The invention relates to an expressway heterogeneous traffic flow variable speed limit control method based on edge calculation, which comprises the following steps: based on multi-objective optimization, carrying out standardization processing on average delay and average queuing length indexes by utilizing a threshold value method, and setting the indexes as a reward function of the variable speed limit control method; deploying an RSU and a variable speed limit control agent to integrate an edge computing node, and extracting expressway heterogeneous traffic flow information to serve as a state space of an EDQN algorithm; performing feature dimension reduction on the state space of the heterogeneous traffic flow by using a convolutional neural network; importing a result output by the CNN network into a full connection layer, executing an action and outputting a Q value of a current time step; storing samples in a Prioritized reply Buffer, wherein the KL divergence is used as the priority of training samples for sorting, so that the loss function is minimized, and the variable speed limit control effect is effectively improved; and 6, judging whether the greedy algorithm converges or not. According to the method, the reward function based on multi-objective optimization is considered, the overall traffic efficiency is improved, and bottleneck congestion is reduced.
Expressway heterogeneous traffic flow variable speed limit control method based on edge calculation