Getting urban pedestrian flow from simple observation: realistic mobility generation in wireless network simulation

Getting urban pedestrian flow from simple observation: realistic mobility generation in wireless network simulation
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DOI:
10.1145/1089444.1089471
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发表时间:
2005-10
期刊:
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影响因子:
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通讯作者:
Kumiko Maeda;Kazuki Sato;K. Konishi;A. Yamasaki;Akira Uchiyama;Hirozumi Yamaguchi;K. Yasumoto;T. Higashino
Kumiko Maeda;Kazuki Sato;K. Konishi;A. Yamasaki;Akira Uchiyama;Hirozumi Yamaguchi;K. Yasumoto;T. Higashino
中科院分区:
其他
文献类型:
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作者:
Kumiko Maeda;Kazuki Sato;K. Konishi;A. Yamasaki;Akira Uchiyama;Hirozumi Yamaguchi;K. Yasumoto;T. Higashino

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为了准确评估移动自组网的应用,在无线网络仿真中需要更真实的移动模型。在本文中,我们专注于在城市地区的行人的行为,并提出了一种新的方法来生成一个流动性的场景称为城市行人流(UPF)。在所提出的方法中,我们将模拟场中的行人按其相似的行为模式(以下简称为流,表示他们如何在地理点周围移动)分为多个组。鉴于所观察到的道路密度在目标领域,我们得出使用线性规划技术每分钟有多少行人遵循每个流。使用派生的流,我们生成一个UPF方案,可用于网络模拟器。特别是,我们已经增强了一个网络模拟器,称为EQUIPREAL,这已经在我们的研究小组开发,使我们可以生成和使用的UPF方案。模拟器有三个主要的设施:行为模拟器,网络模拟器和动画。行为模拟器可以根据UPF场景生成/删除移动的节点。网络模拟器可以模拟MANET协议和应用。动画提供了优雅的可视化模拟轨迹,以及图形用户界面,以促进UPF方案的推导。通过几个案例研究,我们显示的相似性,所得到的流量观察到的,以及表征的流动性的情况下的指标。
In order for precise evaluation of MANET applications, more realistic mobility models are needed in wireless network simulations. In this paper, we focus on the behavior of pedestrians in urban areas and propose a new method to generate a mobility scenario called Urban Pedestrian Flows (UPF). In the proposed method, we classify pedestrians in a simulation field into multiple groups by their similar behavior patterns (simply called flows hereafter, which indicate how they move around geographic points). Given the observed road density in the target field, we derive using linear programming techniques how many pedestrians per minute follow each flow. Using the derived flows, we generate a UPF scenario which can be used in network simulators. In particular, we have enhanced a network simulator called MobiREAL, which has been developed in our research group, so that we can generate and use the UPF scenario. MobiREAL simulator has three main facilities: the behavior simulator, network simulator and animator. The behavior simulator can generate/delete mobile nodes according to the UPF scenario. The network simulator can simulate MANET protocols and applications. The animator offers elegant visualization of simulation traces as well as graphical user interfaces for facilitating derivation of UPF scenarios. Through several case studies, we show similarity of the derived flows to the observed ones, as well as the metrics that characterize the mobility of the scenario.