MobIntel: Sensing and Analytics Infrastructure for Urban Mobility Intelligence

Stepan Mazokha, Fanchen Bao, Jiannan Zhai, J. Hallstrom
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引用次数: 2

Abstract

Mobility monitoring in urban environments can provide valuable insights into pedestrian and vehicle movement. Understanding the causes and effects of changing mobility patterns can help city officials and businesses optimize operations and support economic development. In this paper, we present MobIntel, an alternative to visual surveillance technologies for mobility monitoring. We deployed multiple radio frequency sensors in downtown West Palm Beach and enabled a system for providing valuable metrics concerning pedestrian activity patterns. We discuss several obstacles to accurate trajectory monitoring, such as MAC address randomization and sensor range issues.
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MobIntel:城市移动智能的传感和分析基础设施
城市环境中的移动监测可以为行人和车辆的运动提供有价值的见解。了解交通模式变化的原因和影响可以帮助城市官员和企业优化运营,支持经济发展。在本文中,我们提出了MobIntel,一种用于移动监控的视觉监控技术的替代方案。我们在西棕榈滩市中心部署了多个射频传感器,并启用了一个系统,提供有关行人活动模式的有价值指标。我们讨论了精确轨迹监测的几个障碍,如MAC地址随机化和传感器范围问题。
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