Abstract ▼

Purpose& contents
● In this study, we propose a new image-based traffic data collection system that efficiently collects and analyzes the big traffic data obtained by a mobile black-box application for smart phones on all roads in real-time. We also develop a practical and secure mobile vehicular

Purpose& contents
● In this study, we propose a new image-based traffic data collection system that efficiently collects and analyzes the big traffic data obtained by a mobile black-box application for smart phones on all roads in real-time. We also develop a practical and secure mobile vehicular black-box application.
● To achieve our goal, we develop efficient image transmission technique for real-time image-based traffic information collection and various security protocols for secure traffic information communication
● Finally, we analyze the performance of the proposed model based on the actual traffic information in the road environment of Seoul and evaluate the practicality

Result
● The results of the study were as follows for each of the 6 research projects detailed in the research plan.
Step 1: Designing real-time traffic information collection model using black box app for smartphone
- We completed the system model design for real-time traffic information collection from each car, and developed an early version of CarTalk, a black box app for smartphones.
Step 2: Develop key frame extraction technique and efficient image transmission technique
- We have developed a key frame extraction module by voice and user touch, and have developed an image compression technology for efficient image transmission.
Step 3: Develop a transmission technique to protect driver privacy
- We have proposed a security protocol for privacy protection of an automobile and an anonymous key sharing protocol, and have proposed a car reputation system to transmit and receive reliable traffic information.
Step 4: Design and construction of traffic data management server
- We designed and constructed a traffic information management server model using Elastic search engine and NoSQL database.
- GPS coordinates and road information matching technology were developed for storage of location-based traffic information and efficient information search.
- We proposed a mechanism to provide driver-customized traffic information in consideration of the driving direction of the driver.
Step 5: Develop a prototype for practical use
- We developed the CarTalk app that integrates intelligent traffic event detection technology and developed a platform for vehicle infotainment.
Step 6: Performance evaluation in domestic road environment
- Based on actual Korean road information and traffic volume, we evaluated the efficiency and transmission rate experiment for image-based traffic information communication.

Expected Contribution
● Based on the developed real-time traffic information collection environment, we plan to "develop a system that can recognize the emergency traffic situation automatically using smart mobile device and share it in real time".
● So, we expect that we can establish a more secure and intelligent transportation system by the future work

(출처 : SUMMARY 5p)

목차 Contents

• 표지 ... 1
• 목차 ... 2
• 연구계획 요약문 ... 3
• 연구결과 요약문 ... 4
• 한글요약문 ... 4
• SUMMARY ... 5
• 연구내용 및 결과 ... 6
• 1. 연구개발과제의 개요 ... 6
• 2. 연구수행 내용 및 결과 ... 10
• 3. 목표달성도 및 관련분야에의 기여도 ... 31
• 4. 연구결과의 활용계획 ... 35
• 5. 주관연구책임자 대표적 연구실적 ... 36
• 6. 참고문헌 ... 36
• 7. 연구성과 ... 38
• 8. 국가과학기술지식정보서비스에 등록한 연구시설‧장비 현황 ... 41
• 9. 기타사항 ... 41
• 별첨1 ... 42
• 별첨2 ... 57
• 끝페이지 ... 102