Vehicle Trajectory Reconstruction Method for Urban Arterial Roads Based on Multi-Source Data Fusion

Vehicle Trajectory Reconstruction Method for Urban Arterial Roads Based on Multi-Source Data Fusion

Vehicle trajectory data contain extensive spatiotemporal information and are of great significance for analyzing the operational patterns of urban traffic networks, optimizing traffic signal control and achieving refined traffic management. However, due to the low penetration rate of probe vehicles...

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Bibliographic Details
Main Authors: Zhanhang Shi, Dong Guo, Lili Bian, Yvbin Liu, Bin Zhou, Feng Sun
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Sensors
Subjects:
signal-controlled roads
vehicle trajectory reconstruction
fixed sensors
probe vehicles
car-following model
particle filtering
Online Access:https://www.mdpi.com/1424-8220/25/7/2102
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