Implementation of a Sensor Big Data Processing System for Autonomous Vehicles in the C-ITS Environment
To provide a service that guarantees driver comfort and safety, a platform utilizing connected car big data is required. This study first aims to design and develop such a platform to improve the function of providing vehicle and road condition information of the previously defined central Local Dyn...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/21/7858 |
| _version_ | 1827702740554350592 |
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| author | Aelee Yoo Sooyeon Shin Junwon Lee Changjoo Moon |
| author_facet | Aelee Yoo Sooyeon Shin Junwon Lee Changjoo Moon |
| author_sort | Aelee Yoo |
| collection | DOAJ |
| description | To provide a service that guarantees driver comfort and safety, a platform utilizing connected car big data is required. This study first aims to design and develop such a platform to improve the function of providing vehicle and road condition information of the previously defined central Local Dynamic Map (LDM). Our platform extends the range of connected car big data collection from OBU (On Board Unit) and CAN to camera, LiDAR, and GPS sensors. By using data of vehicles being driven, the range of roads available for analysis can be expanded, and the road condition determination method can be diversified. Herein, the system was designed and implemented based on the Hadoop ecosystem, i.e., Hadoop, Spark, and Kafka, to collect and store connected car big data. We propose a direction of the cooperative intelligent transport system (C-ITS) development by showing a plan to utilize the platform in the C-ITS environment. |
| first_indexed | 2024-03-10T15:03:46Z |
| format | Article |
| id | doaj.art-14c9acb50ba84fe0abbda8b7b298d90e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T15:03:46Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-14c9acb50ba84fe0abbda8b7b298d90e2023-11-20T19:57:03ZengMDPI AGApplied Sciences2076-34172020-11-011021785810.3390/app10217858Implementation of a Sensor Big Data Processing System for Autonomous Vehicles in the C-ITS EnvironmentAelee Yoo0Sooyeon Shin1Junwon Lee2Changjoo Moon3Department of Smart Vehicle Engineering, Intelligent Data Processing laboratory, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, KoreaDepartment of Smart Vehicle Engineering, Intelligent Data Processing laboratory, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, KoreaDepartment of Smart Vehicle Engineering, Intelligent Data Processing laboratory, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, KoreaDepartment of Smart Vehicle Engineering, Intelligent Data Processing laboratory, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, KoreaTo provide a service that guarantees driver comfort and safety, a platform utilizing connected car big data is required. This study first aims to design and develop such a platform to improve the function of providing vehicle and road condition information of the previously defined central Local Dynamic Map (LDM). Our platform extends the range of connected car big data collection from OBU (On Board Unit) and CAN to camera, LiDAR, and GPS sensors. By using data of vehicles being driven, the range of roads available for analysis can be expanded, and the road condition determination method can be diversified. Herein, the system was designed and implemented based on the Hadoop ecosystem, i.e., Hadoop, Spark, and Kafka, to collect and store connected car big data. We propose a direction of the cooperative intelligent transport system (C-ITS) development by showing a plan to utilize the platform in the C-ITS environment.https://www.mdpi.com/2076-3417/10/21/7858autonomous vehicleLDMHadoop ecosystemconnected carbig data platformIoT |
| spellingShingle | Aelee Yoo Sooyeon Shin Junwon Lee Changjoo Moon Implementation of a Sensor Big Data Processing System for Autonomous Vehicles in the C-ITS Environment Applied Sciences autonomous vehicle LDM Hadoop ecosystem connected car big data platform IoT |
| title | Implementation of a Sensor Big Data Processing System for Autonomous Vehicles in the C-ITS Environment |
| title_full | Implementation of a Sensor Big Data Processing System for Autonomous Vehicles in the C-ITS Environment |
| title_fullStr | Implementation of a Sensor Big Data Processing System for Autonomous Vehicles in the C-ITS Environment |
| title_full_unstemmed | Implementation of a Sensor Big Data Processing System for Autonomous Vehicles in the C-ITS Environment |
| title_short | Implementation of a Sensor Big Data Processing System for Autonomous Vehicles in the C-ITS Environment |
| title_sort | implementation of a sensor big data processing system for autonomous vehicles in the c its environment |
| topic | autonomous vehicle LDM Hadoop ecosystem connected car big data platform IoT |
| url | https://www.mdpi.com/2076-3417/10/21/7858 |
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