Vision

2-A. Human-centered

The current automobile industry has grown rapidly over the last century, becoming a vital device industry and the most important tool in modern life, and now combined with IoT and AI (Artificial Intelligence) technologies, it is accelerating changes in new technologies such as connected cars, electric vehicles and autonomous driving cars.

In the automobile industry, large manufacturers develop and provide core services for the users, and generate and utilize various data related to each component associated with the vehicle (e.g., convenience, safety, connectivity, security) to advance their services.

In an incredible speed, the automobile industry is turning into a service industry, not a manufacturing industry, and now the automobile has become a hub for moving mobility, not just transportation method, and is evolving into a digital information space, a new concept of living and cultural space.

But so far, services mainly provide information on the condition of the car as a mechanical device or electronic sensor, and the driver's health information, which is still the most important element of safe driving, relies on individual drivers' smart bands or wearable equipments, and is not even integrated and managed together.

The safe driving service or vehicle driving information service provides information unilaterally, regardless of the basic driving ability or driving characteristics of the driver. Such service does not take into account the characteristics or circumstances of the driver, which in some cases may distract the driver or cause a traffic accident.

The development of medical technology and advanced technology is leading us to an era of global aging and the elderly drivers are often causing accidents from errors due to their declining physical and mental functions. Social costs and consensus are actively needed to secure basic mobility rights for people with disabilities (aged, disabled, beginners, etc).

Therefore, we aim to build an innovative platform to transform the automobile, from a mechanical means of transportation to a living space and a service hub where people consume and share space and information, and this kind of platform must be for the humans, by the humans and human-centered.

Changes in the functions and concepts of vehicle operating convenience due to changes in technology, society and human values

System application technology and product development required in connection with IT integration and smart market expansion
Development of a comprehensive system for convergence service design that actively responds to changes in the driver's condition is needed
The rapid increase of elderly people and the arrival of U-Healthcare era necessitate functions to check driver's conditions

Through the development of ICT convergence UI/UX technology, it should be a universal business service model that provides convenience and simplicity of operation to drivers who are vulnerable to traffic (age, disability, novice, etc.) in addition to regular drivers, and we should prepare to form a social consensus and guide on the safety issues and driving of elderly drivers, who are likely to cause conflicts between generations in an aged society.

Because the mobility platform is a source of data for the mobility ecosystem and is a key component for a variety of services, the success or failure of the mobility platform depends on the availability of robust and faultless data.

In order to meet the demand for multi-layered mobility services, it is necessary to construct a platform that can share data smoothly, and a mobility ecosystem in which mobility services can operate smoothly. The safety and reliability of the mobility ecosystem must be ensured so that various partners can participate.

Starting from basic information on the vehicle, driver (AI) and operating environment, the mobility platform distributes electronic mobility data for the mobility ecosystem by collecting and analyzing in-flight data and real-time data on weather, traffic accidents, road construction, etc.

In addition to drivers who directly operate the vehicles, participants in the mobility platform include many companies in the automotive ecosystem, such as car makers, car repair stations, insurance companies, used car exchanges, and will widely include others in society, including traffic policy makers, big data analysts, and self-driving developers. Blockchain-based mobility systems support equal participation and services for all platform participants.

Because all data on the mobility platform is made up of big data from a large number of individual users, it holds the nature and value of the public good. To provide more accurate and efficient data services, diverse members of the mobility platform and active participation of the mobility ecosystem are required.

The value of the mobility platform will be developed by demand and supply, with blockchain technology separating users' data from personal information and mobility data in the mobility ecosystem. Further ensuring that personal information is tightly and completely protected, and mobility data will be used based on the approval of owners with control, not arbitrarily used according to their own decision-making rights.

Personal information self-determination (self-information management control)
The right to autonomously determine and manage information about oneself in order to be protected. [Wikipedia]
Personal Information Self-Determination Rights
① Information about yourself is not compromised.
(The right to self-assessment or right to collect, analyze and reject one's own information),
② Be free to access information about oneself (right to access or read one's own information),
③ Can request correction, suspension or deletion of information about oneself.
④ If such a request is not accepted, an appeal or claim for damages may be made.

2-B. Data-driven

Although there has been a lot of automobile information data (mainly in-car data), by car it has been managed independently by manufacturers or service providers in different formats and systems, and there has been no systematic collection and integrated management system.

Since the data collected by car manufacturers, maintenance agencies, rental car companies, and used car companies are different from each other, and the collecting activities were overlapping with one another, the need for integration has been constantly raised. However, due to lack of a standardized model among data, it was impossible to construct a single platform.

Collecting automobile data by simply dividing inside and outside of vehicles is an outdated method, and an integrated mobility perspective to collect and operate useful data across the entire spectrum, including vehicle information, driver information, and driving environment information is crucially needed at this time.

In addition, the emergence of new mobility such as autonomous vehicles and Smart Car calls for the collection and utilization of scalable system data covering not only human-oriented drivers, but also AI drivers.

Moreover, due to the rapid spread of smart devices, the introduction of "healthcare" combined with IT information and various medical technologies has been attempted in automotive products. It is time to collect and utilize data through such devices and sensors as there are a number of novel devices that can provide users with new experiences and convenience by looking at the relationship between cars and drivers from various angles and creating a new concept called U-Health care.

Establishment of IoT-based data collection and analysis system

Monitoring the driver's biometric information, such as blood pressure, pulse, heart rate and body temperature, and monitoring the vehicle's condition through the collection and analysis of vehicle data like OBD and black box
It is expected that introduction of IoT system focusing on vehicle operation which is additionally linked with various sensors and data collectors for vehicles will be effective in the safety system of elderly drivers.
All data related to vehicle operation (vehicle information, driver's bio information, and environmental information) are not managed as a whole, but are being operated individually and distributed, reducing efficiency. Hence, establish an efficient system by integrating and analyzing data via wearable products such as OBD, black box and wristbands
Cloud-based Big Data can be analyzed and monitored in real time, enabling quick response and action to changes of the driver
It is necessary to analyze and understand one's own driving pattern through the driving load algorithm. Since the elderly driver changes the driving patterns when the driving time is lengthened, continuous pattern analysis and notification service are requested based on real-time monitoring.

Capitalization of vehicle data

Today, with advances in autonomous driving technology, mobile services and networking, vehicle data are growing exponentially (e.g. autonomous vehicles generate 5 to 50TB of data per day).
Capitalization of vehicle data provides clear value for cost savings, mutual benefits, safety and security, and can be used to measure generated revenue or saved costs
Building a platform that combines IoT technology, including in-vehicle devices such as advanced sensors and smart devices, big data analysis and algorithms, and mobile services that are convenient to use in everyday life and providing reliable and reliable data services to platform users

Digital Data Diagnosis

Digital data diagnosis service providing various data modeling based on Big Data
Major customers: public institutions / service companies, etc. who need various data modeling based on Big Data

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Last updated 2 years ago