This paper evaluates the traffic safety of freeway interchange merging areas based on the traffic conflict technique. The hourly composite risk indexes (HCRI) was defined. By the use of unmanned aerial vehicle (UAV) photography and video processing techniques, the conflict type and severity was judged. Time to collision (TTC) was determined with the traffic conflict evaluation index. Then, the TTC severity threshold was determined. Quantizing the weight of the conflict by direct losses of different severities of freeway traffic accidents, the calculated weight of the HCRI can be obtained. Calibration of the relevant parameters of the micro-simulation simulator VISSIM is conducted by the travel time according to the field data. Variables are placed into orthogonal tables at different levels. On the basis of this table, the trajectory file of every traffic condition is simulated, and then submitted into a surrogate safety assessment model (SSAM), identifying the number of hourly traffic conflicts in the merging area, a statistic of HCRI. Moreover, the multivariate linear regression model was presented and validated to study the relationship between HCRI and the influencing variables. A comparison between the HCRI model and the hourly conflicts ratio (HCR), without weight, shows that the HCRI model fitting degree was obviously higher than the HCR. This will be a reference to design and implement operational planners.

A traffic safety prediction model for the freeway interchange diverging area was established based on traffic conflict technology. Traffic conflict technology is a traditional, non-accident traffic safety evaluation method in which time to collision (TTC) is determined by a traffic conflict evaluation index. Using unmanned aerial vehicle (UAV) photography and video processing techniques, both the conflict type and the severity were obtained. By quantifying the weightings of conflicts as a result of direct economic losses for different severities of freeway traffic accidents, the hourly comprehensive risk conflict index (HCRI) can be obtained. A statistical model was then established under different road and traffic conditions and for TTCs corresponding to different conflict types of different severities. The total HCRI of the diverging area was then weighted. The HCRI risk grade was then classified according to the “σ method.” The evaluation method for traffic safety in the diverging area was verified for the Lindong interchange in China, and the result was classified as general dangerous.