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Due to the influence of factors such as weather, road conditions, and vehicle driving status during the process of vehicle overload and unbalanced load detection, the array composed of signals is too short. Using the traditional Trackside Performance Detection System (TPDS) for vehicle overload and unbalanced load detection has lower accuracy and longer time consumption. Propose research on vehicle overload and unbalanced load detection based on improved TPDS long array. Through the dynamic monitoring system of vehicle operation quality on the trackside, the mechanical signals are converted into voltage signals using distance sensors and data acquisition instruments. The output signals are combined into a long array and input into the distance sensors of the system; Using EDM algorithm to eliminate noise points in long arrays; Install four distance sensors at the bottom of the freight vehicle, use the dynamic weighing method of the freight vehicle, calculate the total bearing capacity of each spring group on the vehicle, and combine with the useful signal of the vehicle to measure the load situation of the vehicle, achieving the detection of vehicle overload and deviation. The experimental results show that the use of long arrays to improve the TPDS system results in high measurement accuracy, detection efficiency, and detection stability..