A Methodology to Detect Traffic Data Anomalies in Automated Traffic Signal Performance Measures

A Methodology to Detect Traffic Data Anomalies in Automated Traffic Signal Performance Measures

Automated traffic signal performance measures (ATSPMs) have garnered significant attention for their ability to collect and evaluate real-time and historical data at signalized intersections. ATSPM data are widely utilized by traffic engineers, planners, and researchers in various application scenar...

Full description

Bibliographic Details
Main Authors: Bangyu Wang, Grant G. Schultz, Gregory S. Macfarlane, Dennis L. Eggett, Matthew C. Davis
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Future Transportation
Subjects:
ATSPM
big data
moving average and standard deviation
performance measures
traffic signals
Online Access:https://www.mdpi.com/2673-7590/3/4/64

Internet

https://www.mdpi.com/2673-7590/3/4/64

Similar Items