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Low-Cost and Data Anonymised City Traffic Flow Data Collection to Support Intelligent Traffic System
There are many methods of collecting traffic flow data, especially using smart phone apps. However, few current solutions balance the need for collecting full route data whilst respecting privacy and remaining low-cost. This project looks into the creation of a wireless sensor network (WSN) that can...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358924/ https://www.ncbi.nlm.nih.gov/pubmed/30654549 http://dx.doi.org/10.3390/s19020347 |
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author | Handscombe, Jonathon Yu, Hong Qing |
author_facet | Handscombe, Jonathon Yu, Hong Qing |
author_sort | Handscombe, Jonathon |
collection | PubMed |
description | There are many methods of collecting traffic flow data, especially using smart phone apps. However, few current solutions balance the need for collecting full route data whilst respecting privacy and remaining low-cost. This project looks into the creation of a wireless sensor network (WSN) that can balance these requirements in an attempt to negate some of the concerns that come with this type of technology. Our proposed system only collects location data within a defined city area. This data is collected with a randomized identifier, which limits repeated identification of the source vehicle and its occupants. Data collected is shared between vehicle and roadside base stations when the two are in range. To deal with the fluid nature of this scenario, a purposely designed Media Access Control (MAC) protocol was designed and implemented using the beacon-slotted ALOHA (Advocates of Linux Open-source Hawaii Association) mechanism. |
format | Online Article Text |
id | pubmed-6358924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63589242019-02-06 Low-Cost and Data Anonymised City Traffic Flow Data Collection to Support Intelligent Traffic System Handscombe, Jonathon Yu, Hong Qing Sensors (Basel) Article There are many methods of collecting traffic flow data, especially using smart phone apps. However, few current solutions balance the need for collecting full route data whilst respecting privacy and remaining low-cost. This project looks into the creation of a wireless sensor network (WSN) that can balance these requirements in an attempt to negate some of the concerns that come with this type of technology. Our proposed system only collects location data within a defined city area. This data is collected with a randomized identifier, which limits repeated identification of the source vehicle and its occupants. Data collected is shared between vehicle and roadside base stations when the two are in range. To deal with the fluid nature of this scenario, a purposely designed Media Access Control (MAC) protocol was designed and implemented using the beacon-slotted ALOHA (Advocates of Linux Open-source Hawaii Association) mechanism. MDPI 2019-01-16 /pmc/articles/PMC6358924/ /pubmed/30654549 http://dx.doi.org/10.3390/s19020347 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Handscombe, Jonathon Yu, Hong Qing Low-Cost and Data Anonymised City Traffic Flow Data Collection to Support Intelligent Traffic System |
title | Low-Cost and Data Anonymised City Traffic Flow Data Collection to Support Intelligent Traffic System |
title_full | Low-Cost and Data Anonymised City Traffic Flow Data Collection to Support Intelligent Traffic System |
title_fullStr | Low-Cost and Data Anonymised City Traffic Flow Data Collection to Support Intelligent Traffic System |
title_full_unstemmed | Low-Cost and Data Anonymised City Traffic Flow Data Collection to Support Intelligent Traffic System |
title_short | Low-Cost and Data Anonymised City Traffic Flow Data Collection to Support Intelligent Traffic System |
title_sort | low-cost and data anonymised city traffic flow data collection to support intelligent traffic system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358924/ https://www.ncbi.nlm.nih.gov/pubmed/30654549 http://dx.doi.org/10.3390/s19020347 |
work_keys_str_mv | AT handscombejonathon lowcostanddataanonymisedcitytrafficflowdatacollectiontosupportintelligenttrafficsystem AT yuhongqing lowcostanddataanonymisedcitytrafficflowdatacollectiontosupportintelligenttrafficsystem |