Towards Truly Agent-Based Traffic and Mobility Simulations
M. Balmer, N. Cetin, K. Nagel, and B. Raney. Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1, page 60--67. New York, New York, IEEE Computer Society, (2004)
Abstract
Traveling is necessary and desirable; yet, it imposes external costs on other people. Quantitative methods help finding a balance. Multi-agent simulations seem an obvious possibility here. A real world traffic simulation consists of many modules, all requiring different expertise. The paper discusses how such modules can be coupled to a complete simulation system, how such a system can be made fast enough to deal with real-world sizes (several millions of travelers), and how agent memory can be introduced. A real-world case study is presented, which says that multi-agent methods for traffic are mature enough to be used alongside existing methods. Finally, some outlook into the near future is given.
%0 Conference Paper
%1 balmer_towards_2004
%A Balmer, Michael
%A Cetin, Nurhan
%A Nagel, Kai
%A Raney, Bryan
%B Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
%C New York, New York
%D 2004
%I IEEE Computer Society
%K agents imported traffic
%P 60--67
%T Towards Truly Agent-Based Traffic and Mobility Simulations
%U http://portal.acm.org/citation.cfm?id=1018794&dl=GUIDE&coll=GUIDE&CFID=23816525&CFTOKEN=95667353
%X Traveling is necessary and desirable; yet, it imposes external costs on other people. Quantitative methods help finding a balance. Multi-agent simulations seem an obvious possibility here. A real world traffic simulation consists of many modules, all requiring different expertise. The paper discusses how such modules can be coupled to a complete simulation system, how such a system can be made fast enough to deal with real-world sizes (several millions of travelers), and how agent memory can be introduced. A real-world case study is presented, which says that multi-agent methods for traffic are mature enough to be used alongside existing methods. Finally, some outlook into the near future is given.
%@ 1-58113-864-4
@inproceedings{balmer_towards_2004,
abstract = {Traveling is necessary and desirable; yet, it imposes external costs on other people. Quantitative methods help finding a balance. Multi-agent simulations seem an obvious possibility here. A real world traffic simulation consists of many modules, all requiring different expertise. The paper discusses how such modules can be coupled to a complete simulation system, how such a system can be made fast enough to deal with real-world sizes (several millions of travelers), and how agent memory can be introduced. A real-world case study is presented, which says that multi-agent methods for traffic are mature enough to be used alongside existing methods. Finally, some outlook into the near future is given.},
added-at = {2009-10-12T12:20:34.000+0200},
address = {New York, New York},
author = {Balmer, Michael and Cetin, Nurhan and Nagel, Kai and Raney, Bryan},
biburl = {https://www.bibsonomy.org/bibtex/277ebb42593a5b7e60dd351f823c8f840/cgray},
booktitle = {Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1},
interhash = {aa7cb92393290a422ca528e0087ba576},
intrahash = {77ebb42593a5b7e60dd351f823c8f840},
isbn = {1-58113-864-4},
keywords = {agents imported traffic},
pages = {60--67},
publisher = {{IEEE} Computer Society},
timestamp = {2009-10-13T16:33:58.000+0200},
title = {Towards Truly {Agent-Based} Traffic and Mobility Simulations},
url = {http://portal.acm.org/citation.cfm?id=1018794&dl=GUIDE&coll=GUIDE&CFID=23816525&CFTOKEN=95667353},
year = 2004
}