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<p class="MsoNormal"><span style="color:black">Dear colleagues,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black">Following the "Last-Mile Routing Research Challenge" (<a href="https://routingchallenge.mit.edu"><span style="color:#0563C1">https://routingchallenge.mit.edu</span></a>) hosted by Amazon and supported by the MIT
Center for Transportation & Logistics, we will be guest editing a special issue of Transportation Science on "Machine Learning Methods and Applications in Large-Scale Route Planning Problems". While inspired by the research challenge, this special issue is
not limited to papers discussing work related to the specific problem tackled by the research challenge. Therefore, if you are working on machine learning-based approaches to route optimization or related problems, we encourage you to submit your work to this
special issue, even if you did not participate in the challenge.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black">The submission deadline is November 30, 2021. For further details, please see the corresponding Call for Papers on the website of Transportation Science:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><a href="https://pubsonline.informs.org/page/trsc/calls-for-papers">https://pubsonline.informs.org/page/trsc/calls-for-papers</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black">We look forward to receiving your submissions!<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black">Best regards<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black">Matthias Winkenbach<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><span style="font-size:8.0pt;font-family:"Arial",sans-serif;color:#27313D">—<br>
<b>Matthias Winkenbach</b>, PhD<br>
Massachusetts Institute of Technology (MIT) | Center for Transportation & Logistics (CTL)<br>
</span><span style="font-size:8.0pt;font-family:"Arial",sans-serif;color:#3C485E">Director, <b>MIT Megacity Logistics Lab</b> | Director,<b> MIT Computational and Visual Education (CAVE) Lab</b></span><span style="font-size:8.0pt;font-family:"Arial",sans-serif;color:#27313D"><br>
<a href="http://winkenbach.mit.edu"><span style="color:#0563C1">http://winkenbach.mit.edu</span></a> |
<a href="https://www.linkedin.com/in/mwinkenbach"><span style="color:#0563C1">https://www.linkedin.com/in/mwinkenbach</span></a> |
<a href="mailto:mwinkenb@mit.edu" title="mailto:mwinkenb@mit.edu"><span style="color:#03386D">mwinkenb@mit.edu</span></a></span><o:p></o:p></p>
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