Devise Road Sign Alert Detection for Vehicular Systems Using Fog Computing

There are web mappings service applications like Google Maps, Apple Maps, and Waze that offer satellite imagery, street maps, real-time traffic conditions, departure arrival timings, and route planning for traveling by foot, car, bike, and public transportation. These applications enable users to view and hear traffic alerts, turn instructions, lane guidance, and available alternate route options. Road signs like speed breakers, sharp turns, accident-prone zone, steep slopes, etc. are placed beside or above streets to assist the drivers. These applications usually run on the display screen of the car or the commuter's mobile. The driver must keep an eye on the screen as well as on the road signs. At times the driver might miss the road sign due to high speed leading to a tense situation of varying severity. To overcome this problem, we propose an application in which the moving car is connected to a nearby Fog Node that stores road signs along with their proper location. Fog computing minimizes the amount of data transferred to the cloud, lowering bandwidth consumption and associated expenses.. Because the initial data processing occurs near the device, latency is reduced, and overall response time is improved. As the car moves closer to a road sign, The Fog Node evaluates the distance between the road sign and the car's geolocation. If the car is approaching a road sign, the Fog Node will generate an alert voice message. Fog Node being closer to the car will have minimum latency. Using Fog Computing we can send an early voice alert to a user within a certain time before he reaches the location. The solution proposed will provide timely alerts to users before reaching the road segment that requires the attention of the driver.