群体性事件对城市日常交通的影响分析

M. Ziemska, L. Smolarek
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引用次数: 4

摘要

格丁尼亚市越来越多地成为各种群众活动的组织者。许多活动对这个城市作为一个旅游区有积极的影响,但不幸的是,就活动期间的交通状况而言,对居民来说是消极的。为了让城市居民生活得更好,城市交通工程师正在努力匹配信号灯或绕行,以克服负面影响。不良影响应尽可能降低。使用三城智能运动控制系统- TRISTAR的数据。智能交通系统能够实时提供交通信息,并拥有庞大的过去记录数据库。从该数据库创建了ARIMA模型。这些模型显示了2017年6月一场大型活动造成的流量增加的影响。ARIMA模型可以显示有和没有偶数的日子之间的差异,从而对未来的情况做出重要预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the effect of mass events on car traffic in the city in the daily interval
The city of Gdynia is more and more often the organizer of various mass events. Numerous events have a positive coefficient for the city as a tourist region but unfortunately negative for residents in terms of traffic conditions during the event. In order for the city to live well, urban traffic engineers are trying to match light signals or detours to overcome the negative impact. Bad influence should be as low as possible. Using the data from Tri-City Intelligent Motion Control System — TRISTAR. Intelligent transportation system gives information about traffic in real time and also has a huge data base records from the past. From that data base ARIMA models were created. The models show the impact of increased traffic caused by a mass event in June 2017. ARIMA models could show the differences between days with and without evens to give important predict for the future situations.
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