Automatic Identification System (AIS), the automated data collection system for vessel tracking, plays an essential role in marine traffic management. AIS system is generating an enormous volume of data which has rampant growth. The AIS data has the potential to drive transport activities, and significant hidden insights are possible to draw by analyzing the AIS data. Some of the tasks which can rely on the AIS data are predicting routes of vessels, predicting traffic intensity, estimating the time of arrival of a ship and transport of volume. The development of analytical techniques for AIS data would lead to the attainment of business goals such as increasing profit, optimally utilize human resources at a port and reducing traffic in the ocean. This paper reviews existing and emerging techniques used to analyze AIS data in the field of marine transportation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Applications of Predictive Analytics in Marine Transportation


    Contributors:


    Publication date :

    2021-09-23


    Size :

    328277 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Enabling Sustainable Urban Transportation with Predictive Analytics and IoT

    Igorevich Rozhdestvenskiy Oleg / Poornima E. | DOAJ | 2024

    Free access

    Real-time Predictive Analytics for Improving Public Transportation Systems' Resilience

    Noursalehi, Peyman / Koutsopoulos, Haris N. | ArXiv | 2016

    Free access

    Data Analytics for Intermodal Freight Transportation Applications

    Huynh, Nathan / Uddin, Majbah / Minh, Chu Cong | ArXiv | 2024

    Free access

    PREDICTIVE BATTERY ANALYTICS

    Singer, J. / Maheshwari, A. | TIBKAT | 2020


    Smart transportation and analytics

    Kuo, Yong-Hong / Szeto, W. Y. | Taylor & Francis Verlag | 2018