In　the　realm　of　transportation　system　optimization,　enhancing　overall　performance　through　the　proactive　coordination　of　traffic　guidance　and　signal　control　in　a　divergent　network　can　tackle　the　challenges　posed　by　traffic　congestion　and　inefficiency.　Thus,　we　propose　an　innovative　approach　to　first　allow　the　information　on　variable　message　signs　(VMS)　that　deviates　from　estimated　travel　times.　This　proactive　approach　guides　drivers　towards　optimal　routes　from　a　system-wide　perspective,　such　as　minimizing　vehicle　hours　traveled.　The　deviation　is　constrained　both　by　the　lower　bound　of　drivers＇　long-term　compliance　rate　and　the　upper　bound　of　the　favored　traffic　signal　operation.　The　proposed　approach　coordinates　the　traffic　guidance　system　with　the　signal　control　system.　The　traffic　signal　control　system　sets　the　upper　limit　for　information　deviation　in　the　traffic　guidance　system,　while　the　traffic　guidance　system　provides　demand　predictions　for　the　traffic　signal　control　system.　Overall,　the　objective　function　of　the　approach　is　the　network-level　performance　of　all　users.　We　gauge　traveler　satisfaction　as　a　measure　of　system　credibility,　using　both　a　route　choice　module　and　a　satisfaction　degree　module　established　through　stated　preference　surveys.　Numerical　results　demonstrate　that　proactive-coordinated　(PC)　strategies　outperform　reactive-coordinated　(RC),　proactive-independent　(PI),　and　reactive-independent　(RI)　strategies　by　improving　the　system　performance,　meanwhile　keeping　the　system　trustworthy.　Under　the　normal　traffic　scenario,　the　PC　strategy　reduces　total　travel　time　by　approximately　10%.　Driver　satisfaction　with　the　PC　strategy　increases　from　a　baseline　of　76%　to　95%.　Moreover,　in　scenarios　with　sudden　changes　in　either　traffic　demand　or　supply,　e.g.,　accidents　or　large　events,　the　proactive　guidance　strategy　is　more　flexible　and　can　potentially　improve　more　from　the　system　perspective.