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Streetfighter - Streetlight-integrated Sensor Platform - Live deployment trial

The Streetfighter live trial included a traffic and environmental sensor platform integrated into a streetlight housing on a campus road.

The project investigated the traffic detection performance of low-cost sensors to determine if a streetlight-integrated system would be viable in a ubiquitous deployment. This system included a passive-infrared (PIR) sensor for motion-based traffic detection, and sonar and lidar sensors for distance-based detection.

  • The HC SR-501 PIR motion sensor typically undercounted traffic due to its detection mechanisms being ill-suited to the changing speeds and density of vehicular traffic.
  • The MB1240 sonar was operating beyond its rated range and did not produce useful data.
  • The LidarLite v1 lidar could detect a limited number of traffic events due, but missed most traffic due to improper mounting.

This dataset consists of the following folders/files available via a CloudStor link:

  • StreetFighter Video 2015-10-08: contains 20 video files in Audio Video Interleave (.AVI) format (1.2 GB) - 2015-10-08 Med39 Traffic (01) - (20)
  • StreetFighter Video 2015-12-08: contains 29 video files in Audio Video Interleave (.AVI) format (1.9 GB) - 2015-12-08 TrafficCam (01) - (29)
  • StreetFighter Traffic Events 2015-10-08.zip: contains 3, 707 compressed image files in JPEG (.jpg) format (92.4 MB) - motion 2015-10-08 08.24.14 - 17.54.36
  • streetfighter_sensor_data: 1 file in comma-separated values (.csv) format (379.9 MB). 
  • streetfighter_sensor_data_metadata: 1 file in Markdown (.md) format (2 KB). The metadata file is also saved in PDF format and attached.
  • streetfighter_video_2015-10-08: 1 file in comma-separated values (.csv) format (36 KB) - video_events_time variable

The streetfighter_sensor_data CSV file exceeds row limits for opening in Microsoft Excel. It can be handled in a number of ways e.g. imported into an Access database, opened in a text editor such as Notepad++ or opened in the 'R' software environment by using the "read.csv" function.
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    Data Record Details
    Data record related to this publication Streetfighter - Streetlight-integrated Sensor Platform - Live deployment trial
    Data Publication title Streetfighter - Streetlight-integrated Sensor Platform - Live deployment trial
  • Description

    The Streetfighter live trial included a traffic and environmental sensor platform integrated into a streetlight housing on a campus road.

    The project investigated the traffic detection performance of low-cost sensors to determine if a streetlight-integrated system would be viable in a ubiquitous deployment. This system included a passive-infrared (PIR) sensor for motion-based traffic detection, and sonar and lidar sensors for distance-based detection.

    • The HC SR-501 PIR motion sensor typically undercounted traffic due to its detection mechanisms being ill-suited to the changing speeds and density of vehicular traffic.
    • The MB1240 sonar was operating beyond its rated range and did not produce useful data.
    • The LidarLite v1 lidar could detect a limited number of traffic events due, but missed most traffic due to improper mounting.

    This dataset consists of the following folders/files available via a CloudStor link:

    • StreetFighter Video 2015-10-08: contains 20 video files in Audio Video Interleave (.AVI) format (1.2 GB) - 2015-10-08 Med39 Traffic (01) - (20)
    • StreetFighter Video 2015-12-08: contains 29 video files in Audio Video Interleave (.AVI) format (1.9 GB) - 2015-12-08 TrafficCam (01) - (29)
    • StreetFighter Traffic Events 2015-10-08.zip: contains 3, 707 compressed image files in JPEG (.jpg) format (92.4 MB) - motion 2015-10-08 08.24.14 - 17.54.36
    • streetfighter_sensor_data: 1 file in comma-separated values (.csv) format (379.9 MB). 
    • streetfighter_sensor_data_metadata: 1 file in Markdown (.md) format (2 KB). The metadata file is also saved in PDF format and attached.
    • streetfighter_video_2015-10-08: 1 file in comma-separated values (.csv) format (36 KB) - video_events_time variable

    The streetfighter_sensor_data CSV file exceeds row limits for opening in Microsoft Excel. It can be handled in a number of ways e.g. imported into an Access database, opened in a text editor such as Notepad++ or opened in the 'R' software environment by using the "read.csv" function.

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  • Other Descriptors
    • Descriptor
      • Descriptor type
    • Data type dataset
  • Keywords
    • commodity sensors
    • traffic detection
    • internet of things
  • Funding source
  • Research grant(s)/Scheme name(s)
    • -
    • Research themes
    Industries and Economies in the Tropics
    People and Societies in the Tropics
    FoR Codes (*)
    SEO Codes
- Specify coverage
    Specify spatial or temporal setting of the data
    Temporal (time) coverage
  • Start Date 2015/09/26
  • End Date 2016/03/19
    • Time Period
    Spatial (location) coverage
  • Locations
    • James Cook University, Townsville, Queensland, Australia
- Data
- Related resources
  • Related publications
      Name Mohring, Karl, Myers, Trina, and Atkinson, Ian (2018) Playing in traffic: an investigation of low-cost, non-invasive traffic sensors for street light luminaire deployments. International Journal of Grid and Utility Computing, 9 (4). pp. 333-344.
    • URL https://doi.org/10.1504/IJGUC.2018.10016123
    • Notes
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    • URL
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  • Related websites
  • Related metadata (including standards, codebooks, vocabularies, thesauri, ontologies)
      Name
    • URL
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- License
- Citation
    Citation Mohring, Karl (2018): Streetfighter - Streetlight-integrated Sensor Platform - Live deployment trial. James Cook University. https://doi.org/10.25903/5c0765e975664