Real-Time Rider Assistance and Vehicle Monitoring via IoT-Based Smart Motorcycle Dashboards

Smart clusters of motorcycles with Internet of Things (IoT) components are ready to change the motorcyclist experience by including advanced IoT technology that improves drivers, vehicle performance and general operational efficiency. The system uses many IoT elements such as sensors, GPS modules, and communication devices to provide real-time with key metrics such as speed, fuel efficiency, braking performance, and environmental conditions. With the persistent tracking of these variables, the system provides immediate performance feedback, allowing drivers to improve their driving skills and minimize fuel consumption. Additionally, integrating other vehicles will improve traffic safety. The navigation functions included in the actual traffic update support the driver when dealing with overloaded areas and selection of safest routes. The Bike Mode feature allows the driver to switch between a variety of predefined riding modes, including: B. Eco mode with high fuel efficiency and performance-oriented sports mode. This has adapted the system to a variety of operating conditions. If the motorcycle is working, traffic safety is given priority by sending a preset message to incoming callers. Additionally, the system's accident awareness and emergency capabilities ensure that drivers are supported immediately in the event of a crash. Overall, the intelligent cluster for motorcycles with IoT components provides an overall approach to improving driver safety, optimizing vehicle performance, and promoting the development of intelligent and interconnected motorcycles.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-13
DOI
https://doi.org/10.52783/jisem.v10i35s.6293
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Real-Time Rider Assistance and Vehicle Monitoring via IoT-Based Smart Motorcycle Dashboards

Varsha D. Jadhav
Journal of Information Systems Engineering & Management
Autonomous Vehicle Technology and Safety
article

Real-Time Rider Assistance and Vehicle Monitoring via IoT-Based Smart Motorcycle Dashboards

Varsha D. Jadhav
article en

Abstract

Smart clusters of motorcycles with Internet of Things (IoT) components are ready to change the motorcyclist experience by including advanced IoT technology that improves drivers, vehicle performance and general operational efficiency. The system uses many IoT elements such as sensors, GPS modules, and communication devices to provide real-time with key metrics such as speed, fuel efficiency, braking performance, and environmental conditions. With the persistent tracking of these variables, the system provides immediate performance feedback, allowing drivers to improve their driving skills and minimize fuel consumption. Additionally, integrating other vehicles will improve traffic safety. The navigation functions included in the actual traffic update support the driver when dealing with overloaded areas and selection of safest routes. The Bike Mode feature allows the driver to switch between a variety of predefined riding modes, including: B. Eco mode with high fuel efficiency and performance-oriented sports mode. This has adapted the system to a variety of operating conditions. If the motorcycle is working, traffic safety is given priority by sending a preset message to incoming callers. Additionally, the system's accident awareness and emergency capabilities ensure that drivers are supported immediately in the event of a crash. Overall, the intelligent cluster for motorcycles with IoT components provides an overall approach to improving driver safety, optimizing vehicle performance, and promoting the development of intelligent and interconnected motorcycles.

Journal of Information Systems Engineering & ManagementVol. 10(35s)
Openalex Percentile: Top 92%
Autonomous Vehicle Technology and Safety
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