Japan – Fujitsu-developed traffic simulation system made use of in Maebashi City’s mass transit preparation

Fujitsu-developed traffic simulation system made use of in Maebashi City’s mass transit preparation

In Japan-first, system integrates fixed-route and demand-responsive transportation, and adds to sustainable public transport as part of a job promoted by Japan’s Ministry of Land, Infrastructure, Transport and Tourism

KAWASAKI, Japan, Mar 23, 2026 – (JCN Newswire) – Fujitsu Limited today revealed that its detailed traffic simulation system, established under agreement for the Ministry of Land, Infrastructure, Transport and Tourism (MLIT)-led local transport DX promo task COMmmmONS, has actually been embraced for the Maebashi City Regional Public Transportation Plan, released by the city government on March 23, 2026. Analysis performed by the system is consisted of in the strategy as clinical proof supporting the policy to increase bus paths, among the strategy’s crucial steps.

Throughout towns nationwide, attending to the requirements of transportation-disadvantaged locals and reacting to carbon neutrality in the transport sector have actually ended up being immediate obstacles, driving the requirement to advance and update public transport systems.

In Maebashi City, obstacles such as group modifications, progressively varied movement requirements, and a scarcity of bus motorists have actually emerged. As the city taken a look at optimum bus path reorganization procedures under the Maebashi City Regional Public Transportation Plan, it needed robust and reputable clinical proof to validate the efficiency of these procedures.

Fujitsu was chosen for the COMmmmONS task in April 2025 and established a system efficient in imitating both fixed-route and demand-responsive transport, a very first for Japan. The energy of the simulation results produced by this system was consequently acknowledged, causing its adoption in Maebashi City’s local public transport strategy.

The detailed traffic simulation system leverages Fujitsu’s social digital twin innovation to support the pre-verification of procedures by mimicing human and social habits. It makes use of normally offered analytical information on resident qualities, motion, and locations, in addition to ridership information accessible from MaaS apps.

1. Examination of policy results through high-precision simulation

The system makes use of distinct Fujitsu innovations: synthetic population innovation, which creates resident information showing local qualities based upon over 10 analytical anonymized datasets consisting of the National Census; a behavioral choice design that utilizes AI to discover real-world travel information (i.e., travel times, expenses for prospective paths, citizens’ ages, cars and truck ownership status, and so on) and recreate the travel mode choice qualities of regional homeowners; and multi-agent simulation innovation, efficient in replicating numerous transport modes with various attributes. This makes it possible for the evaluation of comprehensive resident travel need and creates simulation outcomes that carefully show real-world travel conditions, even when real travel information is inadequate, consequently properly examining the predicted results of policies.

2. Improving strategy solution and speeding up agreement structure

The system deals with travel need forecasting and modal split evaluation in addition to policy factor to consider and visualization of simulation outcomes. Using this system in local transport strategy solution can simplify the procedure, lowering the time needed for agreement structure with stakeholders, especially transport operators, by around 25%. The procedure formerly might take in between one and 2 years when contracted out to seeking advice from companies.

3. Assistance for optimum strategy solution with multi-faceted examination signs

The system supplies a vast array of examination indications, consisting of use status and service levels for each transport mode, ride-sharing rates for demand-responsive transportation, and general task expenses for procedures. This allows a thorough examination of the effect of transport policies on users, operators, and the whole area, supporting the formula of ideal strategies to deal with “transportation deserts” where protecting mass transit is tough, and to understand sustainable local transport.

Fujitsu prepares to advertise this system as a service by 2026, establishing it into a basic tool suitable throughout Japan. It will likewise promote partnership with partners taken part in enhancing local transport, consisting of city governments, speaking with companies, and transport operators. Through these efforts, Fujitsu intends to support the solution of local public transport prepare for city governments throughout Japan.

Fujitsu will continue to train the system utilizing movement information and other sources to develop it as an AI engine efficient in precisely reproducing the varied habits of regional homeowners so that it can add to city advancement and neighborhood preparation across the country.

Under Uvance, Fujitsu’s service design to attend to social difficulties, it will advance sustainable cities where everybody can live easily by boosting local transport through information and AI.

About COMmmmONS

In the field of local transport, while the adoption of digital innovations such as MaaS and ride-hailing apps is advancing, the siloed advancement of organization designs and systems has actually led to an absence of interoperability in between services and information. As enhancing the quality and efficiency of transport services to deal with transport deserts ends up being an immediate concern, a brand-new technique is required to methodically promote local transport DX fixated cooperation and cooperation. The local transport DX promo task “COMmmmONS (Code for Mobility Common Society)” is a brand-new effort that intends to develop and standardize finest practices for analytical utilizing digital innovation throughout 4 pillars: services, information, management, and company procedures. By horizontally releasing these practices, it looks for to develop technological properties that end up being typical home for society.

About Fujitsu

Fujitsu’s function is to make the world more sustainable by developing rely on society through development. As the digital improvement partner of option for clients around the world, our 113,000 workers work to deal with a few of the best obstacles dealing with mankind. Our series of services and services make use of 5 essential innovations: AI, Computing, Networks, Data & & Security, and Converging Technologies, which we combine to provide sustainability improvement. Fujitsu Limited (TSE:6702) reported combined incomes of 3.6 trillion yen (US$ 23 billion) for the ended March 31, 2025 and stays the leading digital services business in Japan by market share. Discover more: global.fujitsu