Use of equipment for collecting and processing data in intelligent transportation systems to improve traffic indicators

机译：使用设备收集和处理智能交通系统中的数据以改善交通指标

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Development of urban traffic, travel highlights three significant phases: daily commute to and from jobs, afternoon trips to different areas of commercial or cultural interest, periods of “weekend”. These three phases can show great variety in structure and intensity of urban traffic, the composition of the car which has an important role, with great quality to ensure maximum comfort of travel. In our country, due to rapid motorization process is required for infrastructure development and upgrading of the existing road. Urban and rural population mobility are directly affected. In this paper we propose to present the evolution calculation the average number of vehicles per hour in Bucharest, one of the most important routes crossing the city from north to south, namely the axis- University Square, Victoria Square. We present graphs with the average number of cars / hour over 24 hours every day of the week 20–24.06.2011 compared with the same in 2008 (23 to 27. 06.2008). Owing to equipment traffic on this area, we see an increase in the average number of vehicles passing through the above mentioned axis so by comparing the values in each hour in 2009 compared to those of 2008 and by comparing mean values in the range 7–19.

机译：城市交通的发展突出了三个重要的阶段：每天上下班和通勤，下午到各个具有商业或文化意义的地区旅行，“周末”时段。这三个阶段可以显示出城市交通的结构和强度各不相同，其中汽车的组成起着重要的作用，其质量保证了最大的出行舒适性。在我国，由于基础设施的发展和现有道路的升级需要快速的机动化过程。城乡人口流动受到直接影响。在本文中，我们建议以布加勒斯特每小时的平均车辆数量进行演化计算，布加勒斯特是从北向南穿越城市的最重要路线之一，即中轴线大学广场，维多利亚广场。我们提供的图表显示，2011年6月20日至24日的每周24小时内平均每小时的汽车数量与2008年（2008年7月23日至27日）相比有所提高。由于该地区的设备流量，我们发现通过上述轴线的平均车辆数量有所增加，因此，通过比较2009年与2008年的每小时小时数以及比较7-19范围内的平均值。

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《2012 International Conference on Applied and Theoretical Electricity.》|2012年|p.1-5|共5页
会议地点 Craiova(RO);Craiova(RO)
作者
Moise Ilona Madalina; Stanciu Elena Alina; Nemtoi Lacramioara Mihaela;
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作者单位

University Politehnica of Bucharest, Romania;

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原文格式 PDF
正文语种 eng
中图分类电工基础理论;电工基础理论;
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Use of equipment for collecting and processing data in intelligent transportation systems to improve traffic indicators

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