Pedestrian Path Modification Mobile Tool for COVID-19 Social Distancing for Use in Multi-Modal Trip Navigation
Pedestrian Path Modification Mobile Tool for COVID-19 Social Distancing for Use in Multi-Modal Trip Navigation
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用于 COVID-19 社交距离的行人路径修改移动工具，用于多模式旅行导航
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
L. Guvenç
中科院分区：
文献类型：
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作者：
S. Y. Gelbal;Mustafa Ridvan Cantas;B. A. Güvenç;L. Guvenç
新奇的冠状病毒大流行是目前最大的世界性问题之一。虽然卫生和戴口罩在疾病控制和预防中心(CDC)和世界卫生组织(WHO)目前建议的预防措施中占了很大比例，但社交距离是另一个也可以说是保护人们的最重要的预防措施，因为空气传播的病毒很容易通过空气传播。如果行人知道彼此的位置，如果他们知道可能携带病毒的人的位置，那么在户外行走时社交距离可能会更有效。有了这些信息，他们可以根据附近步行的人改变路线，或者他们可以远离包含或最近包含人群的区域。本文介绍了一款移动设备应用程序，它将是2019年冠状病毒病(新冠肺炎)期间非常有益的社交距离工具。该应用程序以联网的方式近乎实时地同步工作，所有用户都会获得自己的位置，并在他们周围画出一个虚拟的安全气泡。这些安全气泡与恒速行人模型一起使用，以预测未来可能发生的社交距离违规行为，并向用户发出声音和振动警告。此外，它还考虑到病毒在空气中停留一定时间，因此在用户过去的轨迹中创建了随时间衰减的非安全区域。当作为多模式出行计划应用程序的一部分使用时，这款移动应用程序会生成无碰撞路径，用于导航步行交通方式不想要的位置。研究结果也适用于其他交通方式。文中讨论了该系统的特点和实现方法。该应用程序使用之前在真实环境中收集的真实行人行走数据进行了测试。
The novel Corona virus pandemic is one of the biggest worldwide problems right now. While hygiene and wearing masks make up a large portion of the currently suggested precautions by the Centers for Disease Control and Prevention (CDC) and World Health Organization (WHO), social distancing is another and arguably the most important precaution that would protect people since the airborne virus is easily transmitted through the air. Social distancing while walking outside, can be more effective, if pedestrians know locations of each other and even better if they know locations of people who are possible carriers. With this information, they can change their routes depending on the people walking nearby or they can stay away from areas that contain or have recently contained crowds. This paper presents a mobile device application that would be a very beneficial tool for social distancing during Coronavirus Disease 2019 (COVID-19). The application works, synced close to real-time, in a networking fashion with all users obtaining their locations and drawing a virtual safety bubble around them. These safety bubbles are used with the constant velocity pedestrian model to predict possible future social distancing violations and warn the user with sound and vibration. Moreover, it takes into account the virus staying airborne for a certain time, hence, creating time-decaying non-safe areas in the past trajectories of the users. The mobile app generates collision free paths for navigating around the undesired locations for the pedestrian mode of transportation when used as part of a multi-modal trip planning app. Results are applicable to other modes of transportation also. Features and the methods used for implementation are discussed in the paper. The application is tested using previously collected real pedestrian walking data in a realistic environment.
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