Abstract
This paper presents a unique formulation and concept of the dynamic object effect on constant objects, such as buildings, dealing with visibility problems in 3D urban environments. Dynamic objects in a 3D urban environment, such as cars, pedestrians and trees, are usually omitted from visibility analysis. In order to challenge this problem, we focus on modeling predicting and estimating dynamic objects’ future location in the environment. We integrate all these factors into our visibility analysis and create a probabilistic visibility analysis, changed over time due to the dynamic character of these objects.
Our probabilistic visibility concept takes into account 3D boxes and cylinders, generating a fast and exact analytic solution to dynamic and static objects; to illustrate our concept, we use web-cameras located at constant points in the treated environments in order to update our model in each time period from web source data and to analyze the environment. Dynamic objects prediction is based on validated models for driver behavior; pedestrians’ walking routes, trees’ displacement and wind effect. A real urban environment with dynamic objects approximated by 3D boxes and cylinders demonstrates our approach.
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References
Archer, J.: Methods for the Assessment and Prediction of Traffic Safety at Urban Intersections and their Application in Micro-simulation Modeling, Centre for Traffic Simulation Research, CTR, Sweden. Technical Report (2010)
Doytsher, Y., Shmutter, B.: Digital Elevation Model of Dead Ground. In: Symposium on Mapping and Geographic Information Systems (Commission IV of the International Society for Photogrammetry and Remote Sensing), Athens, Georgia, USA (1994)
Durand, F.: 3D Visibility: Analytical Study and Applications. PhD thesis, Universite Joseph Fourier, Grenoble, France (1999)
Fellendorf, M., Vortisch, P.: Validation of the Microscopic Traffic Flow Model VISSIM in Different Real world Situations. In: 79th Annual Meeting of Transportation Research Board, UK (2001)
De Floriani, L., Magillo, P.: Visibility Algorithms on Triangulated Terrain Models. International Journal of Geographic Information Systems 8, 13–41 (1994)
Franklin, W.R., Ray, C.: Higher isn’t Necessarily Better: Visibility Algorithms and Experiments. In: Waugh, T.C., Healey, R.G. (eds.) Advances in GIS Research: Sixth International Symposium on Spatial Data Handling, pp. 751–770. Taylor & Francis, Edinburgh (1994)
Franklin, W.R.: Siting Observers on Terrain. In: Proc. of 10th International Symposium on Spatial Data Handling, pp. 109–120. Springer (2002)
Gal, O., Doytsher, Y.: Fast and Accurate Visibility Computation in a 3D Urban Environment. In: Proc. of the Fourth International Conference on Advanced Geographic Information Systems, Applications, and Services, Valencia, pp. 105–110 (2012)
Hoogendoorn, S.P., Bovy, P.H.L.: Pedestrian route-choice and activity scheduling theory and models. Transportation Research Part B 38, 169–190 (2004)
Hu, X., Tao, W., Guo, Y.: Using FEM to predict tree motion in a wind field. Journal of Zhejiang University, Science A 9(7), 907–915 (2008)
Nadler, B., Fibich, G., Lev-Yehudi, S., Cohen-Or, D.: A Qualitative and Quantitative Visibility Analysis in Urban Scenes. Computers & Graphics 5, 655–666 (1999)
Make3D, http://make3d.cs.cornell.edu
PictoGraph, http://palentier.blogsopt.co.il/2011/11/3d-prehistoric-pictograph-printing.html
Park, B., Schneeberger, J.D.: Microscopic Simulation Model Calibration and Validation: Case Study of VISSIM Simulation Model for a Coordinated Actuated Signal System, Transportation Research Record 1856 , Paper No. 03-2531
Plantinga, H., Dyer, R.: Visibility, Occlusion, and Aspect Graph. The International Journal of Computer Vision 5, 137–160 (1990)
Parker, D., Lajunen, T.: Are Aggressive People Aggressive Drivers? A Study of the Relationship between Self-Reported General Aggressiveness Driver Anger and Aggressive Driving. Accident Analysis and Prevention 33(2), 243–255 (2001)
Ratti, C.: The Lineage of Line: Space Syntax Parameters from the Analysis of Ur-ban DEMs. Environment and Planning B: Planning and Design 32, 547–566 (2005)
Song, Y.: The research of a new Auto Target Recognition directed Image compression. In: 3rd Int. Congress on Image and Signal Processing (CISP), China, October 16-18 (2010)
Saxena, A., Sun, M., Ng, A.Y.: Make3D: Learning 3D Scene Structure from a Single Still Image. IEEE Transaction on Pattern Analysis and Machine Intelligence, PAMI (2008)
3D Studio Max, http://usa.autodesk.com/3ds-max
Wiedemann, R., Reiter, U.: Microscopic Traffic Simulation: The Simulation System MISSION, Background and Actual State. Project ICARUS (V1052), Final Report, Brussels CEC.2: Appendix A (1992)
Wang, J., Robinson, G.J., White, K.: A Fast Solution to Local Viewshed Computation Using Grid-based Digital Elevation Models. Photogrammetric Engineering & Remote Sensing 62, 1157–1164 (1996)
Wang, J., Robinson, G.J., White, K.: Generating Viewsheds without Using Sightlines. Photogrammetric Engineering & Remote Sensing 66, 87–90 (2000)
Zlatanova, S., Rahman, A., Wenzhong, S.: Topology for 3D Spatial Objects. In: International Symposium and Exhibition on Geoinformation, pp. 22–24 (2002)
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Gal, O., Doytsher, Y. (2013). Dynamic Objects Effect on Visibility Analysis in 3D Urban Environments. In: Liang, S.H.L., Wang, X., Claramunt, C. (eds) Web and Wireless Geographical Information Systems. W2GIS 2013. Lecture Notes in Computer Science, vol 7820. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37087-8_11
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DOI: https://doi.org/10.1007/978-3-642-37087-8_11
Publisher Name: Springer, Berlin, Heidelberg
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