pp. 2345-2364
S&M2622 Research Paper of Special Issue https://doi.org/10.18494/SAM.2021.3288 Published: July 6, 2021 Smart Rural E-Bus System Using Global Radio (GloRa) [PDF] Shu-Hui Lin, Yen-Hui Kuo, Eric Hsiao-Kuang Wu, Hou-Sheng Lin, Emery Jou, and Ming-Hui Jin (Received December 31, 2020; Accepted March 24, 2021) Keywords: rural transportation, rural communication, 4G/LTE, LPWAN, cloud computing, fog computing, LoRa, GloRa
In this study, we focus on the electronic bus (E-Bus) system developed for Taiwan’s mountainous areas. The rural area in Taiwan with its towering mountains has become a sightseeing hot spot. The radio propagation of a (cloud-based) 4G/LTE network may be severely limited by the mountainous geography, leading to unacceptable connection quality. We have built a smart (fog-based) local wireless E-Bus system using a feature-enhanced long-range wide-area network (LoRaWAN, also known as GloRa in Taiwan). Since there is no electricity on the mountain roads, the bus stops of this E-Bus system are operated by a dynamo. Furthermore, we present a virtual direction and position algorithm for multiple E-Bus lines. A novel sensing method using the dynamos is proposed to estimate the feasibility of the E-Bus optimization problem.
Corresponding author: Shu-Hui LinThis work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Shu-Hui Lin, Yen-Hui Kuo, Eric Hsiao-Kuang Wu, Hou-Sheng Lin, Emery Jou, and Ming-Hui Jin, Smart Rural E-Bus System Using Global Radio (GloRa), Sens. Mater., Vol. 33, No. 7, 2021, p. 2345-2364. |