Origin-Destination Flow Estimation Using Wireless Subscriber Network Data

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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.