Delivered on September 22, 2025
Kei Miyoshi, Hino Computer Systems Co., Ltd. @ Kinki University Seminar
Speakers:Kei Miyoshi
Hino Computer Systems Co., Ltd.
Solutions Promotion Department
Affiliation and position information is as of the time of distribution
"Location Information Business Seminar held at Kinki University on July 14, 2025
This seminar discussed the business possibilities of utilizing location information data.
We will introduce the content of each seminar in several installments."
Hino Computer Systems (HCS), which promotes data utilization within the Hino Motors Group, aims to realize a sustainable society by solving issues related to people and logistics through the power of digital technology. We asked HCS to clearly explain how "connected data" collected from Hino Motors' trucks, buses, and other vehicles can help solve various social issues.
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What is connected data?
Connected data is a collective term for various pieces of information collected from connected cars. This data covers a wide range of topics, including location, speed, fuel economy, engine status, and wiper and headlamp usage. This data is collected, stored, and analyzed in real time to improve user convenience and streamline business operations for companies.
Like data collected from smartphones, connected data offers significant benefits, bringing comfort and convenience to our lives and efficient business operations to companies. Examples include services that allow you to lock and unlock your car, turn the air conditioner on and off from your smartphone, and identify where you parked your car.
Connected data from trucks and buses paves the way for the future of logistics.
While passenger car data captures individual behavioral patterns, connected data from commercial vehicles, especially trucks and buses, can capture trends in logistics, the economy, and industry on a larger scale.
Hino Computer Systems calls the data collected from Hino Motors trucks and buses "Hino Connected Data" and utilizes it as big data. This data, collected from over 250,000 vehicles, can be customized to include detailed information such as vehicle count, speed, arrival/departure analysis, and stop frequency.
Truck Data Use Cases
Hino Connected Data contributes to solving the following social issues:
・Traffic and Logistics Efficiency: It is used to identify congestion and road closures in real time and quantitatively evaluate logistics efficiency after the opening of smart interchanges. Road managers can visualize road conditions over a wide area, beyond the capabilities of cameras and patrol vehicles alone, in real time.
・Disaster Prevention: In the event of a disaster, it is expected to be used in disaster prevention, such as instantly determining which roads are passable and optimizing routes for rescue vehicles.
・Carbon Neutrality: Data is also being used to select hydrogen station locations. Identifying areas with high truck traffic volume and frequent stops prevents mismatches between supply and demand and contributes to efficient infrastructure development.
These examples demonstrate that data can be used to quickly and accurately understand transportation and logistics trends, a task that previously relied on large-scale surveys and questionnaires.
Summary
Hino Computer Systems analyzes and processes Hino Connected Data and provides it to a wide range of partners, including construction consultants, logistics service companies, and local governments. This aims to contribute to solving societal challenges such as improving logistics efficiency, optimizing transportation infrastructure, responding quickly to disasters, and realizing a decarbonized society.
While this field may still be niche, the data it produces is extremely valuable, truly embodying its purpose: "solving people and logistics issues with the power of digital technology." Going forward, through co-creation with even more companies and organizations, the company will continue to expand the potential of connected data to create a more prosperous society.