Wireless Network with Bluetooth Low Energy Beacons for Vehicle Detection and Classification

Bernaś, Marcin; Płaczek, Bartłomiej; Korski, Wojciech

doi:10.1007/978-3-319-92459-5_34

Cited by 13 publications

(14 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Three BLE beacons were installed on road side at height of 50, 100, and 200 centimeters above the road surface. This configuration was selected, as providing the most promising results, on the basis of preliminary tests [32]. On the opposite side of the road, four reference points were determined in equal distances of 4 meters.…”

Section: Resultsmentioning

confidence: 99%

“…It should be noted that the introduced system structure, which includes BLE beacons and mobile devices, has not been considered in the literature. The BLE beacons are installed at different heights because such arrangement is suitable for vehicle classification, i.e., recognition of personal cars, semitrucks, and trucks [32]. Beacons use the iBeacon protocol [29] to broadcast frames.…”

Section: Proposed Methodsmentioning

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%

“…A SVM method was adopted in [23] to train vehicle classification models and categorize vehicles into two classes (passenger car and truck). The state-of-the-art algorithms are trained using raw data [23] or a set of predefined features [31,32]. To the best authors' knowledge, classifier ensembles have not been previously adapted to deal with the RSSI-based road traffic monitoring tasks.…”

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

Self Cite

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: Proposed Methodsmentioning

confidence: 99%

Section: Related Work and Contributionmentioning

confidence: 99%

Section: Related Work and Contributionmentioning

confidence: 99%

See 2 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

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [ 20 ] Bluetooth low energy (BLE) beacons were used with iBeacon protocol to broadcast data frames. The beacon frames are registered by smartphones that collect the RSSI measurements, aggregate them and send to server for further analysis, which aims at vehicle detection and classification.…”

Section: Sensing Technologiesmentioning

confidence: 99%

A Survey and Comparison of Low-Cost Sensing Technologies for Road Traffic Monitoring

Bernaś

Płaczek

Korski

et al. 2018

Sensors

Self Cite

View full text Add to dashboard Cite

This paper reviews low-cost vehicle and pedestrian detection methods and compares their accuracy. The main goal of this survey is to summarize the progress achieved to date and to help identify the sensing technologies that provide high detection accuracy and meet requirements related to cost and ease of installation. Special attention is paid to wireless battery-powered detectors of small dimensions that can be quickly and effortlessly installed alongside traffic lanes (on the side of a road or on a curb) without any additional supporting structures. The comparison of detection methods presented in this paper is based on results of experiments that were conducted with a variety of sensors in a wide range of configurations. During experiments various sensor sets were analyzed. It was shown that the detection accuracy can be significantly improved by fusing data from appropriately selected set of sensors. The experimental results reveal that accurate vehicle detection can be achieved by using sets of passive sensors. Application of active sensors was necessary to obtain satisfactory results in case of pedestrian detection.

show abstract

ToothHack: An Investigation on a Bluetooth Dongle to Implement a Low-Cost and Dynamic Wireless Control-Signal Transmission System

Shantonu,

Chowdhury,

Ahmed

et al. 2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

Wireless Network with Bluetooth Low Energy Beacons for Vehicle Detection and Classification

Cited by 13 publications

References 13 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

A Survey and Comparison of Low-Cost Sensing Technologies for Road Traffic Monitoring

ToothHack: An Investigation on a Bluetooth Dongle to Implement a Low-Cost and Dynamic Wireless Control-Signal Transmission System

Contact Info

Product

Resources

About