Using Kalman filter algorithm for short-term traffic flow prediction in a connected vehicle environment

Using Kalman filter algorithm for short-term traffic flow prediction in a connected vehicle environment

Abstract We develop a Kalman filter for predicting traffic flow at urban arterials based on data obtained from connected vehicles. The proposed algorithm is computationally efficient and offers a real-time prediction since it invokes the connected vehicle data just before the prediction period. More...

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Bibliographic Details
Main Authors: Azadeh Emami, Majid Sarvi, Saeed Asadi Bagloee
Format: Article
Language:English
Published: SpringerOpen 2019-07-01
Series:Journal of Modern Transportation
Subjects:
Connected vehicle
Flow prediction
Kalman filter
Vissim simulator
Online Access:http://link.springer.com/article/10.1007/s40534-019-0193-2

Internet

http://link.springer.com/article/10.1007/s40534-019-0193-2

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