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Self-Similar Behavior of Highway Road Traffic and Performance Analysis at Toll Plazas

机译:收费广场的公路道路交通自相似行为与性能分析

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摘要

Until recently, the Poisson process has been used to model internet and road traffic queues. It has been established that internet traffic exhibits self-similarity, which is very different from the Poisson process. Motivated by this, efforts have been made to examine whether road traffic is also self-similar. Earlier efforts in this direction indicate that road traffic is indeed self-similar. To substantiate this, this paper examines, by various methods, whether real time traffic on a busy national highway in India is self-similar. The results from this examination prove that the traffic observed on the highway is self-similar. This paper also presents a novel method based on percentiles for computing the Hurst parameter, which is an indicator for the intensity of self-similarity. The paper also validates the percentile method with two other existing methods. Additionally, the traffic at a toll plaza on the highway has been modelled as queueing system, and performance measures have also been computed, namely, mean queue length and busy period distribution. The numerical results clearly demonstrate that the analysis presented in this paper can be useful for improved designs of toll plazas.
机译:直到最近,泊松过程仍被用于对互联网和道路交通队列进行建模。已经确定,互联网流量表现出自相似性,这与泊松过程非常不同。因此,人们努力检查道路交通是否也是自相似的。在这个方向上的早期努力表明,道路交通确实是自相似的。为了证实这一点,本文通过各种方法研究了印度繁忙的国家高速公路上的实时交通是否自相似。这项检查的结果证明,在高速公路上观察到的交通是自相似的。本文还提出了一种基于百分位数的新颖方法来计算Hurst参数,该参数是自相似强度的指标。本文还用其他两种现有方法验证了百分位数方法。另外,高速公路收费站的交通已建模为排队系统,并且还计算了性能指标,即平均队列长度和繁忙时段分布。数值结果清楚地表明,本文介绍的分析可用于改进收费站的设计。

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