Machine learning to help predict traffic offenders soon

Traffic offenders beware, in the near future, machine learning models will be able to predict which vehicle is more likely to commit a traffic offence.The models will leverage large sets of data, which the intelligent machine will be able to crunch and analyse, according to researchers at the IIIT Hyderabad.The Institute has in an analysis of traffic offences for the city of Ahmedabad, Gujarat has found that traffic offenders with more number of e-challans were less likely to pay fines. Another trend was that payment of smaller fines are preferred over larger ones.A whopping Rs 59,24,30,400 crore is still outstanding to the government as on August 22, 2019.To study the traffic transgression trends, the IIIT team segregated the number of paid versus unpaid challans from the total number of e-challans found in the dataset of the Ahmedabad Police department. With regarsd to the type of violations for which maximum challans were issued, the topper was jumping a red light

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