A　two-factor　experiment　was　devised　to　assess　the　appropriateness　of　the　quantity　and　arrangement　of　information　on　multi-information　guide　signs　at　unique,　spacious　exits　on　elevated　expressway　sections.　This　experiment　investigated　77　signs　containing　varying　amounts　of　road　name　information　and　different　placements　of　destination　road　names.　The　research　entailed　an　indoor　experiment　that　incorporated　eye-tracking　technology　and　involved　the　analysis　of　a　total　of　twenty-eight　indicators.　A　comprehensive　index　system　was　developed,　identifying　three　key　aspects:　visual　recognition　efficiency,　visual　recognition　difficulty,　and　visual　fatigue.　Utilizing　repeated　measure　analysis　of　variances,　the　impact　of　these　two　factors　was　examined　to　identify　significant　indicators　and　establish　a　comprehensive　assessment　indicator　system.　The　Technique　for　Order　of　Preference　by　Similarity　to　Ideal　Solution　method,　in　conjunction　with　the　coefficient　of　entropy　weight,　was　employed　to　assess　the　effectiveness　of　these　two　factors.　The　findings　demonstrated　that　the　28　eye-movement　indicators　utilized　in　this　study　effectively　constitute　a　valuable　indicator　system　for　evaluating　drivers’　visual　recognition　characteristics.　These　indicators　capture　the　subtle　psychophysical　traits　inherent　in　the　process　of　recognizing　signs,　including　visual　recognition　efficiency,　difficulty,　and　fatigue.　Regarding　the　first　experimental　factor,　the　number　of　sign　road　names　significantly　influences　drivers’　visual　recognition　characteristics　(Sig　＜　0.05).　Specifically,　an　increase　in　the　number　of　sign　road　names　leads　to　diminished　visual　recognition　efficiency　and　heightened　visual　recognition　difficulty　and　fatigue.　Consequently,　it　is　advisable　to　restrict　the　number　of　sign　road　names　to　a　maximum　of　six　per　sign　under　typical　circumstances,　with　nine　being　the　limit　under　special　conditions.　As　for　the　second　experimental　factor,　the　placement　of　the　destination　road　name　within　the　sign　layout　exerts　a　significant　impact　on　visual　recognition　characteristics　(Sig　＜　0.05).　Each　type　of　multi-information　sign　exhibits　a　distinct　visual　recognition　pattern.　Generally,　the　upper　portion　of　the　sign　is　more　easily　recognized,　while　the　lower　part　poses　greater　recognition　challenges.　Therefore,　to　mitigate　visual　recognition　risks,　it　is　recommended　that　road　information　placement　be　prioritized　based　on　actual　usage　conditions.　©　2024　Elsevier　Ltd