The　driver-assisted　navigation　system　is　an　invaluable　tool.　However,　in　intricate　scenarios,　drivers　frequently　commit　navigation　errors.　To　mitigate　this　issue,　this　study　focuses　on　the　F-type　intersection　with　the　highest　incidence　of　deviations　as　the　research　subject.　Road　scenarios　are　replicated,　and　driver　behavior　data　is　collected　through　driving　simulator　technology.　Speed　and　speed　standard　deviation　are　indicators　for　investigating　the　influence　of　driveway　distance　(DD),　navigation　prompt　timing　(NPT),　and　driver　attributes　on　driving　efficiency　and　safety　stability　using　a　generalized　linear　mixed　model　(GLMM).　Findings　reveal　that　excessively　large　or　small　driveway　distances　and　navigation　messages　that　are　either　premature　or　delayed　negatively　affect　driving　efficiency　and　safety　stability.　Consequently,　it　is　recommended　to　adhere　to　a　driveway　distance　range　of　15-30m,　accompanied　by　the　prompt　mode　of　{-300m,　-150m,　Confirmation}.　Furthermore,　although　no　random　effects　of　driver　attributes　were　identified,　it　is　essential　to　recognize　that　driver　attributes　heavily　influence　their　driving　behavior　in　complex　road　scenarios.　This　study　lays　the　foundation　for　optimizing　the　design　of　road　facilities　and　navigation　systems.