000099144 001__ 99144 000099144 005__ 20231108202300.0 000099144 0247_ $$2doi$$a10.3390/s21020338 000099144 0248_ $$2sideral$$a122598 000099144 037__ $$aART-2021-122598 000099144 041__ $$aeng 000099144 100__ $$0(orcid)0000-0003-3618-4940$$aAsiain, D. 000099144 245__ $$aLora-based traffic flow detection for smart-road 000099144 260__ $$c2021 000099144 5060_ $$aAccess copy available to the general public$$fUnrestricted 000099144 5203_ $$aThis paper presents a wireless traffic flow detection system, mainly focused on conditions in which the traffic flow is slow or stopped, which increases the risk of highway accidents. To achieve this goal, a Low Power Wide Area Network (LPWAN) based on LoRa called Short LoRa has been developed. This LoRa sub-network complies with the European Telecommunications Standards Institute (ETSI) harmonized standard for its compatibility in Europe countries. In addition, the development of the devices has allowed them to also work on a LoRaWAN network. The introduced development has been compared to a reference system mounted with laser barriers that provided a high accurate comparison. Field tests of the system have been carried out and the data obtained in the measurement has been analyzed with two different methods, and both of them were valid for the application. The results can determine vehicle speed with adequate precision at low speeds. The attenuating behavior of the communication signal is also analyzed through the Radio Signal Strength Indicator (RSSI). The relationship between vehicle speed, gate distances and RSSI attenuation has been studied. The system is proven to have efficient results in detecting traffic flow under the conditions for which it has been developed. 000099144 536__ $$9info:eu-repo/grantAgreement/ES/MEPyD/BOE-B-2015-20619 000099144 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000099144 590__ $$a3.847$$b2021 000099144 592__ $$a0.803$$b2021 000099144 594__ $$a6.4$$b2021 000099144 591__ $$aCHEMISTRY, ANALYTICAL$$b29 / 87 = 0.333$$c2021$$dQ2$$eT2 000099144 593__ $$aAnalytical Chemistry$$c2021$$dQ1 000099144 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b19 / 64 = 0.297$$c2021$$dQ2$$eT1 000099144 593__ $$aBiochemistry$$c2021$$dQ1 000099144 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b95 / 274 = 0.347$$c2021$$dQ2$$eT2 000099144 593__ $$aInstrumentation$$c2021$$dQ1 000099144 593__ $$aInformation Systems$$c2021$$dQ1 000099144 593__ $$aElectrical and Electronic Engineering$$c2021$$dQ1 000099144 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000099144 700__ $$0(orcid)0000-0003-4404-776X$$aAntolín, D. 000099144 773__ $$g21, 2 (2021), 338 [24 pp]$$pSensors$$tSensors$$x1424-8220 000099144 8564_ $$s1149547$$uhttps://zaguan.unizar.es/record/99144/files/texto_completo.pdf$$yVersión publicada 000099144 8564_ $$s2688111$$uhttps://zaguan.unizar.es/record/99144/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000099144 909CO $$ooai:zaguan.unizar.es:99144$$particulos$$pdriver 000099144 951__ $$a2023-11-08-20:14:53 000099144 980__ $$aARTICLE