文章基本信息

标题：Traffic Prediction System in the Urban Area of Thessaloniki City
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作者：Konstantinos Lakakis ; Kalliopi Kyriakou ; Paraskevas Savvaidis 等
期刊名称：American Journal of Geographic Information System
印刷版ISSN：2163-1131
电子版ISSN：2163-114X
出版年度：2014
卷号：3
期号：2
页码：98-107
DOI：10.5923/j.ajgis.20140302.04
语种：English
出版社：Scientific & Academic Publishing Co.
摘要：Traffic congestion is a vulnerable point for every urban area creating affordable situation for citizens. A traffic prediction system could ensure better quality transportation particularly with regard to travelled time which is needed avoiding a further degradation. At the current study it is investigated the effectiveness of a combination of a map-matching process and a prediction method aiming at one traffic prediction system. This case-study institutes also an initial endeavour for traffic prediction with a great amount of data and the less possible human intervention simultaneously, for this reason software such as ArcGIS and Matlab are predominantly used. The contribution of this study can be described in terms of a smart urban navigation system, but also as an expert tool which learns everyday and supports the decision makers about emergency response, optimum business location, or unexpectedly traffic events.
关键词：Traffic Prediction; Kalman Filter; Taxi-vehicles; GPS