Solving the dynamic network user equilibrium problem with state-dependent time shifts
In this paper we consider the infinite dimensional variational inequality (VI) formulation of dynamic user equilibrium (DUE) put forward by Friesz et al. (1993) [A variational inequality formulation of the dynamic network user equilibrium problem. Operations Research 41, 179–191] as well as the diff...
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Veröffentlicht in: | Transportation research. Part B: methodological 2006-03, Vol.40 (3), p.207-229 |
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creator | Friesz, Terry L. Mookherjee, Reetabrata |
description | In this paper we consider the infinite dimensional variational inequality (VI) formulation of dynamic user equilibrium (DUE) put forward by Friesz et al. (1993) [A variational inequality formulation of the dynamic network user equilibrium problem. Operations Research 41, 179–191] as well as the differential variational inequality (DVI) version reported in Friesz et al. (2001) [Dynamic network user equilibrium with state-dependent time lags. Networks and Spatial Economics 1, 319–347]. We show how the theory of optimal control and the theory of infinite dimensional variational inequalities may be combined to create a simple and effective fixed point algorithm for calculating DUE network flows that are solutions of both formulations. A numerical example is provided. |
doi_str_mv | 10.1016/j.trb.2005.03.002 |
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A numerical example is provided.</description><subject>Applied sciences</subject><subject>Differential variational inequality</subject><subject>Dynamic user equilibrium</subject><subject>Exact sciences and technology</subject><subject>Ground, air and sea transportation, marine construction</subject><subject>Optimal control</subject><subject>Transportation planning, management and economics</subject><issn>0191-2615</issn><issn>1879-2367</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNp9UMtuFDEQtBCRWAIfwM0XuM2kbc-Mx-KEIkKCInEgOVu2p816mcfG9my0f4-TjeDGobqlVlWpugj5wKBmwLqLXZ2jrTlAW4OoAfgrsmG9VBUXnXxNNsAUq3jH2jfkbUo7ABANsA25_7mMhzD_onmLdDjOZgqOzpgfl_ibrgkjxYc1jMHGsE50Hxc74kQfQ97SlE3GasA9zgPOmeYwIU3b4HN6R868GRO-f9nn5P7q693ldXX749vN5ZfbyjWtyFXjeiW9BwWmYV5aA52wStlWmkF0vmm8ZL3lfih3A-C6Dlyj5OCtUEx4Js7Jp5NvCfawYsp6CsnhOJoZlzVp3ndKKS4KkZ2ILi4pRfR6H8Nk4lEz0E8F6p0uBeqnAjUIXQosmu8nTSwvur8CRMzRzMnqgxamgTKOBUXZlRUKRMH--SQ150pv81TMPr4kNcmZ0RcHF9K_FLJtJGd94X0-8bDUdggYdXIBZ4dDiOiyHpbwn8h_ADCgn9o</recordid><startdate>20060301</startdate><enddate>20060301</enddate><creator>Friesz, Terry L.</creator><creator>Mookherjee, Reetabrata</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20060301</creationdate><title>Solving the dynamic network user equilibrium problem with state-dependent time shifts</title><author>Friesz, Terry L. ; Mookherjee, Reetabrata</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-4c897ff090a41f7ba063b99b57ad36f44f718b2fd063a00c660c497dfb3913f13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Applied sciences</topic><topic>Differential variational inequality</topic><topic>Dynamic user equilibrium</topic><topic>Exact sciences and technology</topic><topic>Ground, air and sea transportation, marine construction</topic><topic>Optimal control</topic><topic>Transportation planning, management and economics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Friesz, Terry L.</creatorcontrib><creatorcontrib>Mookherjee, Reetabrata</creatorcontrib><collection>Pascal-Francis</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Transportation research. 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Operations Research 41, 179–191] as well as the differential variational inequality (DVI) version reported in Friesz et al. (2001) [Dynamic network user equilibrium with state-dependent time lags. Networks and Spatial Economics 1, 319–347]. We show how the theory of optimal control and the theory of infinite dimensional variational inequalities may be combined to create a simple and effective fixed point algorithm for calculating DUE network flows that are solutions of both formulations. A numerical example is provided.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.trb.2005.03.002</doi><tpages>23</tpages></addata></record> |
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source | RePEc; ScienceDirect Journals (5 years ago - present) |
subjects | Applied sciences Differential variational inequality Dynamic user equilibrium Exact sciences and technology Ground, air and sea transportation, marine construction Optimal control Transportation planning, management and economics |
title | Solving the dynamic network user equilibrium problem with state-dependent time shifts |
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