The connected motorcycles have a highly advanced system that facilitates the reading of the road and send alerts for potholes, road curves, construction, traffic, and other obstacles to the rider. These motorcycles offer improved safety by preventing road accidents. The connected motorcycles keep riders informed about emergency braking systems, approaching vehicles, and other gives other alerts.

Connected motorcycles give early warning to the rider about the forthcoming danger. This technology used in connected motorcycles is IoT-enabled. It is highly effective in preventing road accidents.

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Applications of Connected Motorcycles

Motorcycle Approach Indication (MAI)

This application alerts the rider of a nearby approaching vehicle towards him, whether the rider can see it or not. The information is provided to the rider, relying on the movement data, and measured distance between two vehicles with a possibility of motorcycle crossing.

Motorcycle Approach Warning (MAW)

This application warns the rider about the potential risk of colliding with the vehicle coming from the opposite side. This application is more refined, as it provides vehicles’ precise movement information, and analyses of collision risk. This system provides accurate calculation and warns the rider only when there is a collision possibility.

Left Turn Assist (LTA)

The left turn assist system determines if the rider evaluates the speed incorrectly, or ignores the approaching vehicle. The application evaluates the left turn intention and displays the warning on calculating the accident risk. Moreover, the LTA system keeps working at traffic lights too.

Emergency Electronic Brake Light (EEBL)

The EEBL application provides a motorcycle with the ability to program its own emergency braking state with respect to the surrounding vehicles. It includes bad weather conditions such as fog or rain, including blocked sight by other vehicles.

Traffic Jam Warning (TJW)

The TJW system alerts the riders of traffic jams on the way. The rider can choose a different route after knowing about the traffic jam earlier and hence saving time. This application helps in avoiding rear-end collisions.