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Towards smart cities: crowdsensing-based monitoring of transportation infrastructure using in-traffic vehicles
Journal of Civil Structural Health Monitoring ( IF 3.6 ) Pub Date : 2020-06-01 , DOI: 10.1007/s13349-020-00411-6
Qipei Mei , Mustafa Gül , Nima Shirzad-Ghaleroudkhani

This paper presents a novel framework for transportation infrastructure monitoring using sensors in crowdsourced moving vehicles. Vehicles equipped with various kinds of sensors have the potential to be the perfect tools for assessing the overall health condition of transportation infrastructure at the city level. Three applications of crowdsensing-based techniques are introduced in this paper to evaluate the framework. First, a methodology using the vibration data collected from a large number of smartphones in moving vehicles for bridge damage detection is presented. Lab experiments are conducted to verify the method. Second, a lab experiment investigating the feasibility of gyroscope in smartphones for road deformation measurement is described. Third, a sport camera is used to assess road surface condition. These three applications demonstrate the potential of crowdsensing-based techniques to accomplish low cost and efficient transportation infrastructure monitoring.

中文翻译:

迈向智慧城市:使用交通运输工具基于人群感知的交通基础设施监控

本文提出了一种使用众包行驶车辆中的传感器进行交通基础设施监控的新颖框架。配备各种传感器的车辆有可能成为评估城市交通基础设施整体健康状况的理想工具。本文介绍了基于人群感知技术的三种应用,以评估该框架。首先,提出了一种使用从移动车​​辆中大量智能手机收集的振动数据进行桥梁损伤检测的方法。进行实验室实验以验证该方法。其次,描述了一个实验室实验,研究了陀螺仪在智能手机中用于道路变形测量的可行性。第三,运动相机用于评估路面状况。
更新日期:2020-06-01
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