Forecasting Vehicle Maintenance Needs and Breakdowns using Predictive Maintenance

Improving road safety has a direct impact on the lives of drivers as well as the costs incurred by companies operating commercial vehicles. One important aspect of road safety is timely and effective vehicle maintenance. By forecasting vehicle maintenance needs and predicting breakdowns before they occur, valuable insights can be provided to drivers and fleet managers ahead of time. This information allows them to make informed decisions on when to perform vehicle maintenance and avoid accidents arising from unexpected vehicle breakdowns while on the road.

Research and Implementation of Data Quality Improvement Algorithms for Vehicle Streaming Data Analytics

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data from over 2 million connected vehicles we have an opportunity to make our customers safer, as well as our communities and cities. To reduce accidents, we need to understand both the driving behavioural patterns that are predictive of accidents, and the environmental factors involved.

Stream Data Analytics Pipeline Based on IoT Big Data Environment for Safer Fleets and Smart Cities

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental datafrom over 2 million connected vehicles we have an opportunity to make our customers safer, as well as ourcommunities and cities. To reduce accidents, we need to understand both the driving behavioural patterns thatare predictive of accidents, and the environmental factors involved.