This　paper　studies　an　automated　truck　transportation　problem　via　lane　reservation　strategy.　The　problem　is　to　decide　which　road　links　to　be　reserved,　and　plan　paths　for　automated　truck　transportation　tasks　on　these　reserved　lanes　so　that　all　tasks　can　be　completed　within　given　deadlines.　Although　a　lane　reservation　strategy　can　improve　the　transportation　efficiency　and　safety　of　automated　trucks,　it　will　also　reduce　the　available　road　capacity　for　general-purpose　vehicles,　which　will　have　a　negative　impact　on　them.　Moreover,　general-purpose　vehicles　may　change　their　route　choices　according　to　the　changes　in　the　network　status　caused　by　dedicated　lanes.　Therefore,　this　paper　focuses　on　the　optimal　design　of　reserved　lanes　for　automated　trucks　considering　user　equilibrium.　A　new　bi-level　programming　model　is　first　formulated.　Then,　a　differential　evolution　algorithm　is　proposed　to　solve　it.　A　case　study　is　conducted　to　verify　the　effectiveness　of　the　proposed　model　and　method.　©　2021　IEEE.