1997/12/10 by Kai Nagel, Nagel, Kai
Engineering · Physics and Astronomy · Social Sciences · #Adaptation and Self-Organizing Systems (nlin.AO) #FOS: Physical sciences #Traffic Prediction and Management Techniques #Traffic control and management #Transportation Planning and Optimization #adap-org #nlin.AO
paper · pdf · doi:10.48550/arxiv.adap-org/9712001
to appear in: Traffic and Granular Flow II, edited by M Schreckenberg and D E Wolf
arxiv created 1997/12/10 · openalex publication_date 1997/12/10 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper reports experiences with iterated traffic microsimulations in the context of a Dallas study. ``Iterated microsimulations'' here means that the information generated by a microsimulation is fed back into the route planner so that the simulated individuals can adjust their routes to circumvent congestion. This paper gives an overview over what has been done in the Dallas context to better understand the relaxation process, and how to judge the robustness of the results.