在发展中国家使用隐私保护模拟服务管理流量的案例研究

B. Srivastava, M. Pallan, M. Madhavan, Ravi Kokku
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引用次数: 0

摘要

模拟被认为是一种有效的技术来了解和管理在发达国家的城市交通。然而,在发展中国家,由于道路上的车辆种类繁多,运动混乱,检测交通状态的仪器很少,用于改善这种状况的信息技术和物理基础设施的资金有限,交通管理缺乏。在这些条件下,在本文中,我们提出了使用Megaffic交通模拟器作为服务的方法,以获得针对印度两个用例和城市的可操作见解,这是第一次。我们的方法通常很容易用于其他用例和城市,我们的结果提供了新的见解:(a)使用人口统计数据,如果德里政府办公室的时间改变,交通需求可以减少;(b)使用移动公司的通话数据记录(CDR)数据匿名挖掘轨迹,人们可以在孟买组织当地规模的活动时采取有效的交通行动。
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Case Studies in Managing Traffic in a Developing Country with Privacy-Preserving Simulation as a Service
Simulation is known to be an effective technique to understand and manage traffic in cities of developed countries. However, in developing countries, traffic management is lacking due to a wide diversity of vehicles on the road, their chaotic movement, little instrumentation to sense traffic state and limited funds to create IT and physical infrastructure to ameliorate the situation. Under these conditions, in this paper, we present our approach of using the Megaffic traffic simulator as a service to gain actionable insights for two use-cases and cities in India, a first. Our approach is general to be readily used in other use cases and cities, and our results give new insights: (a) using demographics data, traffic demand can be reduced if timings of government offices are altered in Delhi, (b) using a mobile company's Call Data Record (CDR) data to mine trajectories anonymously, one can take effective traffic actions while organizing events in Mumbai at local scale.
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