Using Neural Gas Networks in Traffic Navigation
Year: 2009
Type: article
Abstract: The quality of navigation methods for mobile means depends first of all on description accuracy of their movement in a given area. This paper deals with Neural Gas (NG) networks whose role is creating of topologies for complex objects as for instance road networks of municipal communications where it is necessary to determine relations among individual elements (in our case a network of mutually interconnected communication nodes), too. The proposed approach combines besides NG networks also tree search algorithms, namely A*, hereby enabling to consider also various restraints, e.g. traffic rules, too. The performance of the proposed algorithm is shown on the road network of the city Kosice in Slovakia.
Source: Acta Technica Jaurinensis
Author: Ján Vaščák
Institution: Technical University of Košice
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2733480689