Authors:
Sirvan Khalighi
1
;
Somayeh Maabi
1
;
Mercedeh Sanjabi
1
and
Ali Jahanian
2
Affiliations:
1
Islamic Azad University, Iran, Islamic Republic of
;
2
Shahid Beheshti University, Iran, Islamic Republic of
Keyword(s):
Landmark-based car navigation, Wireless sensor networks (WSN), Multi-agent environment.
Related
Ontology
Subjects/Areas/Topics:
Agent Communication Languages
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Autonomous Systems
;
Cooperation and Coordination
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Mobile Agents
;
Multi-Agent Systems
;
Physical Agents
;
Privacy, Safety and Security
;
Robot and Multi-Robot Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
Intelligent car navigation systems are planned to assist humans and route them automatically in the roads with sufficient security and correctness. Landmark-based car navigation is a widely used technique in automotive and robot navigation. In this paper, we improved a wireless landmark-based car navigation (WLCN) algorithm to operate in multi-agent (MA) environments. The extended navigation algorithm allows the cars to overtake in uni-directional real roads. Overtaking is based on the information which the cars send to each other in the road. According to this information and using a related algorithm, cars traverse each other. Analysis of accuracy and efficiency in various states, real-time RISC-based embedded system especially for high speed movements in real roads show that, the cars are navigated easily and reliable in multi-agent environments and they can successfully do overtake. In addition to reliable navigating, calculation cost of the algorithm is acceptable for real world
scenarios.
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