드론 영상을 활용한 차량궤적자료 기반 고속도로 미시적 교통분석 = Microscopic Traffic Analysis of Freeway Based on Vehicle Trajectory Data Using Drone Images

다국어 초록 (Multilingual Abstract)

Vehicles experience changes in driving behavior due to the various facilities on the freeway. These sections may cause repetitive traffic congestion when the traffic volume increases, so safety issues may be raised. Therefore, the purpose of this study is to perform microscopic traffic analysis on these sections using drone images and to identify the causes of traffic problems. In the case of drone image, since trajectory data of individual vehicles can be obtained, empirical analysis of driving behavior is possible. The analysis section of this study was selected as the weaving section of Pangyo IC and the sag section of Seohae Bridge. First, the trajectory data was extracted through the drone image. And the microscopic traffic analysis performed on the speed, density, acceleration, and lane change through cell-unit analysis using Generalized definition method. This analysis results can be used as a basic study to identify the cause of the problem section in the freeway. Through this, we aim to improve the efficiency and convenience of traffic analysis.

국문 초록 (Abstract)

고속도로를 주행하는 차량은 다양한 시설로 인한 주행행태 변화를 경험한다. 이러한 구간은교통량 증가 시에 반복적인 교통 정체를 유발할 수 있어 이에 따른 안전성 문제가 제기될 수있다. 따라서 본 연구는 드론 영상을 활용하여 고속도로 내 반복적인 정체가 발생하는 구간에대한 미시적인 교통분석을 수행하고 교통문제의 원인을 파악하는 것을 목적으로 한다. 드론영상의 경우 기존 검지기 기반 교통분석 수집체계에서 취득 가능한 집합 형태의 자료에서 벗어나 개별 차량의 궤적자료를 얻을 수 있기 때문에 차량주행행태에 대한 실증 분석이 가능하다. 본 연구의 분석 구간은 차량주행행태 변화가 심한 판교 IC 엇갈림구간과 서해대교 경사구간으로 선정하였다. 드론 영상을 통해 문제 구간을 통과하는 차량의 궤적자료를 추출하고, 일반화 된 정의(Generalized Definition)를 활용한 셀 단위 분석을 통해 속도, 밀도, 가속도, 그리고차로변경에 대한 미시적인 교통분석을 수행하였다. 본 연구 결과는 고속도로 내 문제 구간의원인 파악을 위한 기초 연구로 활용될 수 있으며, 이를 통해 교통분석 업무의 효율성과 편의성향상을 도모하고자 한다.

참고문헌 (Reference)

1 Khan M. A., "Unmanned Aerial Vehiclebased Traffic Analysis : Methodological Framework for Automated Multivehicle Trajectory Extraction" 2626 (2626): 25-33, 2017

2 Khan M. A., "Unmanned Aerial Vehicle-Based Traffic Analysis : A Case Study for Shockwave Identification and Flow Parameters Estimation at Signalized Intersections" 10 (10): 458-, 2018

3 Barmpounakis E. N., "Unmanned Aerial Aircraft Systems for Transportation Engineering : Current Practice and Future Challenges" 5 (5): 111-122, 2016

4 Khan M. A., "UAV-Based Traffic Analysis : A Universal Guiding Framework Based on Literature Survey" 22 : 541-550, 2017

5 Coifman B., "Traffic Flow Data Extracted from Imagery Collected Using a Micro Unmanned Aerial Vehicle" 298-303, 2006

6 Treiterer J., "The Hysteresis Phenomenon in Traffic Flow" 6 : 13-38, 1974

7 Coifman B., "Surface Transportation Surveillance from Unmanned Aerial Vehicles" 11-20, 2004

8 Coifman B., "Roadway Traffic Monitoring from an Unmanned Aerial Vehicle" 153 (153): 11-20, 2006

9 Punzo V., "On the Assessment of Vehicle Trajectory Data Accuracy and Application to the Next Generation SIMulation(NGSIM)Program Data" 19 (19): 1243-1262, 2011

10 Daganzo C. F., "Fundamentals of Transportation and Traffic Operations" Pergamon Oxford 66-77, 1997

11 Lu X. Y., "Fundamental Diagram Modeling and Analysis based NGSIM Data" 42 (42): 367-374, 2009

12 Lu X. Y., "Freeway Traffic Shockwave Analysis: Exploring NGSIM Trajectory Data" 2007

13 Barmpounakis E. N., "Extracting Kinematic Characteristics from Unmanned Aerial Vehicles" 2016

14 Punzo V., "Estimation of Vehicle Trajectories from Observed Discrete Positions and Next-generation Simulation Program (NGSIM) Data" 2009

15 Thiemann C., "Estimating Acceleration and Lane-changing Dynamics Based on NGSIM Trajectory Data" 2008

16 Daamen W., "Empirical Analysis of Merging Behavior at a Freeway On-ramp" 2188 (2188): 108-118, 2010

17 Edie L. C., "Discussion of Traffic Stream Measurements and Definitions" Port of New York Authority 139-154, 1963

18 Gao H., "Automatic Extraction of Multi-Vehicle Trajectory Based on Traffic Videotaping from Quadcopter Model" 552 : 232-239, 2014

19 Puri A., "A Survey of Unmanned Aerial Vehicles (UAV) for Traffic Surveillance" Department of Computer Science and Engineering, University of South Florida 1-, 2005

20 Coifman B., "A Critical Evaluation of the Next Generation Simulation(NGSIM)Vehicle Trajectory Dataset" 105 : 362-377, 2017