Origin-Destination Flow Estimation Using Wireless Subscriber Network Data

使用无线用户网络数据进行始发地-目的地流量估计

• 批准号: 521967-2017
• 负责人: Kattan, Lina
• 金额: $ 1.82万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640555
• 关键词: Origin; Destination; Flow; Estimation; Using

The objective of this study is thus to take advantage of presence of large amount of wireless network data toprovide insights on how transport planners can sense the movement of people more regularly, with reducedcost, and in a large scale, especially in circumstances where detailed mobility survey data are unavailable. Forthis purpose, this research will develop new algorithms for trip generation and distribution models usingwireless network data. These models will then be validated using ground truth information. The outcomesfrom this study can potentially motivate transport planners in Canada to shift from costly and time consumingtraditional planning, to a more data-driven planning process. This is relevant to TELUS in the context thatcellular network companies are keen to leverage their data to develop innovative and new tools to improvetransportation planning and operation.

因此，本研究的目的是利用大量的无线网络数据的存在，以提供交通规划者如何更有规律地感知人们的运动，降低成本，并在大规模的见解，特别是在详细的流动性调查数据不可用的情况下。为此，本研究将开发新的算法，行程生成和分布模型使用无线网络数据。这些模型将使用地面实况信息进行验证。这项研究的结果可能会激励加拿大的交通规划者从昂贵和耗时的传统规划转向更多的数据驱动的规划过程。这与TELUS相关，因为蜂窝网络公司热衷于利用其数据开发创新和新工具，以改善交通规划和运营。