Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Integration of Dynamic Road Environmental Data for the Creation of Driving Simulator Scenarios

드라이빙 시뮬레이터 시나리오 개발을 위한 동적 도로환경 데이터 융합

  • Gwon, Joonho (Department of Computer Science and Engineering, University of Seoul) ;
  • Jun, Yeonsoo (International School of Urban Sciences, University of Seoul) ;
  • Yeom, Chunho (International School of Urban Sciences, University of Seoul)
  • Received : 2021.12.06
  • Accepted : 2021.12.29
  • Published : 2022.02.28
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Abstract

With the development of technology, driving simulators have been used in various ways. In driving simulator experiments, scenario creation is essential to increase fidelity, achieve research aims, and provide an immersive experience to the driver. However, challenges remain when creating realistic scenarios, such as developing a database and the execution of scenarios in real-time. Therefore, to create realistic scenarios, it is necessary to acquire real-time data. This study intends to develop a method of acquiring real-time weather and traffic speed information for actual, specific roads. To this end, this study suggests the concatenator for dynamic data obtained from Arduino sensors and public open APIs. Field tests are then performed on actual roads to evaluate the performance of the proposed solution. Such results may give meaningful information for driving simulator studies and for creating realistic scenarios.

기술발전에 따라 드라이빙 시뮬레이터는 다양한 용도로 활용되고 있다. 드라이빙 시뮬레이터 실험에서 시나리오 개발은 실험결과의 신뢰를 높이고 연구목표를 달성하며 운전자에게 보다 실제같은 경험을 제공하는데 필수적이다. 그러나 시나리오를 개발하는데 데이터베이스 형성과 실시간 시나리오 운영 등에는 아직도 제약이 많다. 본 연구는 이러한 환경에서 실제 도로에서 실시간 주행속도와 기상데이터를 수집하고 활용하는데 가능성을 확인하고자 한다. 또한 본 연구를 통해 아두이노 센서 데이터와 공공API 데이터를 연계하는 방안도 제시하고자 한다. 연구결과의 검증을 위해 실제도로에서 시험을 실시했으며 본 연구를 통해 드라이빙 시뮬레이터에서 실시간 데이터를 활용한 시나리오 개발에 도움이 될 것으로 기대한다.

Keywords

Acknowledgement

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2020S1A5C2A01092978).

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