Research Data

Streetfighter controlled trial - Follow-up test I

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General
Title
Streetfighter controlled trial - Follow-up test I
Type
Dataset
Date Record Created
2018-12-03
Date Record Modified
2019-01-04
Language
English
Coverage
Date Coverage
2017-06-11 to 2017-06-11
Time Period
(no information)
Geospatial Location
  • James Cook University, Townsville, Queensland, Australia
Description
Descriptions
  1. Type: full

    Live traffic test of the Streetfighter prototype traffic detection system using controlled traffic.

    This dataset involves controlled passes of vehicular traffic with a sensor platform located six metres above the road surface.

    Included in the platform were the following sensors:
    - 2 * HC-SR501 Wide angle PIR motion detectors
    - 1 * Panasonic AMN33111J Narrow angle PIR motion detector
    - 1 * LidarLite v1 lidar
    - 2 * Melexis MLX90621 thermopile array

    Tests were conducted with single or multiple vehicles travelling at 30-40 km/h, and with following times ranging from 2 - 10 seconds in both directions of travel, directly underneath the sensor platform.

    This dataset consists of the following folders/files:

    • Follow-up test 1 Results: 1 data file in OpenDocument (.ods) format (79 KB)  - analysis of collected results
    • Vehicle Events.zip: contains 170 compressed image files in JPEG (.jpg) format - video detections of counted by computer vision (4.6 MB) and an events log in .csv format

    The CloudStor link includes the files listed above as well as:

    • Data.zip: contains 13 files in comma-separated values (.csv) format and 1 file in Markdown (.md) format (205 KB). The markdown file (sensor data metadata) is also saved in PDF format and attached.
    • Raw.zip: contains 14 log files (1.2 MB)
    • Video.zip: contains 4 video files in MOV (.mov) format - 1 for the initial test and 3 for the main test (2.8 GB)

     

     

Related Publications
  1. Mohring, Karl, Myers, Trina, and Atkinson, Ian (2018) A controlled trial of a commodity sensors for a streetlight-mounted traffic detection system. In: Proceedings of the Australasian Computer Science Week Multiconference. From: ACSW'18: Australasian Computer Science Week Multiconference, 29 January - 2 February 2018, Brisbane, QLD, Australia.
Related Websites
  1. Tripwire code library - Lidar algorithm
  2. Test platform firmware
  3. PIR code library
  4. Thermal tracking code library
  5. Thermal tracking firmware
Related Data
(no information)
Related Services
(no information)
Technical metadata
(no information)
People
Creators
  1. Owned by: Mr Karl Mohring , karl.mohring@jcu.edu.au , College of Business, Law & Governance, eResearch Centre
Primary Contact
Mr Karl Mohring, karl.mohring@jcu.edu.au
Supervisors
  1. A/Prof Trina Myers , trina.myers@jcu.edu.au
  2. Prof Ian Atkinson , ian.atkinson@jcu.edu.au
Collaborators
(no information)
Subject
Fields of Research
  1. 090601 - Circuits and Systems (090601)
Socio-Economic Objective
  1. 890199 - Communication Networks and Services not elsewhere classified (890199)
Keywords
  1. commodity sensors
  2. internet of things
  3. traffic detection
Research Activity
(no information)
Research Themes
Industries and Economies in the Tropics
People and Societies in the Tropics
Rights
License
CC BY-NC-SA 4.0: Attribution-Noncommercial-Share Alike 4.0 International
License - Other
(no information)
Access Rights/Conditions
Open access. If the data is not freely accessible via the link provided, please contact the nominated data manager or researchdata@jcu.edu.au for assistance.
Type
open
Rights
(no information)
Data
Data Location
Online Locations
  1. https://cloudstor.aarnet.edu.au/plus/s/dYwUnpfeJ1cdgCk
Attachments
  1. Vehicle Events.zip (Storage Attachments, Public)
  2. Data.zip (Storage Attachments, Public)
  3. Follow-up test 1 Results.ods (Storage Attachments, Public)
  4. metadata.pdf (Supporting Material, Public)
Stored At
(no information)
Citation
Cite:
Mohring, K. (2019). Streetfighter controlled trial - Follow-up test I. James Cook University. (dataset). http://dx.doi.org/10.25903/5c2ea9492dc44
Digital Object Identifier (DOI):
10.25903/5c2ea9492dc44