Language Dynamics Analysis Of Urbans' Traffic Congestion Transfer On Festivals And Holidays Based On Interval Type-2 Fuzzy Sets

At present,the city's ground traffic congestion is increasingly serious,and major cities have different levels of congestion during the commuting hours.However,on holidays,traffic congestion in cities has evolved into congestion at various levels such as tourist attractions,highways,national highways,and provincial roads.Different from urban traffic congestion on working days,holiday traffic jams show no morning or evening peaks,long congestion time,wide distribution range,complex and diversified congestion reasons,weak supervision power,difficulty in obtaining relevant data,and difficulties in timely handling of traffic accidents.Now,the rise of social media such as WeChat and Weibo has provided people with convenient access to information in a timely manner.In order to solve the problem of traffic congestion and its dynamic evolution process outside the city during the holidays on the working day,this thesis uses traffic police microblogging and other social media,comprehensive type-2 fuzzy sets,fuzzy comprehensive evaluation and language dynamic system theory to analyze traffic congestion and grade evaluation.This article manually extracts keywords that describe "traffic congestion" and the corresponding time,place,and disposal strategy,etc.,related to the characteristics of traffic jams,statistical keyword frequency,and traffic congestion data for working days and holidays,analyzed by the working day.Urban ground traffic congestion translates into holiday traffic jams.The traffic congestion state is expressed by the two type fuzzy set,and the language dynamics method is used to describe the process of congestion and evolution.Finally,the related data of traffic congestion are visualized with the keyword picture wall,and the improvement strategy of traffic congestion is proposed.Take the Shenzhen traffic police microblog as an example.Through the collected traffic police microblogging data in Shenzhen,we use type-2 fuzzy comprehensive assessment to analyze traffic congestion on working days and holidays in Shenzhen respectively,and obtain the degree of congestion and regularity of corresponding road sections on working days and holidays.The evolution of traffic jams from urban traffic jams on weekdays to highways,highways,national highways,and provincial roads is given.This paper is used social media to analyze the transition of traffic congestion in the holiday city and visualize traffic data.It is helpful to predict the traffic jams in the holidays and analyze the reasons.It is provided guidance for drivers on holiday traffic trips,and provided the basis for the traffic police department to formulate corresponding management policies.