diff --git a/app/eva_common.py b/app/eva_common.py
index bf1cc73..d471e19 100644
--- a/app/eva_common.py
+++ b/app/eva_common.py
@@ -740,49 +740,33 @@ def calc_inroad_imbalance_index(inroad_delay_pb_list):
 
 
 def _classify_angles_to_turn_types(angles, is_merge=False):
-    """
-    自适应阈值转向分类。
-    从实际角度数据中提取候选阈值，优先填满更多转向类型，其次选择最接近默认阈值的方案。
-    """
     if not angles:
         return set()
 
     default_straight = 30
     default_uturn = 150
 
-    abs_angles = sorted(set(round(abs(a)) for a in angles))
-
-    straight_candidates = set()
-    uturn_candidates = set()
-    for aa in abs_angles:
-        if 20 <= aa <= 50:
-            straight_candidates.add(aa)
-        if 135 <= aa <= 165:
-            uturn_candidates.add(aa)
-    straight_candidates.add(default_straight)
-    uturn_candidates.add(default_uturn)
-    straight_candidates = sorted(straight_candidates)
-    uturn_candidates = sorted(uturn_candidates)
-
-    def classify(straight_thr, uturn_thr):
-        types = set()
-        for a in angles:
-            if abs(a) <= straight_thr:
-                types.add(0)
-            elif abs(a) >= uturn_thr:
-                types.add(3)
-            elif a > 0:
-                types.add(1 if is_merge else 2)
-            else:
-                types.add(2 if is_merge else 1)
-        return types
+    abs_angles = sorted(set(abs(a) for a in angles))
+    straight_candidates = sorted(set(abs_angles + [default_straight]))
+    uturn_candidates = sorted(set(abs_angles + [default_uturn]))
 
     best_types = None
     best_score = (-1, float('inf'), float('inf'))
 
     for s_thr in straight_candidates:
         for u_thr in uturn_candidates:
-            types = classify(s_thr, u_thr)
+            if s_thr >= u_thr:
+                continue
+            types = set()
+            for a in angles:
+                if abs(a) <= s_thr:
+                    types.add(0)
+                elif abs(a) >= u_thr:
+                    types.add(3)
+                elif a > 0:
+                    types.add(1 if is_merge else 2)
+                else:
+                    types.add(2 if is_merge else 1)
             score = (len(types), -abs(s_thr - default_straight), -abs(u_thr - default_uturn))
             if score > best_score:
                 best_score = score