Model of Driver’s Eye Movement and ECG Index under Tunnel Environment Based on Spatiotemporal Data

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Level</td><td class="align_center">Normal state</td><td class="align_center">Light danger</td><td class="align_center">Moderate danger</td><td class="align_center">Severe danger</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Criterion</td><td class="align_center"><span style="width: 52.0367ptpx;"><svg height="12.5794pt" id="M48" style="vertical-align:-3.29107pt" version="1.1" viewbox="-0.0498162 -9.28833 52.0367 12.5794" width="52.0367pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M620 675H597C578 656 570 650 541 650H144C112 650 104 653 94 675H72C59 618 42 552 23 493L53 491C71 534 88 564 105 585C124 608 144 615 238 615H290L197 121C182 40 174 34 88 28L82 0H361L367 28C275 34 266 38 281 121L374 615H441C522 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class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Classification criteria of tunnel environmental risk level.</div>

Journal of Advanced Transportation

tab7

Table 7

Table 7: Model of Driver’s Eye Movement and ECG Index under Tunnel Environment Based on Spatiotemporal Data 