Evaluation of a self-organizing ambient intelligence based traffic system

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  • user warning: Table 'cache_filter' is marked as crashed and should be repaired query: UPDATE cache_filter SET data = '<h1 class=\"rtecenter\">&nbsp;</h1>\n<h1 class=\"rtecenter\"><strong>Evaluation of a self-organizing ambient intelligence based traffic system</strong></h1>\n<p class=\"rtecenter\"><a href=\"http://www.fim.uni-passau.de/en/fim/faculty/chairs/computer-networks-and-communications/people/team/prof-de-meer.html\">Hermann de Meer</a> and Richard Holzer, University of Passau</p>\n<h2>Abstract:</h2>\n<p>For increasing safety in traffic, ambient intelligence (AmI) devices can be used in vehicles to assist the drivers actions. Modern vehicle communications technologies will allow drivers to be alerted much sooner to an accident, and voluntarily take actions to ensure smoother and safer traffic flow without any assistance from the road infrastructure. Quantitative measures can be used for the design, analysis and optimization of such systems with respect to the overall goal to maximize safety in the traffic scenario.</p>\n<p>The results presented in this talk refer to SOCIONICAL, an European integrated project, on self-organization by use of AmI technology.</p>\n<h2>References:</h2>\n<p>1. <a href=\"https://mail.google.com/mail/?ui=2&amp;ik=1e6b9cc695&amp;view=att&amp;th=136d500665ed6a53&amp;attid=0.1&amp;disp=safe&amp;realattid=f_h1aod7me0&amp;zw\">Tutorial</a></p>\n<p>2. <a href=\"http://mail.google.com/mail/?ui=2&amp;ik=1e6b9cc695&amp;view=att&amp;th=136d500665ed6a53&amp;attid=0.2&amp;disp=safe&amp;realattid=f_h1aod7mj1&amp;zw\">Methods for Approximations of Quantitative Measures in Self-Organizing Systems</a></p>\n<h2>Slides of the talk:</h2>\n<p>Can be found here: <a target=\"_blank\" href=\"http://pespmc1.vub.ac.be/ECCO/Seminars/deMeer-TrafficIntelligence.ppt\">http://pespmc1.vub.ac.be/ECCO/<wbr></wbr>Seminars/deMeer-<wbr></wbr>TrafficIntelligence.ppt</a></p>\n<p>&nbsp;</p>\n<p>&nbsp;</p>\n<p>&nbsp;</p>\n', created = 1638617340, expire = 1638703740, headers = '', serialized = 0 WHERE cid = '2:2f4727748ccd7e2f0bff4f9c73f061de' in /home2/secrecco/www/includes/cache.inc on line 109.

 

Evaluation of a self-organizing ambient intelligence based traffic system

Hermann de Meer and Richard Holzer, University of Passau

Abstract:

For increasing safety in traffic, ambient intelligence (AmI) devices can be used in vehicles to assist the drivers actions. Modern vehicle communications technologies will allow drivers to be alerted much sooner to an accident, and voluntarily take actions to ensure smoother and safer traffic flow without any assistance from the road infrastructure. Quantitative measures can be used for the design, analysis and optimization of such systems with respect to the overall goal to maximize safety in the traffic scenario.

The results presented in this talk refer to SOCIONICAL, an European integrated project, on self-organization by use of AmI technology.

References:

1. Tutorial

2. Methods for Approximations of Quantitative Measures in Self-Organizing Systems

Slides of the talk:

Can be found here: http://pespmc1.vub.ac.be/ECCO/Seminars/deMeer-TrafficIntelligence.ppt