Application of Intelligent Transportation Systems in Analyses of Human Spatial Mobility in Cities

M. Borowska-Stefańska, M. Kowalski, P. Kurzyk, M. Mikušová, S. Wiśniewski
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引用次数: 4

Abstract

This article contains results of studies on the applicability of data from Intelligent Transportation Systems (ITS) for the purposes of geographical studies regarding the spatial mobility of inhabitants within a big city. The article focuses on the option of applying two types of sub-systems – induction loops and automatic number-plate recognition (ANPR) – and includes examples of analyses based on the resulting data, which can serve as a basis for mobility studies. The area on the example of which the capabilities of application of ITS data have been presented is Lodz – a large city in central Poland. The conducted research shows that ITS systems offer an enormous potential in providing data for spatial mobility studies. In order to fully exploit its worth, however, it is imperative to expand the research procedure by including, for instance, the results of qualitative research. Also, the interpretation of results obtained on the basis of ITS data ought to be performed with an awareness of numerous significant preliminary and simplifying assumptions.
智能交通系统在城市人类空间流动分析中的应用
本文包含了关于智能交通系统(ITS)数据在大城市居民空间流动性的地理研究中的适用性的研究结果。本文着重于应用两种类型的子系统——感应环路和自动车牌识别(ANPR)——的选择,并包括基于结果数据的分析示例,这些数据可以作为流动性研究的基础。以波兰中部的一个大城市罗兹为例,介绍了应用智能交通系统数据的能力。所进行的研究表明,智能交通系统在为空间流动性研究提供数据方面具有巨大潜力。然而,为了充分发挥其价值,必须扩大研究程序,包括,例如,定性研究的结果。此外,在解释基于ITS数据获得的结果时,应该意识到许多重要的初步和简化的假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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