Enhancing the value of commercial vehicle telematics data through analytics and optimisation techniques

Telematics data has been mainly used to track the historical and live locations of vehicles. Recently, with more data available and better telecommunication technologies, fleet managers are able to investigate the root cause of faults, problems or events such as breakdown and incident. With recent development in cloud computing power, advanced analytics and optimisation techniques, fleet telematics can move to the next level, where future events can be predicted and systems can schedule maintenance to avoid breakdowns. Risk of accidents can also be raised and advance warnings given. In this paper, the evolution and current state of analytics and optimisation techniques and models in the area of telematics have been reviewed. Later, the key components, challenges and opportunities of applications of analytics in fleet telematics have been discussed.