Using Knowledge to Isolate Search in Route Finding
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Action and Perception. Pages 119-124.
Abstract
Traveling is a part of every person's day-to-day life. With the massive and complicated road network of a modem city (or country), fmding a good route to travel from one place to another is not a simple task. In Network Theory, this is the shortest path problem. Shortest path algorithms are often used to solve the problem. However, these algorithms are wasteful in terms of computation when applied to the route fmding task. They may also produce solutions that are not suitable for human drivers. In this paper, we present an approach that uses knowledge about the road network to substantially reduce the time and space required in computation, and to ensure human oriented solutions. Within this framework, three alternative methods are proposed, which may be used in different situations. A system has also been implemented for route fmding in Singapore.
@inproceedings{ijcai1995p16,
title = {Using Knowledge to Isolate Search in Route Finding},
author = {Liu, Bing},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {119--124},
year = {1995},
note = {Action and Perception},
url = {https://ijcai.org/proceedings/1995/16},
}
TY - CPAPER TI - Using Knowledge to Isolate Search in Route Finding AU - Liu, Bing T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 119 EP - 124 UR - https://ijcai.org/proceedings/1995/16 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: