Real-Time Estimation of Traffic Stream Density using Connected Vehicle Data

Real-Time Estimation of Traffic Stream Density using Connected Vehicle Data

The macroscopic measure of traffic stream density is crucial in advanced traffic management systems. However, measuring the traffic stream density in the field is difficult since it is a spatial measurement. In this dissertation, several estimation approaches are developed to estimate the traffic st...

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Bibliographic Details
Main Author: Aljamal, Mohammad Abdulraheem
Other Authors: Civil and Environmental Engineering
Format: Others
Language:en
Published: Virginia Tech 2020
Subjects:
Real-Time Estimation
Connected Vehicles
Traffic Density
Machine Learning
Kalman Filter
Particle Filter
Artificial Neural Network
Random Forest
k-Nearest Neighbors
Level of Market Penetration Rate
Online Access:http://hdl.handle.net/10919/100149

Internet

http://hdl.handle.net/10919/100149

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