An Efficient PageRank Approach for Urban Traffic Optimization
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The cities are not static environments.
They change constantly.
When we talk about traffic in the city, the evolution of traffic lights is a journey from mindless automation to increasingly intelligent, fluid traffic management.
In our approach, presented in this paper, reinforcement-learning mechanism based on cost function is introduced to determine optimal decisions for each traffic light, based on the solution given by Larry Page for page ranking in Web environment (Page et al.
(1999)).
Our approach is similar with work presented by Sheng-Chung et al.
(2009) and Yousef et al.
(2010).
We consider that the traffic lights are controlled by servers and a score for each road is computed based on efficient PageRank approach and is used in cost function to determine optimal decisions.
We demonstrate that the cumulative contribution of each car in the traffic respects the main constrain of PageRank approach, preserving all the properties of M matrix consider in our model.
American Psychological Association (APA)
Pop, Florin& Dobre, Ciprian. 2012. An Efficient PageRank Approach for Urban Traffic Optimization. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-1001614
Modern Language Association (MLA)
Pop, Florin& Dobre, Ciprian. An Efficient PageRank Approach for Urban Traffic Optimization. Mathematical Problems in Engineering No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-1001614
American Medical Association (AMA)
Pop, Florin& Dobre, Ciprian. An Efficient PageRank Approach for Urban Traffic Optimization. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-1001614
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001614