Dear All,
The next TFTC webinar in partnership with the University of Michigan's NGTS seminars will be held on Thursday, March 3rd, at 4:00 PM EST. You can save the attached calendar file to your calendar app for a reminder. Please find the detailed information of the seminar below:
Time: Thursday, March 3rd, 4:00 PM (EST), 7:00 AM (AEST, Next Day)
Meeting Link: https://umich.zoom.us/j/92561452642 (Passcode: NGTS)
Abstract:
The dynamic origin-destination flow estimation (DODE) problem requires scalable methods for large scale traffic networks and robust techniques for capturing both uncongested and congested traffic conditions. Despite numerous efforts on incorporating multifold data sources and developing manifold mathematical models, the DODE problem remains a challenging problem in terms of both scalability and robustness. To fill this gap, we propose a novel hybrid DODE framework that integrates region-level (macro) and centroid-level (micro) traffic dynamics. The region-level traffic flows are described by the macroscopic fundamental diagram, while the centroid-level traffic flows are represented by the linear mapping of origin-destination flows onto link counts. This hybrid approach enables us to i) incorporate region-level traffic measures into the problem, addressing scalability issues arising in large scale traffic networks, and ii) capture non-linear behavior of traffic in the regional context, enhancing robustness of the estimation results with respect to traffic conditions. The proposed methodology is experimented in a large-scale traffic network, which is benchmarked for DODE problems. The results indicate an outstanding performance of the hybrid DODE particularly in congested traffic conditions and highlight the effectiveness of aggregated (regional) traffic models in enhancing DODE methods with minimal computational burden.
Time: Thursday, March 3rd, 4:00 PM (EST), 7:00 AM (AEST, Next Day)
Meeting Link: https://umich.zoom.us/j/92561452642 (Passcode: NGTS )