Roadway irregularities including vehicle failures, traffic accidents, and more may cause traffic bottlenecks. Targeted traffic management and control depend on precise evaluation of uncommon occurrences' influence range and increasing tendency. It enhances roadway service and operation. Expressway abnormal incidence estimation uses traffic flow theory. Traffic parameter detection accuracy cannot satisfy model input, making engineering application difficult. Emulation analysis was utilized to assess highway traffic flow space-time correlation and vehicle detector features, and VISSIM simulation system was used to calibrate traffic flow parameters and rectify driving behavior parameters. The authors developed a Dynamic-Data-Driven Application Systems (DDDAS)-based highway exceptional event impact area emulation analysis approach after a particle filtering investigation. Features: Traffic and driving simulation model calibration. Freeway traffic flow, analysis, and vehicle inspection data calibrated traffic flow simulation model parameters. The simulation model driving behavior parameter calibration default value is incorrect, hence weak single factor sensitivity analysis was employed to determine the core adjustment parameters. Study genetic algorithm simulation model driving behavior parameter modification. Finally, car inspection data confirmed the model. The model accurately simulates road traffic. ② Particle filter-based traffic simulation model data assimilation analysis. Traffic wave and threshold theory preprocess highway vehicle inspection data. The DDDAS-based traffic simulation analysis system uses particle filter data assimilation. Show the method using numbers. The particle filter-based traffic simulation model can continuously absorb real-time data to correctly predict event blocking road places and queue lengths. The paper concludes by detailing the traffic simulation model. Combining Beibei tunnel section vehicle detector data of G75 highway, we choose typical and actual traffic exceptional events to build similar simulation scene, verifying the DDDAS-based highway exceptional event impact area emulation analysis method.