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@@ -53,7 +53,7 @@ Nevertheless, the computation speed is not too slow, leveraging mesoscopic traff
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*UXsim* can be used by any user who has basic Python skills and an interest in traffic.
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It can be used for various purposes, such as university education and as an experimental environment for researchers in fields like civil engineering, urban planning, operations research, computer science, and others.
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It has already been used in a number of scientific publications such as Large Language Model-based system control [@microsofttrace] and traffic signal optimization [@iizuka].
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It has already been used in a number of scientific publications such as Large Language Model-based system control [@microsofttrace], traffic signal optimization in a network [@iizuka], and strategic impact evaluation of automated vehicles on a regional scale [@terHoeven2024master].
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# Related works
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*MATSim*[@matsim] is a more strategic-level transportation simulator that aims to simulate activity-travel behavior.
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In fact, a certain mode of *MATSim* uses models that are equivalent to those in *UXsim*.
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However, *MATSim* focuses more on holistic mobility, including people's travel decisions and mode choices in multi-modal transportation systems, rather than just traffic flow.
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However, *MATSim* focuses more on holistic mobility, including people's travel decisions and mode choices in multi-modal transportation systems.
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*UXsim* focuses on traffic flow simulation, making it simpler and easier to use and integrate with other packages.
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*dyntapy*[@dyntapy] is a macroscopic traffic simulator in Python.
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While it shares several features with *UXsim*, there are some distinct differences.
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# Define the scenario
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## Create nodes
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W.addNode(name="orig1", x=0, y=0)
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W.addNode(name="orig1", x=0, y=0)#xy coords are for visualization
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