![]() |
GI_Forum 2014, Volume 2Geospatial Innovation for Society – Conference Proceedings
|
![]() |
Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
|
||||||||||||||||||||
|
DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
|

GI_Forum 2014, Volume 2, pp. 155-164, 2014/06/20
Geospatial Innovation for Society – Conference Proceedings
Optimal paths in networks are determined by costs attached to nodes and edges. However, these costs are uncertain. The question raised in this paper is how to determine the effect that this uncertainty has on the optimal path, i.e., the spatial distribution of the optimal path. The method used is Monte Carlo Simulation. The simulation was done for the road network of Vienna. Travel time serves a cost function and the temporal distribution of travel time is derived from floating car data. The experiment shows that typically several different paths are possible with similar travel times.