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低成本且数据匿名化的城市交通流数据采集,以支持智能交通系统。

Low-Cost and Data Anonymised City Traffic Flow Data Collection to Support Intelligent Traffic System.

机构信息

School of Computer Science, University of Bedfordshire, Luton LU1 3JU, UK.

出版信息

Sensors (Basel). 2019 Jan 16;19(2):347. doi: 10.3390/s19020347.

DOI:10.3390/s19020347
PMID:30654549
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6358924/
Abstract

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.

摘要

有许多收集交通流量数据的方法,特别是使用智能手机应用程序。然而,目前很少有解决方案能够在收集完整路线数据的同时兼顾隐私保护和低成本的需求。本项目研究了创建一个无线传感器网络(WSN),以平衡这些要求,试图消除此类技术带来的一些问题。我们提出的系统只在定义的城市区域内收集位置数据。使用随机标识符收集此数据,这限制了对源车辆及其乘员的重复识别。当车辆和路边基站在范围内时,收集的数据在两者之间共享。为了处理这种情况的流动性,使用了专门设计的媒体访问控制(MAC)协议,并使用信标时隙 ALOHA(夏威夷 Linux 开源倡导者协会)机制来实现该协议。

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