Amidst the technologies in the 4th Industrial Revolution, Information & Communication Technology (ICT) and automobile researches have been actively performed to commercialize autonomous driving vehicles.
However, research on autonomous vehicles focused merely on infrastructure construction and f...
Amidst the technologies in the 4th Industrial Revolution, Information & Communication Technology (ICT) and automobile researches have been actively performed to commercialize autonomous driving vehicles.
However, research on autonomous vehicles focused merely on infrastructure construction and few in the capacity analysis. Capacity analysis, especially in the continuous flow segment, lacks understanding of how autonomous vehicles move when entering the city center and how it affects the traffic around them.
In this research, the introduction of autonomous vehicles was analyzed by investigating its movement in the city center, and understand the impact in the surrounding traffic. Also, the driving safety of regular vehicles was assessed throughout the influx of autonomous vehicles by replicating actual driving behavior using external programs.
Prior to analysis, parameters for the implementation of autonomous vehicles were set. The parameters were selected and applied to improve network efficiency, such as the number of conflicts and delay time.
The target area for analysis was conducted in the segment of Nohyeong-ro to Doryeong-ro in Shin Jeju, Jeju Special Self-Governing Province, where the C-ITS project is being implemented. A total of three case scenarios were analyzed and studied in the target area.
The movement method in the intersections was assigned into two types: Priority Rules and Conflict Areas. As a result of the analysis in each method, the Conflict Areas method with less delay should be used when the amount of two-way traffic in the intersection exceeds 800 vehicles/hour. It was also concluded that if it exceeds 1,000 vehicles/hour, it is desirable to operate with signal crossover instead of non-signal.
In the traffic axis, the ratio of autonomous vehicle introduction was compared before and after introducing autonomous driving lanes, and the lanes were separated from the central lane and the transverse lane.
As a result of the analysis, when the traverse and center lane were introduced, the intersection delay time in the traffic axis increases while the traffic speed decreases. Due to the short lane change section, it affects the regular vehicle traffic due to the excessive lane changing of autonomous vehicles in the dedicated lanes.
Lastly, by linking PTV Vissim to Unity 3D Software, the safety analysis was performed to reflect the actual driving behavior. Based on the analysis of driving safety according to the ratio of autonomous vehicle influx, 50% of the autonomous vehicles were relatively safe with a small standard deviation in the traffic speed.
In this research, the influence of autonomous vehicles on urban traffic was grasped at the urban level. Through this study, it was possible to derive the problems of the traffic methods and the introduction of autonomous vehicles in advance. It is expected to help to prepare.
Amidst the technologies in the 4th Industrial Revolution, Information & Communication Technology (ICT) and automobile researches have been actively performed to commercialize autonomous driving vehicles.
However, research on autonomous vehicles focused merely on infrastructure construction and few in the capacity analysis. Capacity analysis, especially in the continuous flow segment, lacks understanding of how autonomous vehicles move when entering the city center and how it affects the traffic around them.
In this research, the introduction of autonomous vehicles was analyzed by investigating its movement in the city center, and understand the impact in the surrounding traffic. Also, the driving safety of regular vehicles was assessed throughout the influx of autonomous vehicles by replicating actual driving behavior using external programs.
Prior to analysis, parameters for the implementation of autonomous vehicles were set. The parameters were selected and applied to improve network efficiency, such as the number of conflicts and delay time.
The target area for analysis was conducted in the segment of Nohyeong-ro to Doryeong-ro in Shin Jeju, Jeju Special Self-Governing Province, where the C-ITS project is being implemented. A total of three case scenarios were analyzed and studied in the target area.
The movement method in the intersections was assigned into two types: Priority Rules and Conflict Areas. As a result of the analysis in each method, the Conflict Areas method with less delay should be used when the amount of two-way traffic in the intersection exceeds 800 vehicles/hour. It was also concluded that if it exceeds 1,000 vehicles/hour, it is desirable to operate with signal crossover instead of non-signal.
In the traffic axis, the ratio of autonomous vehicle introduction was compared before and after introducing autonomous driving lanes, and the lanes were separated from the central lane and the transverse lane.
As a result of the analysis, when the traverse and center lane were introduced, the intersection delay time in the traffic axis increases while the traffic speed decreases. Due to the short lane change section, it affects the regular vehicle traffic due to the excessive lane changing of autonomous vehicles in the dedicated lanes.
Lastly, by linking PTV Vissim to Unity 3D Software, the safety analysis was performed to reflect the actual driving behavior. Based on the analysis of driving safety according to the ratio of autonomous vehicle influx, 50% of the autonomous vehicles were relatively safe with a small standard deviation in the traffic speed.
In this research, the influence of autonomous vehicles on urban traffic was grasped at the urban level. Through this study, it was possible to derive the problems of the traffic methods and the introduction of autonomous vehicles in advance. It is expected to help to prepare.
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