By NAN – 

The Kaduna State Traffic Law Enforcement Authority (KASTLEA) is being automated to make traffic enforcement in more efficient, a government statement said on Wednesday.

Mr Muyiwa Adekeye, Special Adviser to the state governor on Media and
Communication, said the automation would lead to electronic traffic enforcement, electronic documentation of traffic fines, vehicle accidents and real-time verification of vehicle documents.

Adekeye said that a company known as Motomarket Ltd, was in charge of the new system, under a public-private partnership.

“The automation of KASTLEA will help make traffic enforcement activities in Kaduna State more efficient.

“All traffic enforcement agencies will have access to the Motohub
system to verify vehicle particulars, record details of traffic incidents, issue citations to offenders and collect fines.

“The partnership between KDSG and Motomarket to automate KASTLEA
processes makes KASTLEA the first state traffic enforcement authority
to electronically document all traffic violations and accidents,” he said.

According to him, the state government database is now integrated with
the relevant federal databases and this will allow for real-time electronic verification of vehicle documentations and promote a paperless, mobile device-based citation process.

Adekeye said the system design was based on the principle that
individuals without valid licenses or vehicle registration documents
should not be able to get insurance.

He added that the system insisted that all individuals must be insured
against a particular vehicle to drive it.

News Agency of Nigeria (NAN) reports that Motorhub was a database
system with a citation and collusion reporting software, and the
ability to read barcodes, number plates and fingerprints based on the
hardware capabilities of an agreed mobile device.

Adekeye said that the Motohub data would be shared with the Federal
Road Safety Corps (FRSC) and the National Insurance Commission for
assessing risk-based insurance pricing to ensure better driver
behaviour.

He said that the data generated by the system would be useful for
incremental fining for repeat traffic offenders, reduce corruption in
traffic enforcement and allow collaboration with other state traffic
enforcement agencies for increased revenue generation and efficiency.

He said the processes would compel insurance companies to actually
cover third party damage and to cover passenger injury on public transport and check other documentation legally required to drive. NAN

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