Intergeneration Division Based on Key Component Analysis in an Autonomous Transportation System Using the Natural Language Processing Method

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Clusters</td><td class="align_center">Top ten words</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">2010–2015</td><td class="align_center">Vehicle, driving, technology, system, transportation,<br/>development, control, automatic, construction, and planning</td></tr><tr><td class="align_left" colspan="2"><hr/></td></tr><tr><td class="align_left">2016–2019</td><td class="align_center">Technology, vehicle, traffic, control, system,<br/>information, management, communication, city, and data</td></tr><tr><td class="align_left" colspan="2"><hr/></td></tr><tr><td class="align_left">2020–2022</td><td class="align_center">Development, vehicle, construction, driving, coordination,<br/>transportation, autonomous, testing, information, and device</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Sorted by the weight of words, the top ten words of each cluster are shown.</div>

Journal of Advanced Transportation

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Table 2

Table 2: Intergeneration Division Based on Key Component Analysis in an Autonomous Transportation System Using the Natural Language Processing Method 

Table 2 | Intergeneration Division Based on Key Component Analysis in an Autonomous Transportation System Using the Natural Language Processing Method 