WiTraffic: Low-Cost and Non-Intrusive Traffic Monitoring System Using WiFi

Won, Myounggyu; Zhang, Shaohu; Son, Sang H.

doi:10.1109/icccn.2017.8038380

Cited by 52 publications

(36 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During experiments the classification accuracy was compared for several RSSI-based traffic monitoring approaches, including the proposed solution and the state-of-the-art methods from the literature. This comparison takes into account the method with one receiver [25], solutions with multiple, spatially distributed receivers and single classifier, which detects the vehicles based on a complete RSSI dataset [22,23], and the new introduced algorithm with the ensemble of classifiers.…”

Section: Resultsmentioning

confidence: 99%

“…In further tests, the other approach was considered, which is based on application of multiple receivers and one classifier [22,23]. According to this approach the vehicles were recognized by single classifier, using the dataset collected in four reference positions.…”

Section: Resultsmentioning

confidence: 99%

“…Another WiFi-based traffic monitoring system was presented in [22]. This system utilizes single access point and one laptop to provide functionalities of vehicle detection, classification, lane identification, and speed estimation.…”

Section: Related Work and Contributionmentioning

confidence: 99%

“…In the related works, the RSSIbased vehicle classification was implemented with use of various classification methods: artificial neural networks [22], k-Nearest Neighbor (k-NN), support vector machine (SVM) [23], decision trees [31], and logistic regression [32]. A SVM method was adopted in [23] to train vehicle classification models and categorize vehicles into two classes (passenger car and truck).…”

Section: Related Work and Contributionmentioning

confidence: 99%

“…Up to date, several efforts have been made to explore the possibility of vehicles detection and localization via channel state information (CSI) [22], received signal strength indicator (RSSI) [23,24], link quality indicator (LQI), and packet loss rate [25].…”

Section: Related Work and Contributionmentioning

confidence: 99%

See 4 more Smart Citations

Road Traffic Monitoring System Based on Mobile Devices and Bluetooth Low Energy Beacons

Lewandowski

Płaczek

Bernaś

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The paper proposes a method, which utilizes mobile devices (smartphones) and Bluetooth beacons, to detect passing vehicles and recognize their classes. The traffic monitoring tasks are performed by analyzing strength of radio signal received by mobile devices from beacons that are placed on opposite sides of a road. This approach is suitable for crowd sourcing applications aimed at reducing travel time, congestion, and emissions. Advantages of the introduced method were demonstrated during experimental evaluation in real-traffic conditions. Results of the experimental evaluation confirm that the proposed solution is effective in detecting three classes of vehicles (personal cars, semitrucks, and trucks). Extensive experiments were conducted to test different classification approaches and data aggregation methods. In comparison with state-of-the-art RSSI-based vehicle detection methods, higher accuracy was achieved by introducing a dedicated ensemble of random forest classifiers with majority voting.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Related Work and Contributionmentioning

confidence: 99%

Section: Related Work and Contributionmentioning

confidence: 99%

Section: Related Work and Contributionmentioning

confidence: 99%

See 3 more Smart Citations

Road Traffic Monitoring System Based on Mobile Devices and Bluetooth Low Energy Beacons

Lewandowski

Płaczek

Bernaś

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

Unauthorized and privacy‐intrusive human activity watching through Wi‐Fi signals: An emerging cybersecurity threat

Zhao

Bhuiyan

et al. 2022

Concurrency and Computation

View full text Add to dashboard Cite

Summary Nowadays, wireless radio signals are ubiquitous and are around us; some signals pass through us, and some reflect off us. Substantial advancements in recent years demonstrate that such signals are utilized for diverse emerging applications, including people activity, motion watches, healthcare, and so forth. A few questions would be that may raise severe concerns in future cybersecurity and private domains. For example, what if Wi‐Fi signals are utilized to watch a person doings and actions, which are mostly without the person's authorization and authentication. How far such signal utilization can attack privacy intrusively, silently, more particularly, what/where we do, say, command, see, write, draw, go, perform, everything can be known. In this article, we investigate watching human activities by leveraging Wi‐Fi signals and discuss a few application prototypes. We attempt to learn whether or not attackers have the ability to passively watch our Internet activity as well as physical activities and motions through Wi‐Fi. With all‐new advances, one must be aware that cyberattackers may apply unauthorized use of these advances to their benefit. We discuss some of the countermeasures and approaches to mitigate these risks with Wi‐Fi signal leveraging.

show abstract

A Survey on the Applications of Wi-Fi Sensing

et al. 2021

Advances in Artificial Intelligence and Security

View full text Add to dashboard Cite

WiTraffic: Low-Cost and Non-Intrusive Traffic Monitoring System Using WiFi

Cited by 52 publications

References 33 publications

Road Traffic Monitoring System Based on Mobile Devices and Bluetooth Low Energy Beacons

Road Traffic Monitoring System Based on Mobile Devices and Bluetooth Low Energy Beacons

Unauthorized and privacy‐intrusive human activity watching through Wi‐Fi signals: An emerging cybersecurity threat

A Survey on the Applications of Wi-Fi Sensing

Contact Info

Product

Resources

About