The invention discloses a traffic dynamic shortest path
distribution method and
system based on a triangular
fuzzy number weight, and relates to the technical field of intelligent traffic systems.Fuzzy information in a path evaluation attribute is represented through a triangular
fuzzy number, a comprehensive weight is analyzed and calculated in combination with deviation maximization and a
moisture value, and the decision reliability is effectively improved; a K-Means
algorithm is adopted to perform dynamic
path search, and through a representative vertex subset pre-calculation and increment updating strategy, the path retrieval efficiency is remarkably improved; a
travel time prediction model related to departure time and real-time flow is established, and accurate response to accidental congestion is realized; and finally, outputting an optimal path scheme through a multi-objective decision-making method. Compared with a traditional
algorithm, the speed is improved on a real road
network data set, the path distribution accuracy is improved, meanwhile, the path safety, comfort and efficiency are effectively balanced, real-
time path planning under a large-scale road network is supported, and an efficient solution is provided for intelligent
traffic management.