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Simulation and Optimization of Trajectories in a Congested Network

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Author Info
Gunnar Flötteröd () (Berlin University of Technology, Group for Transport Systems Planning and Transport Telematics)
Kai Nagel () (Berlin University of Technology, Group for Transport Systems Planning and Transport Telematics)
Abstract

The subject of this article is twofold. Firstly it describes how a dynamic macroscopic network loading model can be used to simulate the movement of arbitrarily complex individual particles (agents) through a network without loss of the macroscopic model’s differentiability. Based on this result the problem of minimizing a given functional of the macroscopic model’s states by adjustment of individual agents’ trajectories is considered. A solution procedure is proposed, which is based on subsequent linearizations of the overall system dynamics and time variant best path calculations.

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File URL: http://www.cni.tu-berlin.de/fileadmin/documents/RePEc/cni/working_paper/floetteroed_nagel_2006-simulation_and_optimization_of_trajectories_in_a_congested_network-cni_wp_no_2006-07.pdf
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Publisher Info
Paper provided by Center for Network Industries and Infrastructure (CNI) in its series Working Papers with number 2006-07.

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Length: 6 pages
Date of creation: 2006
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Handle: RePEc:cni:wpaper:2006-07

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Related research
Keywords: congestion transportation networks

Find related papers by JEL classification:
L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
C6 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. M. Jones & S. Vines, 1998. "Choosing the smoothing parameter for unordered multinomial data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 7(2), pages 413-426, December. [Downloadable!] (restricted)
  2. Gunnar Flötteröd & Kai Nagel, 2006. "Bayesian modeling and estimation of combined route and activity location choice," Working Papers 2006-06, Center for Network Industries and Infrastructure (CNI). [Downloadable!]
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  1. Gunnar Flötteröd & Kai Nagel, 2006. "Bayesian modeling and estimation of combined route and activity location choice," Working Papers 2006-06, Center for Network Industries and Infrastructure (CNI). [Downloadable!]
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This page was last updated on 2008-10-2.


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