How far ahead does the service forecast exit times?

It shows the estimated time at the moment of display plus forecasts for 30 minutes, 1 hour and 2 hours later, on 16 screens inside the facility and on the official website.

How does the system collect information?

License-plate recognition cameras installed on the parking structure's floors send video over an LTE connection to TRASCOPE-AI, where cloud-based AI analyzes vehicle conditions.

Why was Grandberry Park chosen for this service?

Its parking lot holds 2,027 vehicles but has only three exits, and congestion from the nearby Tomei Expressway Yokohama-Machida interchange has caused exit traffic jams during busy periods.

Top Companies' AI MovesTop Companies AI4m agoOct 31, 2026, 06:30 JST

Marubeni Network Solutions delivers AI exit-time service to Grandberry Park

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3 Key Points

What happened
Marubeni Network Solutions said on October 29 it delivered an AI image-analysis service to Grandberry Park, which has 2,027 parking spaces and only three exits. The system predicts time to exit and shows forecasts for 30 minutes, 1 hour and 2 hours ahead on 16 in-facility screens and the official website.
Why it matters
Telling drivers how long an exit will take is meant to spread departures out, and staff can use the forecasts to position guards.

WHO IT HITSFacility operators running large parking structures with limited exit capacity may see a template here, while on-site security and traffic staff at Grandberry Park gain congestion forecasts they can use to plan staffing.

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Context & Analysis

Grandberry Park's setup -- 2,027 spaces against just three exits, with the Tomei Expressway's Yokohama-Machida interchange close by -- creates the kind of bottleneck where a few minutes' warning can change driver behavior. Marubeni Network Solutions' service routes video from license-plate cameras on each floor over LTE to its TRASCOPE-AI cloud platform, which calculates time to the exit and publishes forecasts rather than only current conditions. Showing the 30-minute, 1-hour and 2-hour outlook on 16 in-facility screens and the website is intended to encourage drivers to leave at different times. The same forecasts also give facility staff a basis for placing security guards, and camera feeds can be checked alongside congestion status in one view. Marubeni I-DIGIO Group frames the delivery as a first step in expanding AI image-analysis services, with the stated goals of more efficient facility operations and less load on surrounding roads.

FAQ

How far ahead does the service forecast exit times?: It shows the estimated time at the moment of display plus forecasts for 30 minutes, 1 hour and 2 hours later, on 16 screens inside the facility and on the official website.
How does the system collect information?: License-plate recognition cameras installed on the parking structure's floors send video over an LTE connection to TRASCOPE-AI, where cloud-based AI analyzes vehicle conditions.
Why was Grandberry Park chosen for this service?: Its parking lot holds 2,027 vehicles but has only three exits, and congestion from the nearby Tomei Expressway Yokohama-Machida interchange has caused exit traffic jams during busy periods.

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