Next Article in Journal
Visible-Light Camera Sensor-Based Presentation Attack Detection for Face Recognition by Combining Spatial and Temporal Information
Previous Article in Journal
Infrared-Inertial Navigation for Commercial Aircraft Precision Landing in Low Visibility and GPS-Denied Environments
Article Menu
Issue 2 (January-2) cover image

Export Article

Open AccessArticle
Sensors 2019, 19(2), 409; https://doi.org/10.3390/s19020409

Evaluation of a Wi-Fi Signal Based System for Freeway Traffic States Monitoring: An Exploratory Field Test

1
Department of Civil and Environmental Engineering, University of Wisconsin, Madison, WI 53706, USA
2
Ford Motor Company, Dearborn, MI 48126, USA
3
School of Automation, Nanjing University of Science and Technology, Nanjing 210000, China
4
School of Cyberspace Security, Southeast University, Nanjing 210000, China
*
Author to whom correspondence should be addressed.
Received: 3 December 2018 / Revised: 27 December 2018 / Accepted: 15 January 2019 / Published: 20 January 2019
(This article belongs to the Section Sensor Networks)
  |  
PDF [4359 KB, uploaded 20 January 2019]
  |  

Abstract

Monitoring traffic states from the road is arousing increasing concern from traffic management authorities. To complete the picture of real-time traffic states, novel data sources have been introduced and studied in the transportation community for decades. This paper explores a supplementary and novel data source, Wi-Fi signal data, to extract traffic information through a well-designed system. An IoT (Internet of Things)-based Wi-Fi signal detector consisting of a solar power module, high capacity module, and IoT functioning module was constructed to collect Wi-Fi signal data. On this basis, a filtration and mining algorithm was developed to extract traffic state information (i.e., travel time, traffic volume, and speed). In addition, to evaluate the performance of the proposed system, a practical field test was conducted through the use of the system to monitor traffic states of a major corridor in China. The comparison results with loop data indicated that traffic speed obtained from the system was consistent with that collected from loop detectors. The mean absolute percentage error reached 3.55% in the best case. Furthermore, the preliminary analysis proved the existence of the highly correlated relationship between volumes obtained from the system and from loop detectors. The evaluation confirmed the feasibility of applying Wi-Fi signal data to acquisition of traffic information, indicating that Wi-Fi signal data could be used as a supplementary data source for monitoring real-time traffic states. View Full-Text
Keywords: Internet of Things (IoT); Wi-Fi signal detector; traffic characteristics monitoring; speed detection; performance evaluation Internet of Things (IoT); Wi-Fi signal detector; traffic characteristics monitoring; speed detection; performance evaluation
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 (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Ding, F.; Chen, X.; He, S.; Shou, G.; Zhang, Z.; Zhou, Y. Evaluation of a Wi-Fi Signal Based System for Freeway Traffic States Monitoring: An Exploratory Field Test. Sensors 2019, 19, 409.

Show more citation formats Show less citations formats

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

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top