@inproceedings{3157577ea02b46d8978dbe9c4a519a2e,
title = "Detecting Critical Links of Highway Networks Using Mobile Phone Data",
abstract = "In this research, mobile phone data and road network topology data were used to study highway networks status, especially detecting critical roads. Spatial and temporal properties of the data from mobile phones to the road network was mapped. Then the user's displacement over a period of time generated the OD matrix, community detection algorithm Infomap algorithm needs to divide the n nodes in the network into m clusters in order to minimize the expected description length of the random walk. This principle can detect critical links. One month of mobile phone data covering the road network formed by the two highways in Beijing was used. Experiments show the detection of road networks data with different weights will result in different types of critical link segments. The critical link overlap ratio obtained by the road network with a weight of 1 and a weight of flow is only around 60\%.",
author = "Haiyang Yu and Wenjie Chao and Yilong Ren and Yuan Lin",
note = "Publisher Copyright: {\textcopyright} 2020 ASCE.; 20th COTA International Conference of Transportation Professionals: Transportation Evolution Impacting Future Mobility, CICTP 2020 ; Conference date: 14-08-2020 Through 16-08-2020",
year = "2020",
language = "英语",
series = "CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "255--264",
editor = "Heng Wei and Haizhong Wang and Lei Zhang and Yisheng An and Xiangmo Zhao",
booktitle = "CICTP 2020",
address = "美国",
}