diff --git a/src/carla_traffic_light/README.md b/src/carla_traffic_light/README.md
index 76adf016de..7bcc1939fa 100644
--- a/src/carla_traffic_light/README.md
+++ b/src/carla_traffic_light/README.md
@@ -1,5 +1,5 @@
-# CARLA 0.9.11 中的交通灯检测与自主控制
-本项目使用 CARLA 仿真器（0.9.11 版本）实现了一套简易自主控制系统。系统利用摄像头数据检测**交通灯**，并控制车辆**红灯停车**、**绿灯通行**。
+# CARLA 0.9.15 中的交通灯检测与自主控制
+本项目使用 CARLA 仿真器（0.9.15 版本）实现了一套简易自主控制系统。系统利用摄像头数据检测**交通灯**，并控制车辆**红灯停车**、**绿灯通行**。
 
 ## 功能特点：
 - 利用 RGB 摄像头与边界框进行**交通灯检测**。
diff --git a/src/carla_traffic_light/code/automatic_control.py b/src/carla_traffic_light/code/automatic_control.py
index 3bce2effc4..7ee3aa37e3 100644
--- a/src/carla_traffic_light/code/automatic_control.py
+++ b/src/carla_traffic_light/code/automatic_control.py
@@ -7,7 +7,7 @@
 # For a copy, see <https://opensource.org/licenses/MIT>.
 
 """Example of automatic vehicle control from client side."""
-
+# -*- coding: utf-8 -*-
 from __future__ import print_function
 
 import argparse
@@ -701,12 +701,12 @@ def game_loop(args):
             spawn_points = world.map.get_spawn_points()
             random.shuffle(spawn_points)
 
-            if spawn_points[0].location != agent.vehicle.get_location():
+            if spawn_points[0].location != world.player.get_location():
                 destination = spawn_points[0].location
             else:
                 destination = spawn_points[1].location
 
-            agent.set_destination(agent.vehicle.get_location(), destination, clean=True)
+            agent.set_destination(world.player.get_location(), destination)
 
         clock = pygame.time.Clock()
 
@@ -733,27 +733,28 @@ def game_loop(args):
                 control.manual_gear_shift = False
                 world.player.apply_control(control)
             else:
-                agent.update_information()
+                #agent.update_information()
 
                 world.tick(clock)
                 world.render(display)
                 pygame.display.flip()
 
                 # Set new destination when target has been reached
-                if len(agent.get_local_planner().waypoints_queue) < num_min_waypoints and args.loop:
-                    agent.reroute(spawn_points)
-                    tot_target_reached += 1
-                    world.hud.notification("The target has been reached " +
-                                           str(tot_target_reached) + " times.", seconds=4.0)
-
-                elif len(agent.get_local_planner().waypoints_queue) == 0 and not args.loop:
-                    print("Target reached, mission accomplished...")
-                    break
+                #if len(agent.get_local_planner().waypoints_queue) < num_min_waypoints and args.loop:
+                #    agent.reroute(spawn_points)
+                #    tot_target_reached += 1
+                #    world.hud.notification("The target has been reached " +
+                #                           str(tot_target_reached) + " times.", seconds=4.0)
+
+                #elif len(agent.get_local_planner().waypoints_queue) == 0 and not args.loop:
+                #    print("Target reached, mission accomplished...")
+                #    break
 
                 speed_limit = world.player.get_speed_limit()
                 agent.get_local_planner().set_speed(speed_limit)
 
                 control = agent.run_step()
+                print(f"Throttle: {control.throttle}, Steer: {control.steer}, Brake: {control.brake}")  # 添加这行
                 world.player.apply_control(control)
 
     finally:
@@ -843,4 +844,4 @@ def main():
 
 
 if __name__ == '__main__':
-    main()
+    main()
\ No newline at end of file
diff --git a/src/carla_traffic_light/requirements.txt b/src/carla_traffic_light/requirements.txt
index 57c1429743..ba632b7ae3 100644
--- a/src/carla_traffic_light/requirements.txt
+++ b/src/carla_traffic_light/requirements.txt
@@ -1,11 +1,9 @@
 requirements file:
 
 
-carla==0.9.11
+carla==0.9.15
 pygame==2.1.0
-numpy==1.23.5
+numpy==1.21.6
 opencv-python==4.8.0.76
-matplotlib==3.7.1
-torch==2.0.0       # Only if you're using PyTorch for detection
-torchvision==0.15.1
+matplotlib==3.5.3
 Pillow==9.4.0