NDLI: Investigating and modelling the relationship between traffic volume and extracts from cellphone activity data

Content Provider	IET Digital Library
Author	He, Shanglu Ding, Fan Zhou, Yang Cheng, Yang Ran, Bin
Abstract	Two traffic features [unique cellphone counts (UCC) and pseudo speed (PS)] could be extracted from cellphone activity (CA) data that contain all wireless communication records of a standby or active cellphone. PS has been validated to be close to the traffic speed in the previous works. Further investigation was conducted in this study on the relationship between UCC and the traffic volume. First, a dynamic time warping (DTW)-based method was proposed to analyse the UCC time-series from different freeway links, which consisted of a DTW-based hierarchical clustering step and a DTW-based classification step. Field data was applied in the case study and this proposed analysis method found that UCCs varied from link to link. Besides, this method efficiently classified the links into different groups based on the similarity between UCC and the traffic volume. Moreover, the analysis results were applied to formalising the relationship model between UCC and traffic volume. The case study indicated that a generic linear relationship model might be calibrated, if those links were classified in the same group and were neighbouring enough for a shared close traffic volume value. Besides, it was validated that this model has a good performance under the uncongested traffic condition.
Starting Page	1299
Ending Page	1308
Page Count	10
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 8, Aug (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5525
Journal	IET Intelligent Transport Systems
Publisher Date	2019-04-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cellphone Activity Data Data Handling Technique DTW-based Classification Step DTW-based Hierarchical Clustering Step Dynamic Time Warping-based Method Freeway Link Generic Linear Relationship Model Mobile Computing Pattern Classification Pattern Clustering Pervasive Computing Road Traffic Statistical Analysis Statistics Traffic Engineering Computing Traffic Feature Traffic Speed Traffic Volume Ubiquitous UCC Time-series Uncongested Traffic Condition Unique Cellphone Counts
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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