Risk Evaluation of Urban Road Transportation System Based on Cloud Matter Element Model of Game Theory Combination
In order to ensure the safe operation of urban road traffic system and reduce the probability of urban traffic accidents,a risk evaluation model of urban road traffic system based on game theory combination empowerment cloud object element was proposed.Starting from the risk factors of urban road traffic system,combining with the Evaluation Indicator System of Urban Road Traffic Management,15 risk evaluation indicators such as the proportion of trainee drivers were selected to construct the evaluation indicator system of"human-vehicle-road-ring".Based on the cloud object element model,it solves the problem of ambiguity and randomness in the evaluation indexes,and at the same time,it uses game theory to optimize the combination of the expert scoring value processed by the C-OWA ordered weighting operator and the weights obtained by the improved entropy weighting method,and then calculates the risk level around the affiliation degree between the object element to be evaluated and the risk level.The model is applied to the road transportation system of a city A in the west of China to carry out the risk evaluation,and at the same time,the evaluation results of the model are compared with those of the C-OWA cloud object element model and the entropy weight cloud object element model.The study shows that the risk evaluation results of the indicators in the city A road transportation system obtained from the model are basically consistent with the results of the field visit research and the actual situation,and the game theory combination of empowerment cloud physical element urban road transportation system risk evaluation model is more practical and effective,which can provide a new way of thinking for the evaluation of the risk of the urban road transportation system.
cloud matter element modelurban road traffic systemsentropy weightC-OWA operatorcombination weighting based on game theoryrisk evaluation
万方数据
维普
