This　paper　aims　to　establish　and　optimize　the　quantization　algorithm　of　the　tourist　guide　signs　designing　for　the　complex　road　network.　The　rating　of　tourist　attractions,　the　amount　of　tourists,　tourism　scenic　area,　the　travel　time　from　the　expressway　exit　to　the　tourism　were　taken　as　the　influence　factors　of　node　demanding　level　for　tourist　attractions.　Based　on　grey　variable　weight　cluster　theory,　a　division　measure　of　guide　demand　for　tourist　regions　was　established,　which　could　provide　the　theoretical　basis　for　choosing　which　tourist　attractions　should　be　guided　by　directional　signs.　Compared　with　current　research　that　only　considered　the　level　of　tourism　scenic　spots　to　classify　the　guide　necessity,　the　established　method　considered　the　traffic　attraction　of　the　scenic　spots,　which　is　more　aligned　with　the　drivers＇　demand.　Considering　the　total　amount　restriction　of　guide　signs,　the　path　constraint　that　driver　should　not　make　a　turn　from　the　exit　to　the　tourist　attraction,　and　the　condition　that　all　tourist　regions　should　be　guided　at　least　once.　The　mathematical　model　was　established　and　solved　by　using　the　genetic　algorithm　to　obtain　the　optimal　inducing　effect　and　the　layout　of　tourist　guide　signs.　The　established　method　can　provide　the　optimal　layout　of　tourist　guide　signs.