Scientific　planning　of　a　dedicated　network　for　automated　truck　cargo　transportation　is　necessary　to　ensure　the　transportation　system　safety　and　the　development　of　truck　cargo　automation.　Considering　the　dedicated　lanes　for　automated　trucks　will　reduce　the　right-of-way　of　general-purpose　vehicles　and　impact　the　travel　path　selection　behavior　of　general-purpose　vehicles,　firstly,　this　paper　develops　a　new　bi-level　programming　model　for　designing　a　dedicated　transportation　network　for　automated　trucks　to　minimize　the　system　travel　time　by　considering　general-purpose　vehicles’　travel　path　selection　behavior　from　the　perspective　of　the　overall　system.　Then,　an　improved　differential　evolutionary　algorithm　based　on　a　real　number　coding　is　proposed　to　solve　the　established　bi-level　program,　specifically　including　a　preprocessing　strategy　based　on　the　problem　characteristics　and　efficient　real　number　coding　rules,　which　not　only　ensures　the　feasibility　of　the　solution　but　also　avoids　the　complex　infeasible　solution　repair　process.　Finally,　the　effectiveness　of　the　model　and　algorithm　is　verified　by　the　experimental　results　of　the　Sioux　Falls　benchmark　network　and　a　large　number　of　randomly　generated　instances.　©　2023　Northeast　University.　All　rights　reserved.