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Estimating Freight Movements using Dijkstra ’ s Algorithm
| Content Provider | Semantic Scholar |
|---|---|
| Author | Prakash, Surya Mitchell, David |
| Copyright Year | 2018 |
| Abstract | The demand for more detailed information on Australia’s freight movement is increasing due to more policy focus on freight and the adequacy of infrastructure to support Australia's growing freight task. Detailed data on freight movements, however, is either expensive to collect or restricted by confidentiality concerns and, as a consequence, generally little data or only partial data is publicly available related to current freight movements. With this lack of data availability, Dijkstra’s algorithm is well suited to be used in deducing freight movements due to the simplicity of its approach. The methodology estimates freight flows by modelling commodity movements between sources of supply (e.g. mines, farms, quarries) and intermediate production facilities (e.g. mills, refineries) to points of final demand across domestic transport networks. Apart from the transport network and the cost of freight between identified locations, the only data needed is the production data of a commodity. It incorporates two or more possible transports modes, as per the individual commodity scenario, in the model. This modelling approach is applied to the commodities of rice and cotton and results presented. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.atrf.info/papers/2018/files/ATRF2018_Abridged_Paper_28.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
