This research demonstrates a calculation method for traffic capacity in merging areas, suggesting improved urban traffic management in mountainous regions.
Key Points
The central aim is to develop a capacity calculation model for short-distance continuous merging areas in mountainous urban settings.
Defined short-distance continuous merging areas.
Utilized drones for empirical data collection.
Analyzed geometric and traffic flow characteristics descriptively.
Investigated relationships between capacity and key factors.
Validated the model using VISSIM simulation.
Shorter merging point spacing increases traffic flow turbulence.
Capacity is mainly influenced by merging point spacing and ratios.
The calculation method shows high accuracy with a maximum error of 2.77%.