Officials from Tmap Mobility demonstrate the TMAP Data Board at the launch ceremony on the 1st. /Courtesy of Tmap Mobility

T map Mobility announced on the 1st that it will participate in the public-private integrated mobility alliance 'NUMA (Next Urban Mobility Alliance).'

NUMA is an alliance involving the Ministry of Land, Infrastructure and Transport, local governments, private companies, academia, and research institutions, aiming to solve social issues in the transportation sector and facilitate the transition to sustainable smart cities.

It started with the aim of addressing four major tasks: bridging transportation gaps between regions, enhancing mobility safety, consolidating urban data, and fostering the growth of the mobility industry. It is an open alliance where public and private sectors participate simultaneously, distinguishing it from Japan's 'MONET' and the European Union's 'ULTIMO,' encompassing cooperation models that guarantee mobility rights for the transportation vulnerable, ensure the reliability of autonomous driving, standardize public and private data, and discover new businesses and expand globally.

On that day, at the NUMA launch ceremony held at the Walkerhill Hotel in Seoul, T map Mobility unveiled the 'T map Data Board' for the first time. The data board is a corporate dashboard that provides insights based on driving and traffic volume data for traffic, location, and event analysis.

'The traffic analysis board' allows users to check the average traffic speed and volume by road, vehicle type, time of day, and duration, which can be utilized for analyzing habitual congestion sections, predicting traffic jams, and evaluating policy effects. 'The optimal location board' enables visitor analysis through the comparison of facility and store locations and understanding surrounding traffic flow, assisting in the establishment of location strategies for key facilities such as offline stores, charging stations, and transfer centers. 'The festival and event board' analyzes visitor inflow areas, length of stay, and return rates to refine operating plans and quantitatively assess event outcomes.

T map Mobility noted, 'We will enhance our artificial intelligence (AI) agent mobility business based on accumulated mobility, traffic, and location data, and through participating in NUMA, we will actively contribute to expanding the domestic and international mobility ecosystem through data-driven policy support.'

※ This article has been translated by AI. Share your feedback here.