[논문]공간 정보 질의를 이용한 차량 추적 애플리케이션의 설계 및 구현

아누그라 모흐 일함; 정진욱; 진교홍; 황민태

doi:10.6109/jkiice.2019.23.6.637

공간 정보 질의를 이용한 차량 추적 애플리케이션의 설계 및 구현
Design and Implementation of The Vehicle Tracking Applications using Geospatial Query 원문보기

한국정보통신학회논문지 = Journal of the Korea Institute of Information and Communication Engineering, v.23 no.6, 2019년, pp.637 - 644

아누그라 모흐 일함 (Department of Eco-Friendly Offshore Plant FEED Engineering, Changwon National University) , 정진욱 (Department of Electronic Engineering, Changwon National University) , 진교홍 (Department of Electronic Engineering, Changwon National University) , 황민태 (Department of Information & Communication Engineering, Changwon National University)

초록
AI-Helper

공공 안전은 스마트 시티(Smart City)의 주요 목표 중 하나이다. 본 논문에서는 공공 안전에 도움을 줄 수 있는 차량 추적 시스템을 제안하고서 관련 애플리케이션을 설계 및 구현하였다. 제안하는 차량 추적 시스템의 목적은 경찰에게 도난 차량의 위치 정보를 실시간으로 제공해서 보다 효율적으로 도난 차량을 추적하는 것이다. 차량 소유자가 차량 추적을 요청하면, 이 요청을 수신한 공공 안전 서버 프로그램은 공간 정보 질의(Geospatial Query) 기법을 사용하여 도난 차량과 가장 가까운 경찰을 찾아 도난 차량의 위치와 시간, 거리 및 경로와 같은 정보들을 제공한다. 구현한 시스템의 유효성을 입증하기 위해 타임 스탬프(Time Stamp)를 이용한 트랜잭션 시뮬레이션을 수행하였으며, 이 시뮬레이션을 통해 1.2초 이내의 빠른 시간 내에 차량 소유자의 요청이 경찰에게 전달되는 것을 확인할 수 있었다.

Abstract ▼ AI-Helper

In recent years, many public safety systems in the smart city are developed. These systems are taking responsibility to make a safe and comfortable city. In this paper, we propose vehicle tracking systems include a public safety system that enables the policeman to track the stolen vehicles more efficiently by providing the vehicle information in real time. When a vehicle is stolen, the vehicle owner can send a user emergency request. Then, the public safety server which supported by a geospatial query technique will give information such as time, distance, and routes to a policeman who is closest to the location of the vehicle to catch the thief. 300 simulations were performed to evaluate the performance of the system. We found that the average of times required when vehicle owner send a user emergency message on user application until policeman obtain a vehicle tracking request on police application below 1.2 seconds.

주제어

표/그림 (8)

그림 Fig. 1 The block diagram of the proposed vehicle tracking system
그림 Fig. 2 Flowchart of vehicle location data processing program
그림 Fig. 3 The three tables in anti-theft database
그림 Fig. 4 Flowchart of public safety server program
그림 Fig. 5 The four tables in public safety database
그림 Fig. 6 The screenshots for the vehicle monitoring(a) and SOS request activity(b) in the user application
그림 Fig. 7 The screenshots in the police application when receiving Vehicle Tracking Request Message(a) and tracking a stolen vehicle activity(b)
그림 Fig. 8 The average time required to send a User Emergency Message

AI 본문요약
AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

제안 방법

Therefore, in this paper, we focused on how the vehicle location data can be more useful on the government side. And using the geospatial query, the proposed system can determine and provide information to the policeman who is closest to the stolen vehicle.
To solve these problems, we developed a vehicle tracking systems that enables the police to track the stolen vehicles more efficiently by providing vehicle information stored in existing commercial anti-theft systems to the police. The developed systems consist of two systems, the commercial anti-theft system and the public safety system. The commercial anti-theft system collects the vehicle information periodically.
4 describes the flowchart of the public safety server program. When a VTRM received, the program will analyze the message to find the policeman who is closest to the location of the stolen vehicle with radius one-kilometer from the location of the stolen vehicle. If the program can not find a policeman, the distance of radius to find policeman will be increased by one kilometer every increment.

참고문헌 (21)

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상세보기
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원문보기 상세보기
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