DMCA
Benchmark Analysis (1994)
| Venue: | of MCNP ENDF/B-VI Iron”, LA-12884, Los Alamos National Laboratory |
| Citations: | 3 - 0 self |
BibTeX
@INPROCEEDINGS{Hendricks94benchmarkanalysis,
author = {Michael D. Hendricks and Robert D. Franzosa and Professor Of Mathematics and D. Hendricks},
title = {Benchmark Analysis},
booktitle = {of MCNP ENDF/B-VI Iron”, LA-12884, Los Alamos National Laboratory},
year = {1994}
}
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Abstract
Wayfinders typically travel in dynamic environments where barriers and requirements change over time. In many cases, uncertainty exists about the future state of this changing environment. Current geographic information systems lack tools to assist wayfinders in understanding the travel possibilities and path selection options in these dynamic and uncertain settings. The goal of this research is a better understanding of the impact of dynamic and uncertain environments on wayfinding travel possibilities. An integrated spatio-temporal framework, populated with barriers and requirements, models wayfinding scenarios by generating four travel possibility partitions based on the wayfinder's maximum travel speed. Using these partitions, wayfinders select paths to meet scenario requirements. When uncertainty exists, wayfinders often cannot discern the future state of barriers and requirements. The model to address indiscemibility employs a threevalued logic to indicate accessible space, inaccessible space, and possibly inaccessible space. Uncertain scenarios generate up to fifteen distinct travel possibility categories. These fifteen categories generalize into three-valued travel possible partitions based on where travel can occur and where travel is successful. Path selection in these often-complex environments is explored
Keyphrases
benchmark analysis inaccessible space future state travel possibility three-valued travel possible partition fifteen category uncertainty exists often-complex environment uncertain environment many case uncertain scenario integrated spatio-temporal framework path selection option path selection distinct travel possibility category dynamic environment travel possibility partition maximum travel speed scenario requirement uncertain setting threevalued logic accessible space
