A study on reducing processing time by narrowing down target vehicles in a BLE-based intersection collision prevention system

カテゴリ：国際会議

論文No：D3

グループ名：【C】AVIC2025

発行日：2025/10/20

著者名：Hinata Murakoshi (Nihon University), Yoshiki Sasaki (Nihon University)

キーワード：Intersection collision,Advanced driver assistance systems (ADAS),Global positioning system (GPS),Bluetooth low energy (BLE),Broadcast messaging over Bluetooth (BMoB)

要約(英語)：In recent years, research has been conducted to detect vehicles approaching from blind spots to help prevent intersection collisions at poor visibility intersections. Previously, we proposed a system that can predict potential collisions by receiving data from the Global Positioning System (GPS) and transmitting it using Broadcast Messaging over Bluetooth (BMoB) via Bluetooth Low Energy (BLE). However, performing calculations on all BMoB signals received from the numerous BLE devices present in the surrounding environment significantly increases processing time. In this paper, we report on the development and evaluation of a system that estimates potential collisions only for "Target" vehicles deemed to pose a collision risk, by appending heading direction information to the BMoB data, and confirm that this approach enables a reduction in processing time. As a result, it was shown that the processing time can be reduced by approximately 10.71 ms for each additional "Target" vehicle excluded from the calculation. This demonstrates that, by filtering BMoB signals received from the many BLE devices in the vicinity to focus only on “Target” vehicles with a potential collision risk, the overall processing time of the program can be effectively reduced.

本誌掲載ページ：77-80p

原稿種別：英語

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