宏观实时城市交通流数据采集与分析

Nidhi, D. K. Lobiyal
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引用次数: 2

摘要

这项研究是在JNU的一个小的现实世界区域进行的,在那里,交通趋势是人工监控的。采用一个月的数据进行宏观交通流分析。从四个不同的入口/存在门观察交通模式。在此基础上,分析了1019.38英亩区域内一个月24小时交通的现实汽车机动性。此外,现实世界的行为,如夜间交通量低,上午9点左右的高峰进入交通量和下午5点左右的高峰流出交通量,已被观察到,不包括周末。密度和速度由给定的车辆流量计算。然后讨论了交通流模型即流量-密度关系的实现。在这种情况下,比例因子在数据可用性较低的情况下的重要性就显现出来了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data collection and analysis of macroscopic real-time urban traffic flow
The study has been conducted on the small real world area of JNU where the traffic trends were monitored manually. One month data has been taken into consideration for analyzing the macroscopic traffic flow of JNU. The traffic patterns were observed from the four different entrance/exist gates. In this, the realistic car mobility covering one month, 24 hour traffic in a span of 1019.38 acres region has been analyzed. Further, the real world behavior such as low traffic at night and high peak Incoming traffic at around 9:00 AM and outgoing at around 5:00 PM, excluding weekends, has been observed. The density and speed was calculated by the given flow of vehicular traffic. Later, the realization of traffic stream model i.e. flow-density relation was discussed. In this, the importance of scaling factor in case of less data availability came into picture.
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