Comprehensive Evaluation of Autonomous Navigation Based on Multi Model

In order to analyze the effects of self-driving cars on traffic, this establish shortest path problem model and fuzzy comprehensive evaluation model. To investigate the traffic on road network, this construct a dynamic shortest path model. Based on the map of Seattle, USA, this choose route5, 405, 90 520 and the fork roads nearby to be the peak numbers and construct an adjacent matrix. Then the average time taken on straight roads and fork roads is simulated. By adding together, an adjacent matrix regarding time could be obtained. Then this figure out the shortest driving time and path between any two positions. To attain an evaluation scheme, a fuzzy comprehensive evaluation model is established where the traffic capacity, convenience and safety are its indexes. Then this could complement a comprehensive evaluation to the percentage of self-driving cars by using analytical hierarchy process to determine index weight.

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