Traffic assignment: methods and simulations for an alternative formulation of the fixed demand problem
Journal article
Bagdasar, Ovidiu, Berry, Stuart, O’Neill, Sam, Popovici, Nicolae and Raja, Ramachandran 2018. Traffic assignment: methods and simulations for an alternative formulation of the fixed demand problem. Mathematics and Computers in Simulation. https://doi.org/10.1016/j.matcom.2018.08.004
Authors | Bagdasar, Ovidiu, Berry, Stuart, O’Neill, Sam, Popovici, Nicolae and Raja, Ramachandran |
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Abstract | Motorists often face the dilemma of choosing the route enabling them to realise the fastest (i.e., shortest) journey time. In this paper we examine discrete and continuous optimisation and equilibrium-type problems for a simplified parallel link traffic model using a variance based approach. Various methodologies used for solving these problems (brute force, dynamic programming, tabu search, steepest descent) are explored and comparison is made with the Beckmann cost function traditionally employed in transport modelling. |
Keywords | Traffic assignment; Optimal flow; Equilibrium flow; Tabu search; Dynamic programming |
Year | 2018 |
Journal | Mathematics and Computers in Simulation |
Publisher | Elsevier |
ISSN | 0378-4754 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.matcom.2018.08.004 |
Web address (URL) | http://hdl.handle.net/10545/622987 |
http://creativecommons.org/licenses/by/4.0/ | |
hdl:10545/622987 | |
Publication dates | 30 Aug 2018 |
Publication process dates | |
Deposited | 17 Sep 2018, 13:16 |
Accepted | 15 Aug 2018 |
Rights | Archived with thanks to Mathematics and Computers in Simulation |
Contributors | University of Derby and Technical University of Cluj-Napoca |
File | File Access Level Open |
File | File Access Level Open |
File |
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