Large number of autonomous robot solutions exists for various missions and domains. These robots are sufficient for the missions they are built for. At the same time each of them has limited functional and physical capabilities. Multi agent systems can be used to remove these limits. However it is true only in case when the system ensures effective interaction among the robots i.e. enables their social behavior. Usually it is hard to implement such capabilities directly into robots due to functional and physical limitations and heterogeneity of the team. One of possible solutions is to implement a behavior sensors management for the robots. [1] It should collect events, allocate subtasks to specific robots and monitor the execution of the assigned tasks. In order to avoid inherent drawback of fully centralized systems a significant level of autonomy has to be preserved. Intelligent agents fulfill these requirements. Therefore we propose a multi-agent system’s architecture for safe road application with GPS tool. It can be used to control the car speed and to adjust it in case of danger.
Published in | American Journal of Remote Sensing (Volume 4, Issue 1) |
DOI | 10.11648/j.ajrs.20160401.11 |
Page(s) | 1-8 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2016. Published by Science Publishing Group |
Multi-Agent, Agent, GPS, Speed Limit Value, Car Speed Value, Thread, Road Speed Board, Speed Sensor
[1] | Multi-Agent Robotic System Architecture for Effective Task Allocation and Management Egons Lavendelis, Aleksis Liekna, Agris Nikitenko, Arvids Grabovskis and Janis Grundspenkis Department of Systems Theory and Design Riga Technical University. |
[2] | Improving the response to road death and injury Road Peace conference (April 2008) by Brigitte Chaudhry MBE, Founder & President of Road Peace. |
[3] | Road Traffic Accidents Increase Dramatically Worldwide (March 2006) by Heidi Worley. |
[4] | ROAD TRAFFIC ACCIDENT: A LEADING CAUSE OF THE GLOBAL BURDEN OF PUBLIC HEALTH INJURIES AND FATALITIES by Shahnewaz Rabbi. |
[5] | GPS Trajectory Feature Extraction for Driver Risk Profiling by Johannes Paefgen, Florian Michahelles and Thorsten Staake. |
[6] | Vehicle speed estimation using GPS/RISS (Reduced Inertial Sensor System) by O'Kane, T. and Ringwood, J.V. (June 2013) |
[7] | AUGMENTING GPS SPEED LIMIT MONITORING WITH ROAD SIDE VISUAL INFORMATION by M.L. Eichner, T.P. Breckon. |
[8] | Improvement of multisensor fusion in speed limit determination by quantifying navigation reliability by A.- S. Puthon, Fawzi Nashashibi and Benazouz Bradai. |
[9] | Continuing Research in Multi-Agent Systems by K. Decker, M. Fisher, M. Luck, M. Tennenholtz, and UKMAS Contributorsy. |
[10] | Progress in Multi-Agent Systems Research by Omer Rana, Chris Preist, Michael Luck (March 2000). |
[11] | Research and Implementation of Multi- agent Based Test Paper Generation Algorithm by Wang Hairui (December 2008). |
[12] | Conference Paper Multi-Agent Robotic System Architecture for Effective Task Allocation and Management by Egons Lavendelis, Aleksis Liekna, Agris Nikitenko, Arvids Grabovskis and Janis Grundspenkis. |
APA Style
Abdellah Redjaimia, Ghomrani Mohammed El Amine. (2016). Multi-Agent Robot System and Events Executing Using GPS Cloud. American Journal of Remote Sensing, 4(1), 1-8. https://doi.org/10.11648/j.ajrs.20160401.11
ACS Style
Abdellah Redjaimia; Ghomrani Mohammed El Amine. Multi-Agent Robot System and Events Executing Using GPS Cloud. Am. J. Remote Sens. 2016, 4(1), 1-8. doi: 10.11648/j.ajrs.20160401.11
AMA Style
Abdellah Redjaimia, Ghomrani Mohammed El Amine. Multi-Agent Robot System and Events Executing Using GPS Cloud. Am J Remote Sens. 2016;4(1):1-8. doi: 10.11648/j.ajrs.20160401.11
@article{10.11648/j.ajrs.20160401.11, author = {Abdellah Redjaimia and Ghomrani Mohammed El Amine}, title = {Multi-Agent Robot System and Events Executing Using GPS Cloud}, journal = {American Journal of Remote Sensing}, volume = {4}, number = {1}, pages = {1-8}, doi = {10.11648/j.ajrs.20160401.11}, url = {https://doi.org/10.11648/j.ajrs.20160401.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20160401.11}, abstract = {Large number of autonomous robot solutions exists for various missions and domains. These robots are sufficient for the missions they are built for. At the same time each of them has limited functional and physical capabilities. Multi agent systems can be used to remove these limits. However it is true only in case when the system ensures effective interaction among the robots i.e. enables their social behavior. Usually it is hard to implement such capabilities directly into robots due to functional and physical limitations and heterogeneity of the team. One of possible solutions is to implement a behavior sensors management for the robots. [1] It should collect events, allocate subtasks to specific robots and monitor the execution of the assigned tasks. In order to avoid inherent drawback of fully centralized systems a significant level of autonomy has to be preserved. Intelligent agents fulfill these requirements. Therefore we propose a multi-agent system’s architecture for safe road application with GPS tool. It can be used to control the car speed and to adjust it in case of danger.}, year = {2016} }
TY - JOUR T1 - Multi-Agent Robot System and Events Executing Using GPS Cloud AU - Abdellah Redjaimia AU - Ghomrani Mohammed El Amine Y1 - 2016/03/04 PY - 2016 N1 - https://doi.org/10.11648/j.ajrs.20160401.11 DO - 10.11648/j.ajrs.20160401.11 T2 - American Journal of Remote Sensing JF - American Journal of Remote Sensing JO - American Journal of Remote Sensing SP - 1 EP - 8 PB - Science Publishing Group SN - 2328-580X UR - https://doi.org/10.11648/j.ajrs.20160401.11 AB - Large number of autonomous robot solutions exists for various missions and domains. These robots are sufficient for the missions they are built for. At the same time each of them has limited functional and physical capabilities. Multi agent systems can be used to remove these limits. However it is true only in case when the system ensures effective interaction among the robots i.e. enables their social behavior. Usually it is hard to implement such capabilities directly into robots due to functional and physical limitations and heterogeneity of the team. One of possible solutions is to implement a behavior sensors management for the robots. [1] It should collect events, allocate subtasks to specific robots and monitor the execution of the assigned tasks. In order to avoid inherent drawback of fully centralized systems a significant level of autonomy has to be preserved. Intelligent agents fulfill these requirements. Therefore we propose a multi-agent system’s architecture for safe road application with GPS tool. It can be used to control the car speed and to adjust it in case of danger. VL - 4 IS - 1 ER -