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Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing. / Zakharov, V.; Krylatov, A.

Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing. Springer Nature, 2014. p. 641-648.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research

Harvard

Zakharov, V & Krylatov, A 2014, Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing. in Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing. Springer Nature, pp. 641-648. <http://link.springer.com/chapter/10.1007%2F978-3-662-44745-1_63>

APA

Zakharov, V., & Krylatov, A. (2014). Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing. In Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing (pp. 641-648). Springer Nature. http://link.springer.com/chapter/10.1007%2F978-3-662-44745-1_63

Vancouver

Zakharov V, Krylatov A. Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing. In Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing. Springer Nature. 2014. p. 641-648

Author

Zakharov, V. ; Krylatov, A. / Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing. Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing. Springer Nature, 2014. pp. 641-648

BibTeX

@inproceedings{1125a68aa3904056938795fc7abf3d36,
title = "Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing",
abstract = "The goal of the paper is to demonstrate possibilities of collaborative transportation network to minimize total travel time of the network users. Cooperative and competitive traffic flow assignment systems in case of m ≥ 2 navigation providers (Navigators) are compared. Each Navigator provides travel guidance for its customers (users) on the non-general topology network of parallel links. In both cases the main goals of Navigators are to minimize travel time of their users but the behavioral strategies are different. In competitive case the behavioral strategy of each Navigator is to minimize travel time of traffic flow of its navigation service users while in cooperative case – to minimize travel time of overall traffic flow. Competitive routing is formalized mathematically as a non-zero sum game and cooperative routing is formulated as an optimization problem. It is demonstrated that Nash equilibrium in the navigation game appears to be not Pareto optimal. Eventually it is shown that cooperative routing sys",
keywords = "competitive routing, cooperative routing, traffic flow assignment, Wardrop equilibrium, Nash equilibrium, Pareto optimality",
author = "V. Zakharov and A. Krylatov",
year = "2014",
language = "English",
pages = "641--648",
booktitle = "Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing",
publisher = "Springer Nature",
address = "Germany",

}

RIS

TY - GEN

T1 - Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing

AU - Zakharov, V.

AU - Krylatov, A.

PY - 2014

Y1 - 2014

N2 - The goal of the paper is to demonstrate possibilities of collaborative transportation network to minimize total travel time of the network users. Cooperative and competitive traffic flow assignment systems in case of m ≥ 2 navigation providers (Navigators) are compared. Each Navigator provides travel guidance for its customers (users) on the non-general topology network of parallel links. In both cases the main goals of Navigators are to minimize travel time of their users but the behavioral strategies are different. In competitive case the behavioral strategy of each Navigator is to minimize travel time of traffic flow of its navigation service users while in cooperative case – to minimize travel time of overall traffic flow. Competitive routing is formalized mathematically as a non-zero sum game and cooperative routing is formulated as an optimization problem. It is demonstrated that Nash equilibrium in the navigation game appears to be not Pareto optimal. Eventually it is shown that cooperative routing sys

AB - The goal of the paper is to demonstrate possibilities of collaborative transportation network to minimize total travel time of the network users. Cooperative and competitive traffic flow assignment systems in case of m ≥ 2 navigation providers (Navigators) are compared. Each Navigator provides travel guidance for its customers (users) on the non-general topology network of parallel links. In both cases the main goals of Navigators are to minimize travel time of their users but the behavioral strategies are different. In competitive case the behavioral strategy of each Navigator is to minimize travel time of traffic flow of its navigation service users while in cooperative case – to minimize travel time of overall traffic flow. Competitive routing is formalized mathematically as a non-zero sum game and cooperative routing is formulated as an optimization problem. It is demonstrated that Nash equilibrium in the navigation game appears to be not Pareto optimal. Eventually it is shown that cooperative routing sys

KW - competitive routing

KW - cooperative routing

KW - traffic flow assignment

KW - Wardrop equilibrium

KW - Nash equilibrium

KW - Pareto optimality

M3 - Conference contribution

SP - 641

EP - 648

BT - Equilibrium Assignments in Competitive and Cooperative Traffic Flow Routing

PB - Springer Nature

ER -

ID: 7018338