![]() The implementation of curves is bad and inefficient and causes problems with interactions between vehicles and traffic signals. ![]() While we can modify the Simulation class to store data about our simulation that we can use later, it would be better if the data gathering process was more streamlined. The stochastic vehicle generator generates the vehicle Vᵢ with probability pᵢ. Vehicle configuration list(L): A list of tuples containing the configuration and probability of vehicles.Vehicle generation rate (τ): (in vehicles per minute) describes how many vehicles should be added to the simulation, on average, per minute.Add vehicles stochastically according to pre-defined probabilities.įor the second option, we have to define a stochastic vehicle generator.Ī stochastic vehicle generator is defined by two constraints:.Add every vehicle manually to the simulation by creating a new Vehicle class instance and adding it to the list of vehicles.In order to add vehicles to our simulation we have two options: In the simulation we won’t keep a set (array) of nodes, instead, every road is going to be explicitly defined by the values of its start and end nodes. When a vehicle reaches the end of the road, we remove it from that road and append it to its next road. We will apply the Intelligent Driver Model for vehicles in the same road (same edge). E is the set of edges that represent roads.Įvery vehicle is going to have a path consisting of multiple roads (edges).To do this, we will use a directed graph G=(V, E).
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