
Speeding has been identified as the riskiest kind of aggressive driving as well as a strong predictor of crashes, according to new telematics-based research.
Data from 28 million trips was examinded for possible links between four bad driving behaviors – speeding, hard braking, hard acceleration and hard cornering – and the likelihood of crashes.
The use of telematics data could “revolutionize” the insurance industry by enabling fairer, personalised premiums based on actual driving behavior, not age, gender or location.
Read the article at International Fleet World.
The post Telematics-Based Research Finds Speeding Best Predictor of Crashes appeared first on Fleet Management Weekly.
from Fleet Management Weekly https://ift.tt/2L85Vk5



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