An Analysis of the Use Case Effect of Traffic Operation Scenario in Response to Incidents for Mixed Traffic Situations

This study aims to analyze the effects of providing traffic operation strategies to autonomous vehicles in response to incidents in mixed traffic situations involving autonomous vehicles and manual vehicles. The use case scenario of providing detour information for incidents in a living lab where autonomous vehicles are expected to operate is intended to derive the effects of traffic operation strategies through comparison of average travel speeds. In order to analyze the effectiveness of traffic operation strategy in traffic situations where autonomous vehicles and manual vehicles coexist, three scenarios were designed for peak and non-peak traffic conditions, and the average travel time of autonomous vehicles for each autonomous driving service was calculated and analyzed as an indicator for judging the effectiveness of the information provision scenario for detours. The simulation analysis results for scenario 2, where an incident occurs, showed that the average travel speed increased compared to scenario 1, and this was analyzed to reflect the bottleneck caused by the incident (reducing operation from 3 lanes to 1 lane). In scenario 3, which simulates the case where detour information is provided as part of the incident response traffic operation strategy, the average travel time of autonomous vehicles decreases compared to scenario 2 for the occurrence of an incident. Therefore, it is judged that the traffic conditions improves as autonomous vehicles select the detour as a strategy for providing detour information in response to an incident, thereby reducing the demand for vehicles passing through the incident location. This study is significant in that it analyzed the effectiveness of traffic operation strategy by implementing an actual traffic environment as a simulation program for the use case of traffic operation strategy that can be provided to autonomous vehicles when an incident occurs in a mixed situation of autonomous vehicles and manual vehicles, and as an initial study in preparation for the era of autonomous driving, it is a study on mixed situations of autonomous vehicles in urban areas.