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Uporaba prostorske statistike za določevanje zgostitev prometnih nesreč
ID Lipar, Peter (Author), ID Kostanjšek, Jure (Author), ID Žura, Marijan (Author)

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PID: 20.500.12556/rul/f1bea196-3115-49a1-8d64-edecfc79115f

Abstract
V prispevku predstavljamo prilagojeno metodo za odkrivanje nevarnih odsekov in krajev, ki temelji na uporabi indeksa Getis-Ord G*. Od klasične metode se razlikuje v tem, da poleg teže nezgod upoštevamo prometne obremenitve na kraju nezgode. Metoda je bila uporabljena na primeru omrežja slovenskih avtocest in hitrih cest. Prikazani so rezultati analiz z upoštevanjem prometnih obremenitev in brez njih oziroma primerjava z metodama določanja gostote jeder in lokalnega Anselin-Moranovega indeksa.

Language:Unknown
Keywords:cestnoprometne nezgode, črne točke, prostorska statistika
Work type:Not categorized
Organization:FGG - Faculty of Civil and Geodetic Engineering
Publisher:Zveza geodetov Slovenije
Year:2010
Number of pages:61-69
Numbering:54
PID:20.500.12556/RUL-68403 This link opens in a new window
ISSN:0351-0271
Publication date in RUL:10.07.2015
Views:3234
Downloads:632
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Secondary language

Language:Unknown
Title:Identification of Road Accident Hot Spots Using Spatial Statistics
Abstract:
In the paper the results of the research on the complete automation of the relative orientation of a stereo pair is presented. The theoretical background needed for understanding this topic is described and the results of testing the algorithms with real data are presented. In general, the relative orientation procedure consists of three phases: input data acquisition, computation of relative orientation parameters and estimation of observation errors. In the process of the complete relative orientation automation, the key step is the automation of homologous points acquisition in the stereo area. In the tests presented, the homologous points were acquired with different methods: manually semi-automatically and fully automatically. The results of the computed relative orientation parameters have been compared. It has been concluded that the automation of the relative orientation procedure is successful. and reliable if the control of the observation errors estimation is built into the procedure, and, especially, we get the results faster than with the manual or semi-automated method.

Keywords:road traffic accidents, black spots, spatial statistics

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