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Sebastian Senge
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2010 – 2019
- 2014
- [b1]Sebastian Senge:
Ein Bienen-inspiriertes Schwarmintelligenz-Verfahren zum Routing im Straßenverkehr. Carl von Ossietzky University of Oldenburg, 2014 - 2013
- [j1]Horst F. Wedde, Sebastian Senge:
BeeJamA: A Distributed, Self-Adaptive Vehicle Routing Guidance Approach. IEEE Trans. Intell. Transp. Syst. 14(4): 1882-1895 (2013) - [c10]Sebastian Senge, Horst F. Wedde:
Marginal cost pricing and multi-criteria routing in a distributed swarm-intelligence approach for online vehicle guidance. ITSC 2013: 1396-1401 - [c9]Sebastian Senge:
Assessment of path reservation in distributed real-time vehicle guidance. Intelligent Vehicles Symposium 2013: 94-99 - [i1]Sebastian Senge:
Assessment of Path Reservation in Distributed Real-Time Vehicle Guidance. CoRR abs/1304.6360 (2013) - 2012
- [c8]Sebastian Senge, Horst F. Wedde:
Bee-Inpired Road Traffic Control as an Example of Swarm Intelligence in Cyber-Physical Systems. EUROMICRO-SEAA 2012: 258-265 - [c7]Sebastian Senge, Horst F. Wedde:
2-Way evaluation of the distributed BeeJamA vehicle routing approach. Intelligent Vehicles Symposium 2012: 205-210 - [c6]Sebastian Senge, Horst F. Wedde:
Minimizing Vehicular Travel Times Using the Multi-Agent System BeeJamA. PROFES 2012: 335-349 - 2011
- [c5]Horst F. Wedde, Sebastian Senge, Tim Lohmann, Fabian Knobloch:
Towards hybrid simulation of self-organizing and distributed vehicle routing in large traffic systems. BMEI 2011: 2313-2321
2000 – 2009
- 2009
- [c4]Sebastian Senge, Sebastian Lehnhoff, Anca M. Lazarescu:
Bienen-inspiriertes Straßenverkehrsrouting. Echtzeit 2009: 57-66 - [c3]Horst F. Wedde, Sebastian Lehnhoff, Sebastian Senge, Anca M. Lazarescu:
Bee Inspired Bottom-Up Self-Organization in Vehicular Traffic Management. SASO 2009: 278-279 - 2007
- [c2]Horst F. Wedde, Sebastian Lehnhoff, Bernhard van Bonn, Zeynep Bay, Sven Becker, Sven Böttcher, Christian Brunner, Armin Büscher, Thomas Fürst, Anca M. Lazarescu, Elisei Rotaru, Sebastian Senge, Bastian Steinbach, Funda Yilmaz, Thomas Zimmermann:
A novel class of multi-agent algorithms for highly dynamic transport planning inspired by honey bee behavior. ETFA 2007: 1157-1164 - [c1]Horst F. Wedde, Sebastian Lehnhoff, Bernhard van Bonn, Zeynep Bay, Sven Becker, Sven Böttcher, Christian Brunner, Armin Büscher, Thomas Fürst, Anca M. Lazarescu, Elisei Rotaru, Sebastian Senge, Bastian Steinbach, Funda Yilmaz, Thomas Zimmermann:
Highly Dynamic and Adaptive Traffic Congestion Avoidance in Real-Time Inspired by Honey Bee Behavior. PEARL 2007: 21-31
Coauthor Index
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