations · 6 references
ComputingCloud ComputingInformation TechnologyBig Data AnalyticsMobile ComputingTransportationIntelligent Transportation SystemsMobile Cloud ComputingMobile SensingMobile Sensor IntegrationRoad SafetyTraffic SafetyDriver-vehicle InteractionInference From Smartphone SensorsMobile CrowdsensingRoad Hazard DetectionRoad Network MonitoringSensor Data AnalyticsSensor Data IntegrationSensor Data Management
In this paper, we propose Crowd-Sourcing based Android Application to detect damaged roads and generate a report which will assist the vehicle driver for safer driving by providing an early warning system to warn the driver of any abrupt discontinuities on the road. We have designed and implemented a model using layered approach that consists of sensor data collected from the users, cloud based data analytics and a response model for the mobile which is integrated with Google Maps. This paper discusses about the review for previous works in the related domain, our proposed architecture, its implementation, obtained results and its detailed inference.
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