Abstract

In this paper we present preliminary results for estimating traffic flow using passive cell-phone network information. Two datasets are considered: (a) passive cell-phone data and (b) information provided by the English Highways Agency. Our proposed method identifies cell phone users that are traveling by car and using a linear regression model, estimates the flow for each of the links in which the road network is divided. Initial results indicate, that, under certain conditions, traffic flow can be effectively approximated with passive network data.

Keywords:
Phone Computer science Traffic flow (computer networking) Linear regression Flow (mathematics) Flow network Real-time computing Data mining Computer network Mathematics Mathematical optimization Machine learning

Metrics

2
Cited By
0.46
FWCI (Field Weighted Citation Impact)
3
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Human Mobility and Location-Based Analysis
Social Sciences →  Social Sciences →  Transportation
Traffic Prediction and Management Techniques
Physical Sciences →  Engineering →  Building and Construction
Transportation Planning and Optimization
Social Sciences →  Social Sciences →  Transportation

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