公开(公告)号：US20220415166A1

公开(公告)日：2022-12-29

申请号：US17774651

申请日：2020-06-22

Applicant: BEIJING JIAOTONG UNIVERSITY

Inventor： Guohua SONG ,  Xin WANG

IPC: G08G1/01 ,  G08G1/017

Abstract: A power distribution and vehicle self-learning-based truck overload identification method, comprising: acquiring load identification data of a vehicle; calculating AOP values and STP values according to the load identification data of the vehicle; according to a plurality of sets of AOP values and STP values in a standard full-load state, constructing a power distribution curve of the vehicle in the standard full-load state; and comparing an AOP value during an actual operation process to a corresponding AOP value in the power distribution curve in the standard full-load state, and according to a comparison result, identifying whether the vehicle is overloaded. The method can show the operating states of overloaded vehicles in the road network in real time to provide convenience for oversize and overloading management. Loads of vehicles operating in the road network can be monitored in real time without additional equipment, thus improving the scope of overload identification.