LoRa-Based Traffic Flow Detection for Smart-Road
Обнаружение транспортного потока на основе LoRa для интеллектуальных дорог
2021-01-06
SCID: 54.1/3xkukekp
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LoRa-based traffic detectionLoRaWANLow Power Wide Area NetworkRSSI attenuationvehicle speed measurement
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Abstract (AI)
This paper presents a wireless traffic flow detection system, mainly focused on conditions in which the traffic flow is slow or stopped, which increases the risk of highway accidents. To achieve this goal, a Low Power Wide Area Network (LPWAN) based on LoRa called Short LoRa has been developed. This LoRa sub-network complies with the European Telecommunications Standards Institute (ETSI) harmonized standard for its compatibility in Europe countries. In addition, the development of the devices has allowed them to also work on a LoRaWAN network. The introduced development has been compared to a reference system mounted with laser barriers that provided a high accurate comparison. Field tests of the system have been carried out and the data obtained in the measurement has been analyzed with two different methods, and both of them were valid for the application. The results can determine vehicle speed with adequate precision at low speeds. The attenuating behavior of the communication signal is also analyzed through the Radio Signal Strength Indicator (RSSI). The relationship between vehicle speed, gate distances and RSSI attenuation has been studied. The system is proven to have efficient results in detecting traffic flow under the conditions for which it has been developed.
Key Findings
1
A LoRa-based wireless traffic-flow detection system was developed specifically for slow-moving or stopped traffic, which poses elevated highway accident risks.
2
Field tests validated two data-analysis methods for the application, with both methods determining vehicle speeds adequately at low speeds.
3
The Short LoRa LPWAN sub-network complies with ETSI harmonized standards for European compatibility, while its devices can also operate on LoRaWAN networks.
4
The system was benchmarked against a highly accurate laser-barrier reference system, supporting the validity of its traffic-flow measurements.
5
Vehicle speed, gate spacing, and RSSI attenuation were systematically related, enabling communication-signal behavior to be analyzed during traffic detection.
Research Object
Low-speed or stopped highway traffic flow monitored by a LoRa/LoRaWAN wireless detection system
Research Subject
Vehicle-speed detection accuracy and the relationship between vehicle speed, gate distance, and RSSI attenuation under low-speed or stopped-traffic conditions
Publication Details
Publication Date
2021-01-06
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