Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2010-06-01

Journal: Journal of Computational Information Systems

Included Journals: Scopus、EI

Volume: 6

Issue: 6

Page Number: 2045-2052

ISSN: 15539105

Abstract: To improve the veracity and practicality of traffic state estimation, a distributed cooperative algorithm is proposed in this paper. Firstly, a stochastic traffic flow distributed detection platform is introduced for this algorithm based on a binary proximity magnetic sensors network. Then, a generalized neural networks is used as the mainly part of this algorithm because of its better astringency and precision. At last, a number of real-data-based tests have been conducted to test the performance of the traffic state estimation. The results verified that the traffic state estimation model and algorithm enhanced the real-time traffic state estimation with high accuracy and solid robustness. Copyright ? 2010 Binary Information Press.