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Data collection and analysis of macroscopic real-time urban traffic flow

机译:宏观实时城市交通流量数据采集与分析

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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.
机译:这项研究是在JNU的小型现实世界区域进行的,在该区域中,对流量趋势进行了手动监控。为了分析JNU的宏观流量,已经考虑了一个月的数据。从四个不同的入口/存在闸口观察到了交通模式。在本文中,分析了在1019.38英亩的区域中,一个月,24小时的实际车辆通行情况。此外,已经观察到现实世界的行为,例如晚上的流量低和晚上9:00左右的高峰传入流量以及不包括周末的大约5:00 PM传出流量。通过给定的车辆流量计算密度和速度。随后,讨论了交通流模型的实现,即流量-密度关系。在这种情况下,出现了在数据可用性较低的情况下缩放因子的重要性。

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