Development of a Turning Movement Estimator Using CV Data
Turning movement (TM) data of vehicular traffic at intersections are a basic input for signal timing design. Existing methods of collecting TM data are time- and cost-intensive. Using connected vehicle (CV) data is an alternative method. Trajectories of vehicles through an intersection can be constr...
Main Authors: | Somayeh Nazari Enjedani, Mandar Khanal |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Future Transportation |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-7590/3/1/21 |
Similar Items
-
Improving Turn Movement Count Using Cooperative Feedback
by: Patrick Heyer-Wollenberg, et al.
Published: (2023-12-01) -
Real-time intersection vehicle turning movement counts from live UAV video stream using multiple object tracking
by: Yuhao Wang, et al.
Published: (2023-09-01) -
A Data Cleaning Method for Big Trace Data Using Movement Consistency
by: Xue Yang, et al.
Published: (2018-03-01) -
Vehicle dynamics estimation using Kalman filtering : experimental validation /
by: Doumiati, Moustapha, 1983-
Published: (2013) -
Estimation of Traffic Stream Density Using Connected Vehicle Data: Linear and Nonlinear Filtering Approaches
by: Mohammad A. Aljamal, et al.
Published: (2020-07-01)