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Trans. Planning Journal
| Title | Estimation of Time-Dedendent Origin-Destination Demands through Flow Simulation Approach |
|---|---|
| Author | Ta-Yin Hu ， Wei-Ming Ho |
| Summary | Time-dependent Origin-Destination (O-D) demand data is critical to the success of Dynamic Traffic Assignment in Advanced Traffic Management Systems (ATMS), and extensive research has been conducted in the past decade to tackle this problem. This research applies the One-to-All Flow Simulation method to generate the single origin to multiple destinations flows and aggregates simulated flows with detector flows to estimate possible O-D splits based on the non-assignment based model. The unique features of the model include: (1) the One-to-All Flow Simulation, which is utilized to calculate the O-D splits supplies the additional link counts data; (2) the destination-based Cordon-line supplies a method to estimate O-D splits with sparsely-distributed detectors. (3) the path travel time is calculated based on the space mean speed of all vehicles taking the shortest path from origins to destinations, suitable for congested links and a signalized urban network; Numerical experiments to illustrate the proposed model are conducted in three networks: a small test network, a signalized urban network and a mixed network, and several sensitivity analyses are performed. The numerical results show that the root mean square error (RMSE) of the signalized urban network is 0.047; the estimated O-D splits from the proposed model are reasonable and acceptable. |
| Vol. | 38 |
| No. | 3 |
| Page | 247 |
| Year | 2009 |
| Month | 9 |
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