Next Article in Journal
Classification of Granite Soils and Prediction of Soil Water Content Using Hyperspectral Visible and Near-Infrared Imaging
Next Article in Special Issue
Using Deep Learning to Forecast Maritime Vessel Flows
Previous Article in Journal
Automated Indoor Image Localization to Support a Post-Event Building Assessment
Previous Article in Special Issue
A Generic Design of Driver Drowsiness and Stress Recognition Using MOGA Optimized Deep MKL-SVM
 
Search for Articles:
Title / Keyword
Author / Affiliation
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
Journals
Sensors
Volume 20
Issue 6
10.3390/s20061609
sensors-logo
Submit to this Journal Review for this Journal Edit a Special Issue
► Article Menu

Article Menu

Printed Edition

A printed edition of this Special Issue is available at MDPI Books....
share announcement question_answer thumb_up
...
textsms
...
Article

Hybrid Dynamic Traffic Model for Freeway Flow Analysis Using a Switched Reduced-Order Unknown-Input State Observer

by
Yuqi Guo
1,
Bin Li
1,
Matthew Daniel Christie
2,
Zongzhi Li
3,
Miguel Angel Sotelo
4,
Yulin Ma
5,*,
Dongmei Liu
1 and
Zhixiong Li
5
1
Research Institute of Highway, Ministry of Transport of China, Beijing 100088, China
2
School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
3
Department of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
4
Department of Computer Engineering, University of Alcalá, 28801 Alcalá de Henares (Madrid), Spain
5
Suzhou Automotive Research Institute, Tsinghua University, Suzhou 215134, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(6), 1609; https://doi.org/10.3390/s20061609
Received: 17 December 2019 / Revised: 25 February 2020 / Accepted: 5 March 2020 / Published: 13 March 2020
(This article belongs to the Special Issue Internet of Things and Artificial Intelligence in Transportation Revolution)
View Full-Text Download PDF
Browse Figures

Abstract

This paper introduces a new methodology for reconstructing vehicle densities of freeway segments by utilizing the limited data collected by traffic-counting sensors and developing a macroscopic traffic stream model formulated as a switched reduced-order state observer design problem with unknown or partially known inputs. Specifically, the traffic network is modeled as a hybrid dynamic system in a state space that incorporates unknown inputs. For freeway segments with traffic-counting sensors installed, vehicle densities are directly computed using field traffic count data. A reduced-order state observer is designed to analyze traffic state transitions for freeway segments without field traffic count data to indirectly estimate the vehicle densities for each freeway segment. A simulation-based experiment is performed applying the methodology and using data of a segment of Beijing Jingtong freeway in Beijing, China. The model execution results are compared with the field data associated with the same freeway segment, and highly consistent results are achieved. The proposed methodology is expected to be adopted by traffic engineers to evaluate freeway operations and develop effective management strategies. View Full-Text
Keywords: urban freeway; hybrid dynamic system; state transition; unknown inputs observer; vehicle density urban freeway; hybrid dynamic system; state transition; unknown inputs observer; vehicle density
►▼ Show Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
SciFeed

Share and Cite

MDPI and ACS Style

Guo, Y.; Li, B.; Christie, M.D.; Li, Z.; Sotelo, M.A.; Ma, Y.; Liu, D.; Li, Z. Hybrid Dynamic Traffic Model for Freeway Flow Analysis Using a Switched Reduced-Order Unknown-Input State Observer. Sensors 2020, 20, 1609. https://doi.org/10.3390/s20061609

AMA Style

Guo Y, Li B, Christie MD, Li Z, Sotelo MA, Ma Y, Liu D, Li Z. Hybrid Dynamic Traffic Model for Freeway Flow Analysis Using a Switched Reduced-Order Unknown-Input State Observer. Sensors. 2020; 20(6):1609. https://doi.org/10.3390/s20061609

Chicago/Turabian Style

Guo, Yuqi, Bin Li, Matthew D. Christie, Zongzhi Li, Miguel A. Sotelo, Yulin Ma, Dongmei Liu, and Zhixiong Li. 2020. "Hybrid Dynamic Traffic Model for Freeway Flow Analysis Using a Switched Reduced-Order Unknown-Input State Observer" Sensors 20, no. 6: 1609. https://doi.org/10.3390/s20061609

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Map by Country/Region

1
Back to TopTop