Applying Unmanned Aerial Vehicles (UAV) in Traffic Investigation Process

  • Pero ŠkorputEmail author
  • Sadko Mandžuka
  • Martin Gregurić
  • Maja Tonec Vrančić
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 76)


Traffic accident investigations are technical and technological processes which essentially contain two opposed demands. The first demand refers to the need of the shortest clearance time in order to prevent secondary incidents, to bring back traffic to its full operative capacity and to completely normalize the traffic flow. The second demand refers to investigation as an act which purpose is to determine the elements of criminal offense of causing a traffic accident or a traffic offense. The investigation today, in time context, is a depended process that requires relatively longer time period to gather evidence, make necessary measurements, describe traces etc. In this paper will be shown the possibilities of digitalization and three-dimensional (3D) modelling of traffic accident sight. Innovative technologies will be described, such as making three-dimensional (3D) models of the actual place where traffic accident happened, using Unmanned Aerial Vehicle (UAV) and photogrammetric procedures.


Digitalization UAV Investigation Traffic accident 3D model 



The research presented in this paper is supported with NATIONAL ROAD TRAFFIC SAFETY PROGRAM OF THE REPUBLIC OF CROATIA 2011–2020, through the project: “Application of innovative support technologies for traffic accidents investigations”. This paper is based on presentation Digitalization of Traffic Accident Investigation Processes [6].


  1. 1.
    Mohammed, F., Idries, A., Mohamed, N., Al-Jaroodi, J., Jawhar, I.: UAVs for smart cities: opportunities and challenges. In: International Conference on Unmanned Aircraft Systems (ICUAS), pp. 267–273 (2014)Google Scholar
  2. 2.
    Škrinjar, J.P., Škorput, P., Furdić, M.: Application of unmanned aerial vehicles in logistic processes. In: International Conference “New Technologies, Development and Applications”, pp. 359–366. Springer, Cham (2018)Google Scholar
  3. 3.
    Floreano, D., Wood, R.J.: Science, technology and the future of small autonomous drones. Nature 521(7553), 460–466 (2015)CrossRefGoogle Scholar
  4. 4.
    Škorput, P., Mandžuka, S., Vojvodić, H.: The use of unmanned aerial vehicles for forest fire monitoring. In: Proceedings of 58th International Symposium ELMAR-2016, pp. 93–96 (2016)Google Scholar
  5. 5.
    Škorput, P., Mandžuka, S., Jelušić, N.: Real-time detection of road traffic incidents. PROMET-Traffic Transp. 22(4), 273–283 (2010)CrossRefGoogle Scholar
  6. 6.
    Škorput, S., Mandžuka, S., Gregurić, M.: Digitalization of traffic accident investigation processes. In: Proceedings of 11th International Conference DKU-2018 (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Pero Škorput
    • 1
    Email author
  • Sadko Mandžuka
    • 1
  • Martin Gregurić
    • 1
  • Maja Tonec Vrančić
    • 1
  1. 1.Faculty of Traffic and Transport SciencesZagrebCroatia

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