Name
Title | ||
|---|---|---|
Container Port Performance Measurement and Comparison Leveraging Ship GPS Traces and Maritime Open Data. |
Abstract | ||
|---|---|---|
Container ports are generally measured and compared using performance indicators such as container throughput and facility productivity. Being able to measure the performance of container ports quantitatively is of great importance for researchers to design models for port operation and container logistics. Instead of relying on the manually collected statistical information from different port au... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TITS.2015.2498409 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Containers,Marine vehicles,Ports (Computers),Global Positioning System,Throughput,Productivity,Measurement | Port (computer networking),Performance indicator,Ranking,Transport engineering,Performance measurement,Global Positioning System,Intelligent transportation system,Throughput,Engineering,Strengths and weaknesses | Journal |
Volume | Issue | ISSN |
17 | 5 | 1524-9050 |
Citations | PageRank | References |
13 | 0.64 | 19 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Longbiao Chen | 1 | 123 | 10.60 |
| Daqing Zhang | 2 | 514 | 18.52 |
| Xiaojuan Ma | 3 | 325 | 49.27 |
| Leye Wang | 4 | 551 | 36.79 |
| Shijian Li | 5 | 1155 | 69.34 |
| Zhaohui Wu | 6 | 3121 | 246.32 |
| Gang Pan | 7 | 1501 | 123.57 |