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<p>Created page with &quot; == Abstract == The continuous development of maritime trade over the last decades has led to a significant growth of needs in&lt;br&gt; every section of maritime transport and por...&quot;</p> <p><b>New page</b></p><div><br /> == Abstract ==<br /> <br /> The continuous development of maritime trade over the last decades has led to a significant growth of needs in&lt;br&gt; every section of maritime transport and port operations. During the next 5 years the annual volume at global&lt;br&gt; container terminals will rise significantly, making terminal utilization rates higher than the ones where the&lt;br&gt; systems operate optimally. There is a need for finding more efficient, quick and economic ways of transporting,&lt;br&gt; handling and storing goods as well as seeking more productive strategies for yard management and terminal&lt;br&gt; operation. Inspired by markets’ growing demands and the possibilities of transforming conventional vehicles&lt;br&gt; into automatic ones, an algorithm for smart job allocation and routing of automated vehicles (Straddle Carriers)&lt;br&gt; in terminals is presented in this paper. A management strategy for handling a fleet of autonomous straddle&lt;br&gt; carriers in port yard areas aiming at minimizing the energy consumption while maintaining the performance of&lt;br&gt; the port operations is developed. The strategy is based on a three-layer approach, with job assignment and&lt;br&gt; individual routing at the first two levels and conflict resolution at the last layer, aiming at providing collisionfree&lt;br&gt; trajectories and speed profiles. The algorithm is integrated into the terminal operating system of the port and&lt;br&gt; constitutes a complete solution for small-medium sized ports.<br /> <br /> <br /> == Original document ==<br /> <br /> The different versions of the original document can be found in:<br /> <br /> * [https://figshare.com/articles/Management_of_autonomous_straddle_carrier_fleet/11705091 https://figshare.com/articles/Management_of_autonomous_straddle_carrier_fleet/11705091]<br /> <br /> * [https://zenodo.org/record/1445879 https://zenodo.org/record/1445879] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode<br /> <br /> * [http://dx.doi.org/10.5281/zenodo.3540586 http://dx.doi.org/10.5281/zenodo.3540586],<br /> : [https://zenodo.org/record/3540586 https://zenodo.org/record/3540586] under the license http://creativecommons.org/licenses/by/4.0/legalcode<br /> <br /> * [https://zenodo.org/record/1445879 https://zenodo.org/record/1445879],<br /> : [http://dx.doi.org/10.5281/zenodo.1445878 http://dx.doi.org/10.5281/zenodo.1445878] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode<br /> <br /> * [https://zenodo.org/record/1445879 https://zenodo.org/record/1445879],<br /> : [http://dx.doi.org/10.5281/zenodo.1445879 http://dx.doi.org/10.5281/zenodo.1445879] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode<br /> <br /> * [https://zenodo.org/record/3540586 https://zenodo.org/record/3540586],<br /> : [http://dx.doi.org/10.5281/zenodo.3540585 http://dx.doi.org/10.5281/zenodo.3540585] under the license http://creativecommons.org/licenses/by/4.0/legalcode<br /> <br /> <br /> <br /> <br /> <br /> DOIS: 10.5281/zenodo.3540586 10.5281/zenodo.3540585 10.5281/zenodo.1445879 10.5281/zenodo.1445878</div>

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