Name: Event-Aware Missing Data Imputation Network (EMDIN): Leveraging social event features for enhanced traffic data imputation
Start: 2025-05-26T14:50:00-0400
End: 2025-05-26T15:10:00-0400

Welcome to CTRF’s 60th Annual Conference! Enjoy Ottawa

Monday May 26, 2025 2:50pm - 3:10pm EDT

Desmarais 3105

Accurate traffic data imputation is essential for transportation systems, particularly during social events that disrupt traffic patterns. This study introduces the Event-Aware Missing Data Imputation Network (EMDIN), a novel model designed to predict the impact of different types and sizes of social events by leveraging event-specific features, such as type, location, attendance, timings, and parking availability. EMDIN integrates advanced spatiotemporal learning techniques, including graph convolutional networks and long short-term memory (LSTM) layers, enhanced by a two-stage imputation decoder. The model features a dynamic forgetting mechanism in the LSTM layers that prioritizes recent traffic patterns as events approach, while the two-stage decoder further refines missing value predictions using attention-weighted spatiotemporal features. Applied to a one-year probe vehicle and social event dataset from Hamilton, ON, Canada, EMDIN achieved a Mean Absolute Percentage Error (MAPE) of 6.5-7.5% and a Root Mean Square Error (RMSE) of 6.0-6.5 km/h during events, significantly outperforming benchmark methods. This study underscores the importance of incorporating social event features to improve imputation accuracy and provides a robust framework for addressing dynamic urban traffic challenges caused by events.

Speakers

Ali Ardestani

McMaster University

Ali Ardestani is a doctoral candidate in the Civil Engineering department at McMaster University, specializing in Transportation Engineering. He obtained his master’s degree in civil engineering from TMU, Iran with a focus on artificial intelligence application in transportation... Read More →

46. Ardestani Paper CTRF2025 1 pdf

Monday May 26, 2025 2:50pm - 3:10pm EDT
Desmarais 3105 55 Laurier Ave E, Ottawa ON K1N 6N5

Statistics & data issues

CTRF 2025

Ali Ardestani

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