Road section emergency traffic situation influence assessment and analysis model and method

The invention discloses a model and a method for evaluating and analyzing traffic situation influence of road section emergencies, and the method comprises the steps: deducing related follow-up traffic road condition evolution situation based on a Bayesian network and other related mining algorithms; the method comprises the following steps: collecting vehicle and road condition information, traffic accident grade and other data in a period of time before and after a violation moment of a violation vehicle from a traffic vehicle management system database, sorting and classifying the collected information, establishing a training set training model of a Bayesian network evaluation model, and incorporating a prediction grade into a model training range; according to the method, the traffic violation misjudgment is identified, the traffic section situation is evaluated, the decision support capability is provided for improving the emergency disposal of expressway emergencies, and meanwhile, based on a Bayesian