IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt3qr9v29d.html
   My bibliography  Save this paper

Evaluation of Feasibility of UAV Technologies for Remote Surveying BART Rail Systems

Author

Listed:
  • Lau Banh, Megan
  • Foina, Aislan
  • Li, Dachuan
  • Lin, Yeshun
  • Nerona Redondo, Xavier Aloysius
  • Shong, Charlene
  • Zhang, Wei-Bin

Abstract

Routine inspection and monitoring of railway tracks and facilities is an important task to ensure operational safety. The existing standard manual and rail vehicle based investigation are substantially time consuming and inaccurate. UAV-based autonomous monitoring and inspection technology has shown great potential in many fields and industries but it has been rarely explored in railway transit systems. UC Berkeley California Partners for Advanced Transportation Technologies (PATH) in partnership with Bay Area Rapid Transit (BART) investigated the application of unmanned aerial vehicles (UAV) and autonomous rail-based vehicles for autonomous routine inspection of the BART rail system, as well as rapid assessment of the BART system in case of emergency (train derailment, criminal events, earthquake, fire, and chemical leakage). The UAVs may also be utilized to monitor areas of interest, people or objects within BART’s system and provide real-time visual and location information regarding where the events occur. The primary purpose of the UAV@BART application is to reduce human labors on routine maintenance tasks, and improve operational safety and personnel security by utilizing UAV technologies in BART system inspection and monitoring.

Suggested Citation

  • Lau Banh, Megan & Foina, Aislan & Li, Dachuan & Lin, Yeshun & Nerona Redondo, Xavier Aloysius & Shong, Charlene & Zhang, Wei-Bin, 2018. "Evaluation of Feasibility of UAV Technologies for Remote Surveying BART Rail Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3qr9v29d, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt3qr9v29d
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/3qr9v29d.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Engineering;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsrrp:qt3qr9v29d. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.