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“Traffic Congestion Triangle” Based on More than One-Month Real Traffic Big Data Analysis in India

机译:“交通拥堵三角”基于印度的超过一个月真正的交通大数据分析

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This research describes new traffic congestion analysis method “Traffic Congestion Triangle” based on more than one month real traffic big data analysis in India. The location of the research is one of typical economical growing cities Ahmedabad in Gujarat state of India. The traffic congestion becomes more serious issues in most developing countries and the congestion causes so called negative impact of environment destruction, un-necessity fuel consumption, health problem, economical loss and fatality by traffic accidents. Therefore there are lots of challenges for transportation under many projects focused on “smart city” development. The traffic analysis and theory have been developed after 1950s and it has helped many countries. However there are still lot of unknown condition in traffic analysis of developing countries. This research started from 2015 and it enables to get real traffic flow data. This manuscript is described not only the typical traffic flow characteristics such as daily traffic volume but also introduces unique traffic congestion characteristics by using “occupancy” which has triangle shape characteristics as traffic congestion daily trend.
机译:本研究描述了新的交通拥堵分析方法“交通拥堵三角”,基于印度的一个多月份真正的交通大数据分析。该研究的位置是古吉拉特邦印度典型经济增长城市艾哈迈达巴德之一。交通拥堵成为大多数发展中国家的更严重问题,拥堵导致环境破坏,不必要的燃料消费,健康问题,健康问题,经济损失和致命因交通事故而受到影响。因此,在众多项目上侧重于“智能城市”发展,运输有很多挑战。在20世纪50年代之后,交通分析和理论已经在许多国家帮助了。然而,发展中国家的交通分析仍有很多未知的条件。这项研究从2015年开始,它可以获得真正的交通流数据。该稿件不仅描述了每日交通量的典型交通流量特性,而且还通过使用具有三角形特征的“占用”作为交通拥堵日常趋势来引入独特的交通拥堵特性。

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