Equilibrium Traffic Flow Assignment in Case of Two Navigation Providers

Traffic flow assignment system that includes two navigation providers is considered. Navigation providers predict future traffic conditions and provide travel guidance for given original-destination demand and network capacity. Three classes of drivers are introduced. The users of navigation service from the first and the second classes are supplied with the shortest path guidance by navigation providers «Navigator 1» and «Navigator 2» correspondingly. The third class of drivers is characterized by user-optimal behavior without current guidance information about traffic conditions. The main goals of Navigators are to assign the traffic flow of their customers (users) so as to maximize appropriate pay-off functions which depend on original estimation of traffic volume delay and are influenced by decision of both of them. Existence and uniqueness of Nash equilibrium in considered non-zero sum game are proven and an explicit form of Nash equilibrium is presented.

[1]  L. Craig Davis,et al.  Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffic Theory , 2009 .

[2]  Eitan Altman,et al.  A Jamming Game in Wireless Networks with Transmission Cost , 2007, NET-COOP.

[3]  Ariel Orda,et al.  Capacity allocation under noncooperative routing , 1997, IEEE Trans. Autom. Control..

[4]  Ariel Orda,et al.  Competitive routing in multiuser communication networks , 1993, TNET.

[5]  Eitan Altman,et al.  Nash equilibria for combined flow control and routing in networks: asymptotic behavior for a large number of users , 2002, IEEE Trans. Autom. Control..

[6]  Eitan Altman,et al.  Closed form solutions for water-filling problems in optimization and game frameworks , 2007, ValueTools '07.

[7]  Philip Wolfe,et al.  An algorithm for quadratic programming , 1956 .

[8]  Ariel Orda,et al.  Achieving network optima using Stackelberg routing strategies , 1997, TNET.

[9]  Wai-Ki Ching A note on the convergence of asynchronous greedy algorithm with relaxation in a multiclass queueing environment , 1999, IEEE Communications Letters.

[10]  Sang Nguyen,et al.  On the Combined Distribution-Assignment of Traffic , 1975 .

[11]  Boris S. Kerner,et al.  Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffic Theory , 2009 .

[12]  J. Wardrop ROAD PAPER. SOME THEORETICAL ASPECTS OF ROAD TRAFFIC RESEARCH. , 1952 .

[13]  Hai Zhuge,et al.  Semantic linking through spaces for cyber-physical-socio intelligence: A methodology , 2011, Artif. Intell..

[14]  E. Altman,et al.  Equilibrium, Games, and Pricing in Transportation and Telecommunication Networks , 2004 .

[15]  J. G. Wardrop,et al.  Some Theoretical Aspects of Road Traffic Research , 1952 .

[16]  Samson Lasaulce,et al.  Game Theory and Learning for Wireless Networks: Fundamentals and Applications , 2011 .

[17]  Ariel Orda,et al.  Architecting noncooperative networks , 1995, Eighteenth Convention of Electrical and Electronics Engineers in Israel.

[18]  Tijani Chahed,et al.  Network Control and Optimization, First EuroFGI International Conference, NET-COOP 2007, Avignon, France, June 5-7, 2007, Proceedings , 2007, NET-COOP.

[19]  T. Koopmans,et al.  Studies in the Economics of Transportation. , 1956 .