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Wang, L, Li, Y, Wan, Z, Wang, T, Guan, K, Yang, Z and Fu, L (2020) Use of AIS data for performance evaluation of ship traffic with speed control. Ocean Engineering, 204. ISSN 0029-8018
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Use of AIS data for performance evaluation of ship traffic with speed control..pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Preview |
Abstract
Speed control in inland water systems needs to achieve effective balance between ship operational efficiency and transport safety. However, speed limit regulations are largely formulated through expert judgment rather than objective evidence-based evaluation, which sometimes leads to inefficiency due to subjective bias. In this study, a new method is proposed to evaluate the performance of shipping traffic under current speed limits by using the automatic identification system (AIS) big data of 4923 ships in the Shanghai section of the Yangtze River in China. The key elements of this method include data acquisition, error elimination, combination of ship AIS and waterway geocoded data to model traffic flow characteristics, and estimation of the correlation between ship speed and congestion level. Shipping traffic performance in different segments is analyzed. Results reveal that the overall compliance to the speed limit is high, and only a few over-speeding cases are noted in certain segments. Furthermore, we use a normal distribution to model the correlation between ship speed and traffic volume. The findings indicate that the current speed limit in the Shanghai section of Yangtze River is rational. This work provides useful insights into testing the rationality of speed limits in other waterways or shipping channels.
| Item Type: | Article |
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| Uncontrolled Keywords: | 0405 Oceanography, 0905 Civil Engineering, 0911 Maritime Engineering |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Maritime & Mechanical Engineering (merged with Engineering 10 Aug 20) |
| Publisher: | Elsevier |
| Related URLs: | |
| Date Deposited: | 25 Jun 2020 08:33 |
| Last Modified: | 04 Sep 2021 07:07 |
| DOI or ID number: | 10.1016/j.oceaneng.2020.107259 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/13161 |
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