Simulating a Three-Lane Roundabout Using SUMO

Optimizing Urban-Scale Evacuation Strategies Through Disaster Victim Aggregation Modification

“…The simulation was run ten times to obtain an average value, considering different aggregation processes and modifying three pedestrian attributes. There are three modified pedestrian attributes are as follows [56]:…”

Implementing Artificial Neural Network-Based Gap Acceptance Models in the Simulation Model of a Traffic Circle in SUMO

“…Therefore, accurate replication of traffic behavior models, such as gap acceptance, car following, lane changing, and so on, necessitates performing a calibration and validation process with the objective of minimizing the difference between simulated and observed outputs (28). There is rich literature focusing on assessing the impact of various design and operational alternatives using simulation models (3,19,(27)(28)(29)(30)(31). Leite et al (31) examined the performance of a roundabout under various operational conditions, such as changing the speed and acceleration within roundabouts as well as the minimum distance between vehicles, with the application of the SUMO simulation tool.…”

“…There is rich literature focusing on assessing the impact of various design and operational alternatives using simulation models (3,19,(27)(28)(29)(30)(31). Leite et al (31) examined the performance of a roundabout under various operational conditions, such as changing the speed and acceleration within roundabouts as well as the minimum distance between vehicles, with the application of the SUMO simulation tool. The main conclusion drawn from this study is that a balance between the minimum safe distance and adequate acceleration could be achieved through an accurate calibration of the underlying simulation functions, such as the car-following or lane-changing models.…”