Title
Prediction of traffic density from wireless cellular data
Abstract
This paper presents a method of estimating traffic density on a highway/freeway from cellular network data. The speed of the traffic is calculated/ measured from the cellular network communication between the vehicles and the network. The model for estimating the density from the speed is developed from the cellular data. The results are then validated through the one-equation partial differential equation dynamics for the traffic density.
Year
DOI
Venue
2016
10.1109/ITSC.2016.7795611
2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)
Keywords
Field
DocType
Traffic Density,Wireless Cellular Networks,Model Identification,LWR model
Data modeling,Traffic generation model,Traffic flow,Wireless,Simulation,Floating car data,Microscopic traffic flow model,Cellular network,Engineering,Traffic congestion reconstruction with Kerner's three-phase theory
Conference
ISBN
Citations 
PageRank 
978-1-5090-1890-1
1
0.35
References 
Authors
4
4
Name
Order
Citations
PageRank
Sabiha Amin Wadoo1213.24
Arsal Huda Syed210.35
Vikrant Sood310.35
Saajed Ali410.35