RTA unveil new AI chatbot

RTA unveil new AI chatbot
Mahboub chatbot will be able to help RTA customers with inquiries.
Published: 15 October 2018 - 11:48 a.m.
By: Mark Sutton

Dubai's Roads and Transport Authority (RTA) has shown a new chatbot at GITEX.

The ‘Mahboub' chatbot will provide services to RTA customers, such as enquiries about nol cards or driving licence renewal.

"Mahboub is a Chat Bot system between RTA and clients using AI technology," says Mohammed Al Khayat, Director of Smart Services, at RTA's Corporate Technology Services Sector.

"It enables clients to communicate with RTA through an automated chatting environment. Clients can inquire about informational services such as documents required for renewing driver's license, and the system will respond to them without involving the Call Centre staff.

They can also inquire about interactive services (such as nol card balance), and transactional services (such as the renewal of driving licenses or vehicle registration), adds Al Khayat.

"The system is bilingual (Arabic/English) and can be accessed through RTA's website.More channels will be added to the system in future. It is considered one of the biggest chatting systems in the region in terms of the number of services covered. It encompasses about 90 informational, interactive and transactional services, thus offering a broad spectrum of RTA's most common services.

Examples of services on offer include rail services, nol, public transport, marine transport, licensing, parking and general inquiries," he added.

RTA uses AI in several services including the automated control of the metro service frequency (headway), machine learning in analysing Big Data, and emergency response system at the Enterprise Command and Control Centre (EC3). It also uses AI in drones, personal assistant fitted with smart speakers, customers' happiness meter, and the dedicated Bus & Taxi lanes. It also uses AI in Al Raqeeb System to monitor the performance and fatigue of its public transport drivers, smart vehicle testing yard, smart traffic signals, smart autonomous vehicle, and the autonomous air taxi.

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