Volume List  / Volume 8 (4)

Article

COMPARATIVE ANALYSIS OF THE PARAMETERS OF THE TRAFFIC FLOW USING A VIDEO RECORD OF UNMANNED AERIAL VEHICLES (UAVs)

DOI: 10.7708/ijtte.2018.8(4).02


8 / 4 / 412 - 425 Pages

Author(s)

Tomislav Bubalo - Planinska ulica 33, Sesvete, Croatia -

Darko Bokulić - Faculty of Transport and Traffic Sciences, University of Zagreb,Vukelićeva 4, Zagreb, Croatia -

Josip Lučić - Kuče, braće Radića 3, Velika Gorica, Croatia -


Abstract

Unmanned aircraft is a non-crew aircraft or drone. It can be controlled from the distance or fly alone. A non-pilot aircraft can fly independently using a pre-programmed flight plan or complex autonomous dynamical systems. The development of unmanned aerial vehicles has begun primarily by the army to reduce costs and human casualties. Suffice it to say that the cost of maintaining and making an unmanned aircraft is a tenth of the cost of a modern aircraft. The biggest challenge of modeling is, of course, navigation and positioning of unmanned aerial vehicles, whether it is traffic or civilian use. Following the historical development to date has demonstrated that progress has been made towards the use of unmanned aerial vehicles in transport science. Today, there has been an increase in the number and type of sensors that unloaded aircraft can contain, and thus the spread of their use, primarily in the observation of the roads in the final analysis of the collected data.


Download Article

Number of downloads: 205


References:

AASHTO. 2001. A Policy on Geometric Design of Highways and Streets. American Association of State Highway and Transportation Officials, Washington, D.C., USA.

 

Bertozzi, M.; Broggi, A.; Fascioli, A. 2000. Vision-Based intelligent Vehicles: State of the Art and Perspective, Robotics and Autonomous Systems 32(1): 1-16.

 

Bertozzi, M.; Broggi, A.; Cellario, M.; Fascioli, A.; Lombardi, P.; Porta, M. 2002. Artificial vision in road vehicles, In Proceedings of the IEEE, 90(7): 1258-1271.

 

Bishop, R. 2000. Intelligent Vehicle Applications, Worldwide IEEE Intelligent Systems 15(1): 78-81.

 

Cao, M.; Vu, A.; Barth, M. 2007. A novel omnidirectional vision sensing technique for traffic surveillance, In Proceedings of the IEEE Intelligent Transportation Systems Conference, 678-683.

 

Coifman, B.; McCord, M.; Mishalani, R.; Iswalt, M.; Ji., Y. 2006. Roadway Traffic Monitoring from an Unmanned Aerial Vehicle, In IEE Proceedings-Intelligent Transport Systems, 153(1): 11-20.

 

Dadić, I.; Kos, G.; Ševrović, M. 2014. Theory of traffic flow, textbook. Faculty of transportation and traffic sciences, Zagreb, Croatia.

 

Dickmanns, E. 2002. Vision for ground vehicles: history and prospects, International Journal of Vehicle Autonomous Systems 1(1): 1-44.

 

Edie, L. 1963. Discussion of Traffic Stream Measurements and Definitions. In Proceedings of the 2nd International Symposium on the Theory of Traffic Flow, 139-154.

 

Eisenbeiss, H. 2009. UAV photogrammetry. Doctoral dissertation, ETH Zurich. 203 p. GUP. 2016. General Urban Plan of Sesvete. Department of Spatial Planning of the City of Zagreb, Croatia.

 

Hinz, S.; Bamler, R.; Stilla, U. 2006. Airborne and space-borne traffic monitoring, Journal of Photogrammetry and Remote Sensing 61(3): 135-280.

 

Hinz, S.; Lenhart, D.; Leitloff, J. 2008. Traffic extraction and characterisation from optical remote sensing data, The Photogrammetric Record 23(124): 424-440.

 

Jiang, Z.; McCord, M.; Goel, P. 2006. Improved AADT Estimation by Combining Information in Image- and Ground-based Traffic Data, Journal of Transportation Engineering 132(7): 523-530.

 

Lenhart, D.; Hinz, S.; Leitloff, J.; Stilla, U. 2008. Automatic traffic monitoring based on aerial image sequences, Pattern Recognition and Image Analysis 18(3): 400-405.

 

McCord, M.; Yang, Y.; Jiang, Z.; Coifman, B.; Goel, P. 2003. Estimating AADT from Satellite Imagery and Air Photos: Empirical Results, Transportation Research Record 1855: 136-142.

 

Micchalopoulos, P.G. 1991. Vehicle detection through video image processing AUTOSCOPE System, IEEE Transaction on Vehicular Technology 40(1): 21-29.

 

PHANTOM 4. 2016. Characteristics of unmanned aircraft. Available from internet: http://www.dji.com/phantom-4.

 

Wang, G.; Xiao, D.; Gu, J. 2008. Review on Vehicle Detection Based on Video for Traffic Surveillance, In Proceedings of the IEEE International Conference on Automation and Logistics, 2961-2966.

 

WCO. 2016. Video safety systems. Available from internet: http://webcamsopatija.com/mwp/wp-content/uploads/2016/3tc-video-sigurnosni-sustavi.pdf.


Quoted IJTTE Works



Related Keywords