diff --git a/modelos.ipynb b/modelos.ipynb
index 68b1dbd..019c86d 100644
--- a/modelos.ipynb
+++ b/modelos.ipynb
@@ -388,7 +388,7 @@
     "\n",
     "# Estat\u00edsticas (M\u00e9dia e Desvio Padr\u00e3o) por trecho\n",
     "estatisticas_trechos = demanda_diaria_completa.groupby('Trecho').agg(\n",
-    "    Media_PAX_Diario=('PAX', 'mean'),\n",
+    "    Media_PAX_Diario=('PAX', 'mean'),\n    Max_PAX_Diario=('PAX', 'max'),\n",
     "    Desvio_Padrao_PAX=('PAX', 'std'),\n",
     "    Total_PAX=('PAX', 'sum'),\n",
     "    Dias_Operados=('PAX', lambda x: (x > 0).sum())\n",
@@ -570,7 +570,7 @@
     "# Demanda de voos por rota\n",
     "voos_requeridos = {}\n",
     "for _, row in top_trechos.iterrows():\n",
-    "    voos = math.ceil(row['Media_PAX_Dias_Operados'] / CAPACIDADE_C97)\n",
+    "    voos = math.ceil(row['Max_PAX_Diario'] / CAPACIDADE_C97)\n",
     "    voos_requeridos[row['Trecho']] = max(1, voos)\n",
     "\n",
     "# MODELAGEM COM PULP\n",
@@ -1239,7 +1239,7 @@
     "demanda_diaria_completa_c99 = pd.merge(demanda_diaria_completa_c99, demanda_diaria_c99, on=['Trecho', 'Data Apenas'], how='left').fillna({'PAX': 0})\n",
     "\n",
     "estatisticas_trechos_c99 = demanda_diaria_completa_c99.groupby('Trecho').agg(\n",
-    "    Media_PAX_Diario=('PAX', 'mean'),\n",
+    "    Media_PAX_Diario=('PAX', 'mean'),\n    Max_PAX_Diario=('PAX', 'max'),\n",
     "    Desvio_Padrao_PAX=('PAX', 'std'),\n",
     "    Total_PAX=('PAX', 'sum'),\n",
     "    Dias_Operados=('PAX', lambda x: (x > 0).sum())\n",
@@ -1332,7 +1332,7 @@
     "\n",
     "voos_requeridos_c99 = {}\n",
     "for _, row in top_trechos_c99.iterrows():\n",
-    "    voos = math.ceil(row['Media_PAX_Dias_Operados'] / CAPACIDADE_C99)\n",
+    "    voos = math.ceil(row['Max_PAX_Diario'] / CAPACIDADE_C99)\n",
     "    voos_requeridos_c99[row['Trecho']] = max(1, voos)\n",
     "\n",
     "prob4 = pulp.LpProblem(\"Fleet_Assignment_C99_Brasil\", pulp.LpMinimize)\n",
@@ -1924,7 +1924,7 @@
     "\n",
     "demanda_pax_mix = {}\n",
     "for _, row in top_trechos_mix.iterrows():\n",
-    "    demanda_pax_mix[row['Trecho']] = row['Media_PAX_Dias_Operados']\n",
+    "    demanda_pax_mix[row['Trecho']] = row['Max_PAX_Diario']\n",
     "\n",
     "prob7 = pulp.LpProblem(\"Fleet_Assignment_Mix_Brasil\", pulp.LpMinimize)\n",
     "\n",
@@ -2205,7 +2205,7 @@
     "demanda_semanal_completa_mix = pd.merge(demanda_semanal_completa_mix, demanda_semanal_mix, on=['Trecho', 'Semana'], how='left').fillna({'PAX': 0})\n",
     "\n",
     "estatisticas_trechos_semana = demanda_semanal_completa_mix.groupby('Trecho').agg(\n",
-    "    Total_PAX=('PAX', 'sum'),\n",
+    "    Total_PAX=('PAX', 'sum'),\n    Max_PAX_Semanal=('PAX', 'max'),\n",
     "    Semanas_Operadas=('PAX', lambda x: (x > 0).sum())\n",
     ").reset_index()\n",
     "\n",
@@ -2232,7 +2232,7 @@
     "\n",
     "demanda_pax_semana = {}\n",
     "for _, row in top_trechos_semana.iterrows():\n",
-    "    demanda_pax_semana[row['Trecho']] = row['Media_PAX_Semanas_Operadas']\n"
+    "    demanda_pax_semana[row['Trecho']] = row['Max_PAX_Semanal']\n"
    ]
   },
   {