81 citations · 135 across the 5 of their papers we have counts for
5 papers
A Big Data Driven Framework for Duplicate Device Detection from Multi-sourced Mobile Device Location Data
Aliakbar Kabiri, Aref Darzi, Saeed Saleh Namadi +5
Mobile Device Location Data (MDLD) has been popularly utilized in various fields. Yet its large-scale applications are limited because of either biased or insufficient spatial cove…
A Big-Data Driven Framework to Estimating Vehicle Volume based on Mobile Device Location Data
Mofeng Yang, Weiyu Luo, Mohammad Ashoori +7
Vehicle volume serves as a critical metric and the fundamental basis for traffic signal control, transportation project prioritization, road maintenance plans and more. Traditional…
Modeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: a pedestrian dynamics-based microscopic simulation approach
Yao Xiao, Mofeng Yang, Zheng Zhu +3
Mathematical modeling of epidemic spreading has been widely adopted to estimate the threats of epidemic diseases (i.e., the COVID-19 pandemic) as well as to evaluate epidemic contr…
A Data-Driven Travel Mode Share Estimation Framework based on Mobile Device Location Data
Mofeng Yang, Yixuan Pan, Aref Darzi +3
Mobile device location data (MDLD) contains abundant travel behavior information to support travel demand analysis. Compared to traditional travel surveys, MDLD has larger spatiote…
Data-Driven Modeling Reveals the Impact of Stay-at-Home Orders on Human Mobility during the COVID-19 Pandemic in the U.S
Chenfeng Xiong, Songhua Hu, Mofeng Yang +4
One approach to delay the spread of the novel coronavirus (COVID-19) is to reduce human travel by imposing travel restriction policies. It is yet unclear how effective those polici…