Time Zone Impact for Traffic Flow Analysis of Ahmedabad City in India

T. Tsuboi
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引用次数: 3

Abstract

This paper describes time zone impact for traffic flow analysis in an one of major city in India based on one month real traffic monitoring big data. The target city is Ahmedabad of Gujarat state where is located in the west part of India. The current population in Ahmedabad is about 7.8 Million and it is one of rapid economic growing city. These days, the traffic congestion in the city become one of major issues. In order to analyse traffic congestion, large amount of the traffic big data is needed and it is collected through the traffic monitoring camera. The measurement of the data is traffic density, traffic occupancy and average of speed of vehicles which is measured at the road by every minute. The traffic data in emerging countries is not well analyzed so far because of difficulty of collecting traffic data. Author has a chance to involve one of traffic project which provides traffic condition to the drivers through traffic information boards and makes suggestions for avoiding traffic congestion. The current judgement of the traffic congestion is based on the occupancy of the road which is one of traffic flow parameters. This occupancy is not so accuracy sometimes because of difficulty of 100 % vehicle sensing. In this paper, it describes the time zone basis traffic flow analysis in the traffic flow characteristics such as traffic density to average vehicle speed curve, traffic density to traffic volume curve, and traffic volume to average vehicle speed. This analysis is able to identify the effect of time zone to traffic flow condition and provide more appropriate occupancy level for traffic congestion.
印度艾哈迈达巴德市交通流量分析的时区影响
本文基于一个月的真实交通监测大数据,描述了时区对印度某大城市交通流分析的影响。目标城市是古吉拉特邦的艾哈迈达巴德,位于印度西部。艾哈迈达巴德目前人口约为780万,是经济快速增长的城市之一。如今,城市交通拥堵已成为主要问题之一。为了分析交通拥堵,需要大量的交通大数据,这些数据是通过交通监控摄像头采集的。数据的测量是每分钟在道路上测量的交通密度、交通占用率和车辆平均速度。由于收集交通数据的困难,目前新兴国家的交通数据还没有得到很好的分析。作者有机会参与其中一个交通项目,通过交通信息板向驾驶员提供交通状况,并提出避免交通拥堵的建议。目前对交通拥堵的判断主要基于道路占用率,而道路占用率是交通流参数之一。这种占用有时不是很准确,因为很难做到100%的车辆感知。本文在交通密度-平均车速曲线、交通密度-交通量曲线、交通量-平均车速曲线等交通流特征中,描述了基于时区的交通流分析。这一分析能够识别时区对交通流状况的影响,为交通拥堵提供更合适的占用水平。
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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