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Adopt Different Machine Learning (ML) Models to Predict Congestion Measures for Rural and Urban Areas Based on Modeling Performance Differences and Utilize Explainable ML for Enhanced Interpretation.

Adopt different ML models to predict congestion measures for rural and urban areas based on the performance differences. This study found better performance of rural freeway models as compared to…
Content type
Date Posted
03/22/2024

Use a Received Signal Strength Indicator (RSSI) Algorithm To Improve Accuracy for Traffic Speed Estimates When Implementing Wi-Fi and Bluetooth Traffic Detection Technologies.

Properly address any potential errors in Wi-Fi and Bluetooth detection in estimating traffic speeds. This study used Received Signal Strength Indicator (RSSI) to apply a correction to the estimated…
Content type
Date Posted
12/22/2023
Taxonomy (ARC-IT) Performance Monitoring (DM02)

Ensure Data from Multiple Sources Are Transformed into a Consistent Frame of Geographical and Temporal Resolution for Effective Data Fusion.

Ensure data from multiple sources are transformed into a consistent frame of geographical and temporal resolution. Data fusion of BSMs and other data sets will be a necessity in situations when…
Content type
Date Posted
05/30/2023
Taxonomy (ARC-IT) Performance Monitoring (DM02)

The Annual Cost for Collecting Highway Performance Monitoring System (HPMS)-Recommended Traffic Counts on Local and Minor Collector Roadways in Small Urban Areas Was Estimated to be $3,145 for 51 Monitoring Locations.

Reliable traffic volume data is important for a DOT to understand the quality of safety and mobility on its roads. California uses permanent sensors to collect data on its roads of functional class (…
Content type
Made Public Date
05/30/2023
Taxonomy (ARC-IT) Performance Monitoring (DM02)

Modeling of a Predictive Maintenance Process to Screen Railway Transit Signals for Repair Showed That a Machine Learning Algorithm Could Identify 35 Percent of Failures a Month in Advance.

Methodology To assess the effectiveness of a predictive maintenance system, a research team from Rutgers University utilized data provided by a major rail transit agency in the United States. A…
Content type
Date Posted
01/13/2023
Taxonomy (ARC-IT) Performance Monitoring (DM02)