Products

Wide-area road network traffic flow simulation

SOUND

Proving how traffic flows, in numbers.

Traffic flow simulation for road networks from a few kilometres to several hundred kilometres across. Based on research from the Institute of Industrial Science at the University of Tokyo and refined over more than 25 years. Its mesoscopic model, built on the flow-density (Q-K) relationship, supports dynamic route choice, signal control and environmental assessment.

Analysis of wide-area networks from a few to several hundred kilometres
Dynamic route choice modelled by vehicle type
Applied to bypasses, road pricing and disaster evacuation planning
Estimation of CO2 emissions and fuel consumption

Ask about SOUND Full details (in Japanese)

Street network traffic flow simulation

AVENUE

Bringing science to a single second at an intersection.

Traffic flow simulation for street networks from a single intersection up to a few kilometres square. Its block density method, published through the simulation clearing house of the Japan Society of Traffic Engineers (JSTE), allows signal control, traffic regulation and the effect of ITS deployment to be evaluated with high accuracy.

Block density method grounded in traffic engineering theory
Quantitative evaluation of signal control schemes and intersection improvements
Import of digital map data
2D and 3D animation with project management features

Ask about AVENUE Full details (in Japanese)

Microscopic traffic simulation

MicroAVENUE

Reproducing the behaviour of every single vehicle.

Vehicle-by-vehicle simulation of local traffic at intersections, on residential streets and around roadworks. Changes to signal phasing, lane design and merge geometry can be checked intuitively in 3D. Mixed traffic including automated vehicles and new forms of mobility is also supported.

Detailed behaviour reproduced with a vehicle agent model
Support for automated vehicles and new mobility such as e-scooters
Mixed analysis of pedestrians, bicycles and vehicles
Assessment of congestion from roadworks and lane closures

Ask about MicroAVENUE Full details (in Japanese)

Crowd and evacuation simulation Certified by the Tokyo Fire Department

Smart Crowd(in development)

Seeing what could happen to a crowd, before it does.

A crowd simulation system that reproduces the movement and evacuation behaviour of large numbers of people using individual agent models. In January 2026 the Tokyo Fire Department certified Smart Crowd under its evaluation scheme for fire evacuation simulation. Results from a certified simulator may be submitted with an application for an exemption from the seating standards of the Fire Prevention Ordinance, and may be used as formal evidence in fire safety plans and building confirmation applications.

Usable as formal evidence in fire safety plans and building confirmation applications
Import of BIM and CAD drawings
Accurate reproduction of arching and exit blocking
Automatic calculation of evacuation completion time and risk maps

Ask about Smart Crowd Full details (in Japanese)

People-flow sensing and data collection

BTflow(in development)

Measuring the flow of people directly, on site.

Bluetooth sensors placed indoors or across an outdoor area collect walking routes, dwell times and pedestrian counts in real time. The data feeds straight into Smart Crowd and our people-flow simulation, giving accurate analysis and congestion forecasting. Measured reality and simulation are combined so that each improves the other.

Anonymous detection of Bluetooth devices such as smartphones
Real-time heat maps of movement and dwell time
Direct data link into Smart Crowd and people-flow simulation
Suited to commercial facilities, stations, tourist areas and event venues

Ask about BTflow Full details (in Japanese)

SOUND

AVENUE

MicroAVENUE

Smart Crowd(in development)

BTflow(in development)

Let's take the first
step together.

PRODUCTS

SOUND

AVENUE

MicroAVENUE

Smart Crowd(in development)

BTflow(in development)

Let's take the firststep together.

Let's take the first
step together.