Browsing by Author "Chan, Ching-Yao"

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A Preliminary Study on SPC-Crowd Pavement Indexing
(2015)
Wu, Tsung-Hsiang
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Yi, Chih-Wei
;
Chan, Ching-Yao
;
Chang, Ya-Lan
;
Tseng, Chien-Chao
In most developed and developing countries, the maintenance of roadway pavement consumes considerable resources and represents a major item in government budget. However, due to the lack of sustainable and systematic approaches to implement long-term road pavement monitoring and assessment, the cost-effectiveness of performing such tasks is often a concern. In this paper, a crowdsourcing framework is proposed as a solution based on a smart probe car (SPC) system that utilizes mobile sensing technologies to collect environmental roadway data. Built upon the probe-vehicle system, the proposed method not only has the potential to save a significant amount of resources but also makes it possible to acquire real-time pavement information in a large scale.
Model the Vibrations of Rack-mounted On-vehicle Devices by Underdamped Oscillations
(2014-01-01)
Chuang, Yi-Ta
;
Yi, Chih-Wei
;
Wu, Tsung-Hsiang
;
Chan, Ching-Yao
;
資訊工程學系
Recently, rack-mounted devices such as smartphones were proposed to be installed on vehicles as the sensing source to detect road surface conditions by measuring the vibrations of the vehicles. However, due to lack of models, most proposed solutions need individual sensing system tuning or training based on extensive experiments to capture overall system characteristics and usually the outcomes can\'t be applied to other systems due to various factors, e.g., the suspension systems of vehicles, the mounting racks or adhering methods, the weight of the onboard device, and even the position on the vehicle. It becomes an obstacle for pervasive deployment of such systems. In this work, we intend to verify the feasibility of modeling vibrations measured by onboard devices by under-damped oscillation model (UOM) through time and frequency domain analyses. If the vibrations of the phone can be modeled by UOM, the measurement uncertainties caused by various factors that affect the sensed vibrations may potentially be eliminated. The vibrations caused by road anomalies could be measured in a relative objective way by the ratio of the vibration caused by road anomalies and the background vibrations. Our experimental results suggest that it is acceptabl to model the vibrations of onboard devices by the UOM.