Traffic State Estimation Using Connected Vehicles and Stationary Detectors
Real-time traffic state estimation is of importance for efficient traffic management. This is especially the case for traffic management systems that require fast detection of changes in the traffic conditions in order to apply an effective control measure. In this paper, we propose a method for est...
Saved in:
| Main Authors: | Ellen F. Grumert, Andreas Tapani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/4106086 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of algorithms for detecting traffic incidents on highways using stationary vehicle detectors
by: D. V. Navoi, et al.
Published: (2024-01-01) -
Trip Cost Estimation of Connected Autonomous Vehicle Mixed Traffic Flow in a Two-Route Traffic Network
by: Zhizhen Liu, et al.
Published: (2020-01-01) -
Vehicle Traffic Estimation Using Deep Learning
by: Meetkumar Patel, et al.
Published: (2022-05-01) -
PID-Based Freeway Work Zone Merge Control with Traffic State Prediction under Mixed Traffic Flow of Connected Automated Vehicles and Manual Vehicles
by: Sunho Kim, et al.
Published: (2024-01-01) -
Robust Traffic Signal Retiming Based on Queue Service Time Estimation Using Low-Penetration Connected Vehicle Data
by: Chengchuan An, et al.
Published: (2024-12-01)