Development of Smart In-depth Crash Investigation System Prototype: Unmanned Aerial Vehicles (UAVs) Technology Integration


  • Wiroon Yotmeeboon Department of Civil Engineering, Khon Kaen University, Mittapap Road, Amphur Muang, Khon Kaen 40002, Thailand
  • Pongrid Klungboonkrong รองศาสตราจารย์ ศูนย์วิจัยและพัฒนาโครงสร้างมูลฐานอย่างยั่งยืน ภาควิชาวิศวกรรมโยธา คณะวิศวกรรมศาสตร์ มหาวิทยาลัยขอนแก่น
  • Waranyu Auttha นักวิจัย ประจำศูนย์วิจัยและพัฒนาโครงสร้างมูลฐานอย่างยั่งยืน ภาควิชาวิศวกรรมโยธา คณะวิศวกรรมศาสตร์ มหาวิทยาลัยขอนแก่น
  • Peeravut Thongin นักศึกษา หลักสูตรวิศวกรรมศาสตรมหาบัณฑิต สาขาวิชาวิศวกรรมขนส่ง คณะวิศวกรรมศาสตร์ มหาวิทยาลัยขอนแก่น
  • Surat Pramualsakdikul อาจารย์ สาขาวิชาวิศวกรรมโยธา คณะวิศวกรรมศาสตร์ มหาวิทยาลัยขอนแก่น
  • Chattichai Waisurasingha ผู้ช่วยศาสตราจารย์ สาขาวิชาวิศวกรรมโยธา คณะวิศวกรรมศาสตร์ มหาวิทยาลัยขอนแก่น


In-depth accident investigation, Crash Zone, Unmanned Aerial Vehicles (UAV)


This article presents an application of Unmanned Aerial Vehicles (UAVs) in road accident data collection in order to investigate the road accident cause and proposes the solutions. Thailand is facing up to road accident problems causing a large number of people die and are injured each year. From the study, the UAV can decrease data collection time and increase safety for the road accident investigation team at the scene. Information obtained from the in-depth crash investigation in conjunction with UAVs provides high accuracy and can be checked.  This can help in the collection of data from the phases of a collision: at collision and post-collision with high accuracy together with the appearance of damage at the scene. Additionally, the data collected from UAV can be imported into the road crash analysis software for reconstructing and simulating an accident leading to the analysis of the cause of the accident. Images from UAV can be viewed in various directions that can assist the investigation team in the cause analysis.


United Nations. The Sustainable Development Goals Report 2016. Department of Economic and Social Affairs (DESA): New York, USA. 2016.

Sumalee A. Smart City: Developing and deploying IT systems in urban management. Bangkok: King Prajadhipok's Institute; 2015. Thai.

World Health Organization (WHO). Global Status Report on Road safety 2018. Geneva: World Health Organization; 2018.

Office of Transport and Traffic Policy and Planning (OTP). Action Plan Study for Road Accident Reduction. Khon Kaen: Khon Kaen University, 2018. Thai.

Noon RK. Engineering Analysis of Vehicular Accidents. 1st ed. CRC Press: Washington, D.C. 1994.

The CAD Zone, Inc. The Crime Zone Version 9 User’s Manual. Beaverton: The CAD Zone. 2011. 63 p.

Sala A, Klungboonkrong P. In-depth traffic accident investigation: Case study of the upper northeastern part of Thailand. The 6th Asian Transportation Research Society (ATRANS). Phitsanulok: Naresuan University. 2009; 489-99. Thai.

Chaiyawarn P, Klungboonkrong P. In-depth Accident Investigation in The Northeastern Region, Thailand: Pickup-Truck involved crash case studies. 20th National Convention on Civil Engineering. Chon Buri: Kasetsart University Sriracha Campus. 2015: 234-245. Thai.

Yootmeeboon W, Klungboonkrong P. In-depth Crash Investigation: The Crash Zone Application. 22th National Convention on Civil Engineering. Nakhon Ratchasima: ChokCharoen Marketing. 2018; 385-92. In Thai.

Engineering Dynamic Corporation. EDCRASH Training Manual. Engineering Dynamic Corporation, USA. 1994.

Srinivasan S, Latchman H, Shea J, Wong T, McNair J. Airborne Traffic Surveillance Systems: Video Surveillance of Highway Traffic. Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks, 2004; 131-135.

Coifman B, McCord M, Mishalani R, Iswalt M, Ji Y. Roadway Traffic Monitoring from an Unmanned Aerial Vehicle. IEE Proceedings-Intelligent Transport Systems. 2006; 151(1): 11-20.

Ro K, Oh J S, Dong L. Application of Small UAV for Urban Highway Traffic Monitoring. 45th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada: 2007; 2007-2596.

Peng ZR. Feasibility Study of the Application of Unmanned Aerial Vehicles Transportation Applications. 2005; 2012(06): 119-126.

Lee J, Zhong Z, Kim K, Dimitrijevic B, Du B, Gutesa S. Examining the Applicability of Small Quadcopter Drone for Traffic Surveillance and Roadway Incident Monitoring. Transportation Research Board 94thAnnual Meeting. United States. 2015.

Pagounis V, Tsakiri M, Palaskas S, Biza B, Zaloumi E. 3D Laser Scanning for Road Safety and Accident Reconstruction. XXIII FIG Congress; 2006.

Khan MA, Ectors W, Bellemans T, Janssens D, Wets G. Unmanned aerial vehicle-based traffic analysis: Methodological framework for automated multivehicle trajectory extraction, Transportation Research Record. 2017. 2626(1); 25-33.

Jin JP, Ardestani MS, Wang Y, Hu W. Unmanned Aerial vehicle (UAV) Based Traffic Monitoring and Management. Center for Advanced Infrastructure and Transportation (CAIT). The State University of New Jersey. 2016.

Da Jiang Innovation. Phantom 4: user manual. DJI incorporates HDMI technology, United States. 2017.

3D Mapping Laser [Internet]. 2017 [updated 2019 June 24; cited 2018 Jan 10]. Available from

United States Department of Transportation. Databases and Software. New Jersey Avenue, SE Washington, DC. 2018