By Topic

Single-sensor based nonlinear density estimation for traffic networks with multiple routes and sections

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Z. Z. Ye ; Dept. of Electr. Eng., Arkansas Univ., Fayetteville, AR, USA ; J. Amirzzodi ; M. Alotaibi ; I. M. Tshiojwe
more authors

A single origin and single destination traffic network with multiple routes and sections is considered. The state variables are assumed to be traffic densities in these sections. For dynamic routing of traffic, accurate measurement of these variables is needed. This requires the placement of numerous sensors, one at each section, which is a costly solution. In this work, a simpler solution is presented based on a single sensor placed at the destination node and the use of an extended Kalman filter for estimation of traffic densities in individual route sections. Two sets of simulations are provided for illustration

Published in:

Decision and Control, 2001. Proceedings of the 40th IEEE Conference on  (Volume:5 )

Date of Conference: