The utilization of mobile sensing through the deployment of sensors on third-party vehicles that pass by an area offers notable benefits in terms of spatiotemporal coverage, precision, timeliness, and cost-effectiveness for monitoring urban environments. However, the diverse travel behaviors exhibited by different types of vehicle fleets result in varying levels of sensing powers. Drawing inspiration from these phenomena, this study quantifies and compares the travel patterns and sensing powers of bus and taxi fleets. The experimental findings unveiled several noteworthy laws, such as a diminishing rate of increase in sensing power with the stable increasing vehicle number, the high sensing power exhibited by taxis, the comparable spatial coverage between buses, and the relatively low uncertainty associated with buses' sensing power. Furthermore, the impact of travel patterns (i.e., semi-random behavior of taxis and deterministic behavior of buses) on the powers of mobile sensing was revealed. The aforementioned findings provide valuable insights for the development of efficient mobile sensing schemes and hold significant relevance for the implementation of smart city infrastructure.

中文翻译：

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揭示半随机和确定性“路过”车队的移动传感能力

通过在经过某个区域的第三方车辆上部署传感器来利用移动传感，在监测城市环境的时空覆盖范围、精度、及时性和成本效益方面具有显着的优势。然而，不同类型的车队表现出不同的行驶行为，导致传感能力水平不同。受这些现象的启发，本研究量化并比较了公交车和出租车车队的出行模式和传感能力。实验结果揭示了一些值得注意的规律，例如随着车辆数量的稳定增长，传感功率的增长速度递减、出租车表现出的高传感功率、公共汽车之间可比较的空间覆盖范围以及与公共汽车传感相关的相对较低的不确定性力量。此外，还揭示了出行模式（即出租车的半随机行为和公交车的确定性行为）对移动传感能力的影响。上述研究结果为开发高效的移动传感方案提供了宝贵的见解，并对智慧城市基础设施的实施具有重要意义。