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Freeway merging areas are accident-prone roadways due to the frequent vehicle lane-changing interactions. It is necessary to ensure traffic safety on this roadway. And driver behavior is crucial to traffic safety. Therefore, it contributes to traffic safety to analyze and anticipate driving behavior in merging areas. To analyze the characteristics of driver behavior in merging areas, three scenarios were created based on Unity 3D. A total of 280 records were collected for the three different scenarios. A total of 120 people were invited to attend the test. The participants were clustered into three different types of driving styles using the clustering voting method. General drivers have the highest frequency of rapid acceleration and deceleration. Aggressive drivers have the fastest speed and the shortest minimum following distance, which makes it vulnerable to crashes, especially on highly accident-prone roads. Cautious driving style drivers have low speed, which can lead to traffic congestion and may also cause other vehicles to be forced to accelerate or decelerate sharply. Therefore, we should pay attention to these characteristics and make different responses to different drivers arriving at the merging area, based on these characteristics to reduce traffic crashes
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