Solution to the User Equilibrium Dynamic Traffic Routing Problem Using Feedback Linearization
Document Type
Article
Publication Date
6-1998
Publication Title
Transportation Research Part B: Methodological
Volume
32
Issue
5
First page number:
343
Last page number:
360
Abstract
In this paper, the Dynamic Traffic Routing problem is defined as the real-time point diversion of traffic during non-recurrent congestion. This dynamic traffic routing problem is then formulated as a feedback control problem that determines the time-dependent split parameters at the diversion point for routing the incoming traffic flow onto the alternate routes in order to achieve a user-equilibrium traffic pattern. Feedback linearization technique is used to solve this specific user-equilibrium formulation of the Dynamic Traffic Routing problem. The control input is the traffic split factor at the diversion point. By transforming the dynamics of the system into canonical form, a control law is obtained which cancels the nonlinearities of the system. Simulation results show that the performance of this controller on a test network is quite promising.
Keywords
Closed loop; Control; Feedback control systems; Traffic congestion—Management; Traffic diversion; Traffic engineering; Traffic patterns
Language
English
Permissions
Use Find in Your Library, contact the author, or use interlibrary loan to garner a copy of the article. Publisher copyright policy allows author to archive post-print (author’s final manuscript). When post-print is available or publisher policy changes, the article will be deposited
Publisher Citation
Pushkin Kachroo, Kaan Özbay Solution to the user equilibrium dynamic traffic routing problem using feedback linearization Transportation Research Part B: Methodological, Volume 32, Issue 5, June 1998, Pages 343–360 http://dx.doi.org/10.1016/S0191-2615(97)00031-3
Repository Citation
Kachroo, P.,
Ozbay, K.
(1998).
Solution to the User Equilibrium Dynamic Traffic Routing Problem Using Feedback Linearization.
Transportation Research Part B: Methodological, 32(5),
343-360.
https://digitalscholarship.unlv.edu/ece_fac_articles/39