BeeJamA: A distributed, self-adaptive vehicle routing guidance approach HF Wedde, S Senge IEEE Transactions on Intelligent Transportation Systems 14 (4), 1882-1895, 2013 | 36 | 2013 |
Highly dynamic and adaptive traffic congestion avoidance in real-time inspired by honey bee behavior HF Wedde, S Lehnhoff, B van Bonn, Z Bay, S Becker, S Böttcher, ... Mobilität und Echtzeit: Fachtagung der GI-Fachgruppe Echtzeitsysteme (real …, 2008 | 32 | 2008 |
A novel class of multi-agent algorithms for highly dynamic transport planning inspired by honey bee behavior HF Wedde, S Lehnhoff, B van Bonn, Z Bay, S Becker, S Bottcher, ... 2007 IEEE Conference on Emerging Technologies and Factory Automation (EFTA …, 2007 | 29 | 2007 |
Bee-inpired road traffic control as an example of swarm intelligence in cyber-physical systems S Senge, HF Wedde 2012 38th Euromicro Conference on Software Engineering and Advanced …, 2012 | 16 | 2012 |
Bee inspired online vehicle routing in large traffic systems H Wedde, S Senge, S Lehnhoff, F Knobloch, T Lohmann, R Niehage, ... Proceedings of the second international conference on adaptive and self …, 2010 | 15 | 2010 |
2-Way evaluation of the distributed BeeJamA vehicle routing approach S Senge, HF Wedde 2012 IEEE Intelligent Vehicles Symposium, 205-210, 2012 | 13 | 2012 |
Minimizing vehicular travel times using the multi-agent system beejama S Senge, HF Wedde Product-Focused Software Process Improvement: 13th International Conference …, 2012 | 6 | 2012 |
Bee inspired bottom-up self-organization in vehicular traffic management HF Wedde, S Lehnhoff, S Senge, AM Lazarescu 2009 Third IEEE International Conference on Self-Adaptive and Self …, 2009 | 5 | 2009 |
Ein Bienen-inspiriertes Schwarmintelligenz-Verfahren zum Routing im Straßenverkehr (PhD Thesis) S Senge Universität Oldenburg, 2014 | 3 | 2014 |
Marginal cost pricing and multi-criteria routing in a distributed swarm-intelligence approach for online vehicle guidance S Senge, HF Wedde 16th International IEEE Conference on Intelligent Transportation Systems …, 2013 | 3 | 2013 |
Assessment of path reservation in distributed real-time vehicle guidance S Senge 2013 IEEE Intelligent Vehicles Symposium (IV), 94-99, 2013 | 3 | 2013 |
Towards hybrid simulation of self-organizing and distributed vehicle routing in large traffic systems HF Wedde, S Senge, T Lohmann, F Knobloch 2011 4th International Conference on Biomedical Engineering and Informatics …, 2011 | 2 | 2011 |
Bienen-inspiriertes Straßenverkehrsrouting S Senge, S Lehnhoff, AM Lazarescu Software-intensive verteilte Echtzeitsysteme: Fachtagung des GI/GMA …, 2009 | | 2009 |
Stauvermeidung durch on-line Verkehrsplanung STOP Z Bay, S Becker, S Böttcher, C Brunner, A Büscher, T Fürst, AM Lazarescu, ... | | 2008 |
Highly Dynamic and Adaptive TrTaffic Congestion AvAoidance in Real-Time Inspired by Honey Bee Behavior S Böttcher, C Brunner, A Büscher, T Fürst, AM Lazarescu, E Rotaru, ... Mobilität und Echtzeit: Fachtagung der GI-Fachgruppe Echtzeitsysteme (real …, 2007 | | 2007 |
Highly dynamic and adaptive traffic congestion avoidance in real-time inspired by honey bee behavior HF Wedde, S Lehnhoff, B Bonn, Z Bay, S Becker, S Böttcher, C Brunner, ... Mobilität und Echtzeit, 21-31, 2007 | | 2007 |
Bee Inspired Bottom-Up Self-Organization in Vehicular Traffic Management S Lehnhoff, S Senge | | |
A novel class of multi-agent algorithms for highly dynamic transport planning inspired by honey bee behavior S Lehnhoff, B van Bonn, S Senge | | |
Endbericht PG 502 Z Bay, S Becker, T Fürst, AM Lazarescu, E Rotaru, S Senge, B Steinbach, ... | | |