In crowdsourcing applications, the quality of the crowdsourced data is decisive to the success of subsequent system-level mining processes. We proposed a smartphone probe car (SPC) system to monitor road pavement. An SPC is essentially an ordinary vehicle with a mounted smartphone that runs sensing programs to objectively assess bumping caused by road anomalies such as potholes and bumps. The proposed system has several features. First, to allow dynamic forming of SPCs, we develop a signal processing heuristic for the extraction of the vertical acceleration components from the accelerometer readings (upon which bumping detection and road surface anomaly assessment rely). By these means, the proposed system provides a driver-friendly environment, requiring neither complicated installation nor driver-assisted training processes, and thus is possible to achieve hassle-free mass deployment such that drivers would be willing to participate in crowdsourcing. Second, based on the underdamped oscillation model, we propose a road anomaly indexing heuristic that is representable for road anomalies rather than vehicle conditions. This will later facilitate the system-level data mining processes in the servers. Third, a prototype SPC system was implemented and extensive field tests were undertaken to verify the performance of our system framework. Furthermore, we experimentally adopted a DENCLUE-like algorithm to mine road anomaly information from reported events to demonstrate any potential benefit from future investigation of data mining process at the system level. We believe the research works introduced in this paper consist the first step toward building an "ecosystem" of SPC-based crowdsourcing traffic and road monitoring applications.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Toward Crowdsourcing-Based Road Pavement Monitoring by Mobile Sensing Technologies




    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    55.84 / 55.24 / 55.84 Straßenverkehr / 55.24 Fahrzeugführung, Fahrtechnik



    Toward Crowdsourcing-Based Road Pavement Monitoring by Mobile Sensing Technologies

    Yi, Chih-Wei / Chuang, Yi-Ta / Nian, Chia-Sheng | IEEE | 2015


    CRSM: Crowdsourcing Based Road Surface Monitoring

    Chen, Kongyang / Lu, Mingming / Tan, Guang et al. | IEEE | 2013


    Crowdsourcing-Based Road Surface Evaluation and Indexing

    Daraghmi, Yousef-Awwad / Wu, Tsung-Hsiang / Ik, Tsi-Ui | IEEE | 2022



    CLRIC: Collecting Lane-Based Road Information Via Crowdsourcing

    Tang, Luliang / Yang, Xue / Dong, Zhen et al. | IEEE | 2016