Abstract
This research proposes a two-stage approach to estimate a statewide truck origin-destination (O-D) trip table. The proposed approach is supported by two sequential stages: one estimates the commodity-based truck O-D trip tables primarily derived from the commodity flow database, and the other refines them using the observed truck counts to reproduce the better matches. The first stage uses a national commodity flow data from the Freight Analysis Framework (FAF) database to develop a commodity-based truck trip table. The second stage uses the path flow estimator (PFE) concept to refine the truck trip table obtained from the first stage using the up-to-date truck counts from the statewide truck count program. The model allows great flexibility of incorporating data at different spatial levels for estimating truck O-D trip tables. A case study is conducted using the Utah statewide freight transportation network to demonstrate how the proposed approach can be implemented in practice.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 17th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2012 |
| Subtitle of host publication | Transportation and Logistics Management |
| Pages | 65-72 |
| Number of pages | 8 |
| Publication status | Published - 1 Dec 2012 |
| Externally published | Yes |
| Event | 17th International Conference of Hong Kong Society for Transportation Studies: Transportation and Logistics Management, HKSTS 2012 - Kowloon, Hong Kong Duration: 15 Dec 2012 → 17 Dec 2012 |
Conference
| Conference | 17th International Conference of Hong Kong Society for Transportation Studies: Transportation and Logistics Management, HKSTS 2012 |
|---|---|
| Country/Territory | Hong Kong |
| City | Kowloon |
| Period | 15/12/12 → 17/12/12 |
Keywords
- Commodity flow
- Freight transportation
- Path flow estimator
- Statewide planning model
- Truck O-D trip table
ASJC Scopus subject areas
- Transportation