Duran Bernardes Suzana, Ozbay Kaan
C2SMART Center (Tier 1 UTC Funded by USDOT), Department of Civil and Urban Engineering, New York University, 6 MetroTech Center 4th Floor, Brooklyn, NY 11201, USA.
Sensors (Basel). 2023 Jul 17;23(14):6471. doi: 10.3390/s23146471.
The popularity of bicycles as a mode of transportation has been steadily increasing. However, concerns about cyclist safety persist due to a need for comprehensive data. This data scarcity hinders accurate assessment of bicycle safety and identification of factors that contribute to the occurrence and severity of bicycle collisions in urban environments. This paper presents the development of the BSafe-360, a novel multi-sensor device designed as a data acquisition system (DAS) for collecting naturalistic cycling data, which provides a high granularity of cyclist behavior and interactions with other road users. For the hardware component, the BSafe-360 utilizes a Raspberry Pi microcomputer, a Global Positioning System (GPS) antenna and receiver, two ultrasonic sensors, an inertial measurement unit (IMU), and a real-time clock (RTC), which are all housed within a customized bicycle phone case. To handle the software aspect, BSafe-360 has two Python scripts that manage data processing and storage in both local and online databases. To demonstrate the capabilities of the device, we conducted a proof of concept experiment, collecting data for seven hours. In addition to utilizing the BSafe-360, we included data from CCTV and weather information in the data analysis step for verifying the occurrence of critical events, ensuring comprehensive coverage of all relevant information. The combination of sensors within a single device enables the collection of crucial data for bicycle safety studies, including bicycle trajectory, lateral passing distance (LPD), and cyclist behavior. Our findings show that the BSafe-360 is a promising tool for collecting naturalistic cycling data, facilitating a deeper understanding of bicycle safety and improving it. By effectively improving bicycle safety, numerous benefits can be realized, including the potential to reduce bicycle injuries and fatalities to zero in the near future.
自行车作为一种交通方式越来越受欢迎。然而，由于需要全面的数据，对骑自行车者安全的担忧依然存在。这种数据稀缺阻碍了对自行车安全的准确评估，以及对城市环境中导致自行车碰撞发生和严重程度的因素的识别。本文介绍了BSafe - 360的开发，这是一种新型多传感器设备，设计用作数据采集系统（DAS），用于收集自然骑行数据，该系统提供了骑行者行为以及与其他道路使用者互动的高粒度信息。对于硬件组件，BSafe - 360利用树莓派微型计算机、全球定位系统（GPS）天线和接收器、两个超声波传感器、一个惯性测量单元（IMU）和一个实时时钟（RTC），所有这些都安装在一个定制的自行车手机壳内。为处理软件方面，BSafe - 360有两个Python脚本，用于管理本地和在线数据库中的数据处理和存储。为了展示该设备的功能，我们进行了一个概念验证实验，收集了七个小时的数据。除了使用BSafe - 360，我们在数据分析步骤中还纳入了来自闭路电视的数据和天气信息，以验证关键事件的发生，确保全面涵盖所有相关信息。单个设备内的传感器组合能够收集自行车安全研究的关键数据，包括自行车轨迹、横向通过距离（LPD）和骑行者行为。我们的研究结果表明，BSafe - 360是收集自然骑行数据的一个有前途的工具，有助于更深入地理解自行车安全并加以改善。通过有效提高自行车安全，可以实现许多好处，包括在不久的将来有可能将自行车伤害和死亡人数降至零。
