An Organic Computing Approach to Resilient Traffic Management-Reference-Cited by-同舟云学术

An Organic Computing Approach to Resilient Traffic Management

Published:2016 Issue: Volume: Page:113-130
ISSN:
Container-title:Autonomic Road Transport Support Systems
language:
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Author:

Sommer Matthias,Tomforde Sven,Hähner Jörg

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-25808-9_7

Reference42 articles.

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2. Ando, Y., et al.: Pheromone model: application to traffic congestion prediction. In: Engineering Self-Organising Systems – Third International Workshop (ESOA 2005). Lecture Notes in Artificial Intelligence, vol. 3910, pp. 182–196. Springer, Berlin (2006)

3. Barceló, J.: GETRAM/AIMSUN: a software environment for microscopic traffic analysis. In: Proceedings of the Workshop on Next Generation Models for Traffic Analysis, Monitoring and Management, held in Tucson (USA) in Sept 2001 (2001)

4. Becker, C., Hähner, J., Tomforde, S.: Flexibility in organic systems - remarks on mechanisms for adapting system goals at runtime. In: Proceedings of ICINCO 2012, pp. 287–292 (2012)

5. Bielefeldt, C., Condie, H.: COSMOS – Congestion Management Strategies and Methods in Urban Sites. Final report, The MVA Consultancy (1999)

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