Simulation-Based Origin-Destination Matrix Reduction: A Case Study of Helsinki City Area
Eclipse Foundation via YouTube
Overview
Learn about an innovative approach to traffic simulation optimization in this 19-minute technical presentation that explores origin-destination (OD) matrix reduction techniques for urban mobility planning. Discover how researchers tackled the challenge of inferring travel demand patterns for Helsinki's core area using data from a larger extended region. Follow the development of an edge-based origin-destination assignment algorithm that maintains traffic flow accuracy while significantly reducing simulation time from 6 hours to 20 minutes. Examine the validation process using DigiTraffic data from Helsinki's traffic counting stations, which demonstrated strong accuracy with a 34% average MAPE between observed and simulated traffic counts. Explore the complete workflow from motivation and problem formulation through implementation and experimental results, gaining practical insights into optimizing large-scale urban traffic simulations using the SUMO (Simulation of Urban MObility) tool.
Syllabus
Intro
MOTIVATION AND BACKGROUND
PROBLEM FORMULATION
PROPOSED WORKFLOW
EDGE ASSIGNMENT ALGORITHM
IMPLEMENTATION
EXPERIMENTAL STUDY
CONCLUSION
Taught by
Eclipse Foundation