MDEC Data Economy director Dr Karl Ng Kah Hou said Grab's contribution to the Malaysia The City of Brain Initiative is invaluable as the Artificial Intelligence (AI) ecosystem is vitally dependent on the richness and variety of its data sources.
“No two cities are the same, and the sharing of such resources by Grab will also help our city planners to better understand the unique transportation needs of each city and neighbourhood,” he said, during the formalization of a Memorandum of Understanding between the two organizations, today.
The initiative aims to create a smart city traffic management system, which uses big data, artificial intelligence and cloud computing.
Grab Malaysia country head Sean Goh said MDEC and the Government, Grab can offer the Malaysia City Brain effort to their expertise from across the region, along with the vast anonymized data generated by Grab drivers.
“Grab's core mission is to help provide safe, efficient, convenient and affordable mobility solutions for cities in like Kuala Lumpur,” he said.
Goh said the initiative will help provide urban planners and traffic managers greater success in resolving key transportation issues, enhancing emergency services, delivery times, and reducing congestion.
The real-time, anonymised traffic data provided by Kuala Lumpur's growing transport demand and urban transport planning. Grab will include traffic speeds and travel times for popular Kuala Lumpur routes.
This will be coupled with traffic sources including 500 CCTV cameras and 300 traffic lights, social media feeds and traffic information from local traffic agencies and Government sources.
When processed using cloud computing and AI-based technologies, it is expected that the Malaysia City Brain will be able to identify potential traffic challenges, develop better predictive modelling, and more efficiently manage city traffic in real time.
World Bank's 2015 Malaysia's Economic Monitor report get stuck in the Klang Valley traffic every day, spending 250 million hours a year stuck in traffic at the cost of 1.1% to 2.2% of the country's GDP in 2014.