{"id":{"repo_id":"eastern-wash","oai_identifier":"oai:dc.ewu.edu:theses-1798"},"canonical_url":"https://search.dev.ndltd.org/etd/eastern-wash/oai:dc.ewu.edu:theses-1798","repository":{"repo_id":"eastern-wash","name":"Eastern Washington University","base_url":"https://dc.ewu.edu/do/oai/"},"display":{"title":"Navigation agents and traffic simulation","abstract":"<p>This thesis addresses the development of intelligent navigation agents for traffic simulation. Discussions are made on issues considering the underlying data structure, the algorithms used for the creation of the data structures, the specification of various agents, and their performance. It also includes descriptions of three different types of agents and the analysis of their performance. One agent has full knowledge of the environment and takes the most efficient path in terms of total path distance. This is what the other agents are compared to. The other two agents make navigation decisions based on taking minimum hops or random choice. Performance analysis is given by comparing those types of agent in two cases: single agent and multiple agents. Issues encountered during this study and further extensions are discussed. The conclusion is that the simulator created here is a good start on a tool for evaluation of independent agents for navigation.</p>","abstract_html":"&lt;p&gt;This thesis addresses the development of intelligent navigation agents for traffic simulation. Discussions are made on issues considering the underlying data structure, the algorithms used for the creation of the data structures, the specification of various agents, and their performance. It also includes descriptions of three different types of agents and the analysis of their performance. One agent has full knowledge of the environment and takes the most efficient path in terms of total path distance. This is what the other agents are compared to. The other two agents make navigation decisions based on taking minimum hops or random choice. Performance analysis is given by comparing those types of agent in two cases: single agent and multiple agents. Issues encountered during this study and further extensions are discussed. The conclusion is that the simulator created here is a good start on a tool for evaluation of independent agents for navigation.&lt;/p&gt;","abstract_has_math":false,"creators":["Hunking, Bart"],"institution":null,"degree_name":"Master of Science (MS) in Computer Science","degree_level":"Thesis: EWU Only","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2005,"date_issued":"2005-01-01T08:00:00Z","date_published":"2005-01-01T08:00:00Z","updated_at":"2026-07-24T02:12:46Z","subjects":["Artificial Intelligence and Robotics","Databases and Information Systems"],"languages":[],"rights":["Access perpetually restricted to EWU users with an active EWU NetID"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://dc.ewu.edu/theses/800","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Hunking, Bart"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis: EWU Only"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS) in Computer Science"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Artificial Intelligence and Robotics","Databases and Information Systems"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["Access perpetually restricted to EWU users with an active EWU NetID"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://dc.ewu.edu/theses/800"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>This thesis addresses the development of intelligent navigation agents for traffic simulation. Discussions are made on issues considering the underlying data structure, the algorithms used for the creation of the data structures, the specification of various agents, and their performance. It also includes descriptions of three different types of agents and the analysis of their performance. One agent has full knowledge of the environment and takes the most efficient path in terms of total path distance. This is what the other agents are compared to. The other two agents make navigation decisions based on taking minimum hops or random choice. Performance analysis is given by comparing those types of agent in two cases: single agent and multiple agents. Issues encountered during this study and further extensions are discussed. The conclusion is that the simulator created here is a good start on a tool for evaluation of independent agents for navigation.</p>"]},{"key":"dc:title","label":"Title","values":["Navigation agents and traffic simulation"]}]}],"canonical_facts":{"dc:creator":["Hunking, Bart"],"dc:description.abstract":["<p>This thesis addresses the development of intelligent navigation agents for traffic simulation. Discussions are made on issues considering the underlying data structure, the algorithms used for the creation of the data structures, the specification of various agents, and their performance. It also includes descriptions of three different types of agents and the analysis of their performance. One agent has full knowledge of the environment and takes the most efficient path in terms of total path distance. This is what the other agents are compared to. The other two agents make navigation decisions based on taking minimum hops or random choice. Performance analysis is given by comparing those types of agent in two cases: single agent and multiple agents. Issues encountered during this study and further extensions are discussed. The conclusion is that the simulator created here is a good start on a tool for evaluation of independent agents for navigation.</p>"],"dc:identifier":["https://dc.ewu.edu/theses/800"],"dc:rights":["Access perpetually restricted to EWU users with an active EWU NetID"],"dc:subject":["Artificial Intelligence and Robotics","Databases and Information Systems"],"dc:title":["Navigation agents and traffic simulation"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis: EWU Only"],"thesis:degree_name":["Master of Science (MS) in Computer Science"]},"updated_at":"2026-07-24T02:12:46Z"}