Traffic State Entropy Evaluation of Urban Road Network Based on Floating Car Data

Urban road network traffic state discrimination is the basis of traffic control and dynamic induction in intelligent transportation systems, and it's also an important content of traveler information services. Hence, based on the floating car data and map layer data, the road network micro-indicator set and macro-level indicators have been established. Then the macro and micro evaluation method of road network been proposed by using the gray system theory and information entropy theory, which is based on gray correlation entropy. The rationality and effectiveness of the method proposed in this paper have been verified by actual data.