{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T16:39:53Z","timestamp":1743093593310,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":9,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642239373"},{"type":"electronic","value":"9783642239380"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-3-642-23938-0_20","type":"book-chapter","created":{"date-parts":[[2011,9,12]],"date-time":"2011-09-12T00:40:55Z","timestamp":1315788055000},"page":"191-200","source":"Crossref","is-referenced-by-count":2,"title":["Swarm-Based Multi-agent Simulation: A Case Study of Urban Traffic Flow in the City of Wroclaw"],"prefix":"10.1007","author":[{"given":"Dariusz","family":"Kr\u00f3l","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maciej","family":"Mro\u017cek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"6","key":"20_CR1","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1016\/j.trc.2008.03.002","volume":"16","author":"D. Teodorovic","year":"2008","unstructured":"Teodorovic, D.: Swarm intelligence systems for transportation engineering: Principles and applications. Transportation Research Part C: Emerging Technologies\u00a016(6), 651\u2013667 (2008), doi:10.1016\/j.trc.2008.03.002","journal-title":"Transportation Research Part C: Emerging Technologies"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Alves, D., van Ast, J., Cong, Z., De Schutter, B., Babuska, R.: Ant Colony Optimization for Traffic Dispersion Routing. In: 13th International IEEE Conference on Intelligent Transportation Systems, pp. 683\u2013688 (2010), doi:10.1109\/ITSC.2010.5625146","DOI":"10.1109\/ITSC.2010.5625146"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Kurihara, S., Tamaki, H., Numao, M., Yano, J., Kagawa, K., Morita, T.: Traffic Congestion Forecasting based on Pheromone Communication Model for Intelligent Transport Systems. In: IEEE Congress on Evolutionary Computation, pp. 2879\u20132884 (2009), doi:10.1109\/CEC.2009.4983304","DOI":"10.1109\/CEC.2009.4983304"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Ando, Y., Fukazawa, Y., Masutani, O., Iwasaki, H., Honiden, S.: Performance of pheromone model for predicting traffic congestion. In: 5th International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 73\u201380 (2006), doi:10.1145\/1160633.1160642","DOI":"10.1145\/1160633.1160642"},{"issue":"1","key":"20_CR5","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1049\/iet-its.2009.0022","volume":"4","author":"W. Narzt","year":"2010","unstructured":"Narzt, W., Wilflingseder, U., Pomberger, G., Kolb, D., Hortner, H.: Self-organising congestion evasion strategies using ant-based pheromones. Intelligent Transport Systems\u00a04(1), 93\u2013102 (2010), doi:10.1049\/iet-its.2009.0022","journal-title":"Intelligent Transport Systems"},{"issue":"2","key":"20_CR6","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1140\/epjb\/e2009-00438-2","volume":"73","author":"S. Scellato","year":"2010","unstructured":"Scellato, S., Fortuna, L., Frasca, M., G\u00f3mez-Garde\u00f1es, J., Latora, V.: Traffic optimization in transport networks based on local routing. The European Physical Journal B\u00a073(2), 303\u2013308 (2010) doi:10.1140\/epjb\/e2009-00438-2","journal-title":"The European Physical Journal B"},{"issue":"3","key":"20_CR7","doi-asserted-by":"crossref","first-page":"221","DOI":"10.3233\/IFS-2010-0453","volume":"21","author":"D. Kr\u00f3l","year":"2010","unstructured":"Kr\u00f3l, D., Dro\u017cd\u017cowski, M.: Use of MaSE methodology for designing a swarm-based multi-agent system. J. of Intelligent & Fuzzy Systems\u00a021(3), 221\u2013231 (2010), doi:10.3233\/IFS-2010-0453","journal-title":"J. of Intelligent & Fuzzy Systems"},{"key":"20_CR8","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1007\/978-3-642-04441-0_58","volume-title":"Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems","author":"D. Kr\u00f3l","year":"2009","unstructured":"Kr\u00f3l, D., Popiela, \u0141.: Modelling Shortest Path Search Techniques by Colonies of Cooperating Agents. In: Nguyen, N.T., Kowalczyk, R., Chen, S.-M. (eds.) ICCCI 2009. LNCS (LNAI), vol.\u00a05796, pp. 665\u2013675. Springer, Heidelberg (2009)"},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Renfrew, D., Yu, X.H.: Traffic Signal Control with Swarm Intelligence. In: 5th International Conference on Natural Computation, pp. 79\u201383 (2009), doi:10.1109\/ICNC.2009.653","DOI":"10.1109\/ICNC.2009.653"}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence. Technologies and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-23938-0_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,23]],"date-time":"2020-06-23T16:41:57Z","timestamp":1592930517000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-23938-0_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642239373","9783642239380"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-23938-0_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}