Multifront Approach for Improving Navigation of Autonomous and Connected Trucks
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https://purr.purdue.edu/publications/3925/1
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资源简介：
<p>The project &ldquo;Multifront Approach for Improving Navigation of Autonomous and Connected Trucks&quot; have four different blocks.&nbsp;</p>
<p>&bull;&nbsp;&nbsp; &nbsp;Block I: Real-Time Optimization<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;-Includes traffic flow data&nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Block II: Road Network Optimization of ACT Platoons<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;-Optimization Model for platoons, finite element model for truck drag<br />
&bull;&nbsp;&nbsp; &nbsp;Block III: Resting Period and Pavement Damage<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;-Finite Element models including different rest periods and lateral position<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;-Experimental test data for permanent deformation of AC<br />
&bull;&nbsp;&nbsp; &nbsp;Block IV: Passive Sensing Paving Material<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;-Data collected using induction-based eddy current sensor to estimate lateral position of vehicle</p>
<p>Please refer to each block for their respective data descriptions.</p>
提供机构：
Purdue University Research Repository
创建时间：
2021-12-28
