Respected Researchers and Academics,

I am recently working on a research proposal entitled "𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 (𝐀𝐈𝐒) 𝐃𝐚𝐭𝐚 𝐟𝐨𝐫 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐌𝐚𝐫𝐢𝐭𝐢𝐦𝐞 𝐓𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭 𝐚𝐧𝐝 𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜𝐬 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧" in which I plan to apply different econometrics and operations research tools to model the AIS-driven big data for efficient maritime transport and logistics decision.

The Automatic Identification Systems (AIS) provides high frequency, real-time positioning and sailing patterns for almost the whole world’s commercial fleet of international voyages with a gross tonnage above 300 and all passenger ships equipped with an AIS transmitter. The information in the AIS message includes vessel identity (IMO No., MMSI, vessel name, and type), physical appearance (length overall, beam), voyage related information (draught, destination, estimated time of arrival), and dynamic data (speed, course, rate of turn, etc.). Currently, the stated information from AIS can be found in different AIS-related commercial databases (For instance; Marine Traffic, Spire, AXS Marine, exactEarth, Signal Ocean).

AIS data in predicting maritime traffic and waterway patterns, caution area traffic prediction, vessel trajectory prediction, naval sensors, etc. have been widely used in many studies which are mainly in 𝐎𝐜𝐞𝐚𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 nature. However, I am mostly interested to explore the 𝐌𝐚𝐫𝐢𝐭𝐢𝐦𝐞 𝐓𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭 𝐚𝐧𝐝 𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜𝐬 aspects based on AIS data.

I will be grateful if you kindly help me in identifying probable research gaps considering the aforesaid discussion.

Best Regards

Mojahid

https://www.mojahid-chowdhury.com/