About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model publishing tutorial and contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 8 of 18 results traffic clear search
3D Urban Traffic Simulator (ABM) in Unity
Daniel Birks Sedar Olmez Obi Thompson Sargoni Alison Heppenstall Annabel Whipp Ed Manley | Published Friday, January 22, 2021 | Last modified Monday, March 22, 2021The Urban Traffic Simulator is an agent-based model developed in the Unity platform. The model allows the user to simulate several autonomous vehicles (AVs) and tune granular parameters such as vehicle downforce, adherence to speed limits, top speed in mph and mass. The model allows researchers to tune these parameters, run the simulator for a given period and export data from the model for analysis (an example is provided in Jupyter Notebook).
The data the model is currently able to output are the following:
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Traffic and Shipments out of Inter-Firm Communication in a Textile Industrial District
Guido Fioretti Guido Fioretti | Published Monday, April 27, 2020This article presents an agent-based model of an Italian textile district where thousands of small firms specialize in particular phases of fabrics production. It reconstructs the web of communication between firms as they arrange production chains. In turn, production chains result in road traffic between the geographical areas on which the district extends. The reconstructed traffic exhibits a pattern that has been observed, but not foreseen, by policy makers.
Evacuation of the city of Rouen using the GAMA advanced driving skill
Guillaume Czura Patrick Taillandier Pierrick Tranouez Eric Daudé | Published Thursday, April 25, 2019Model that illustrates the use of the GAMA advanced driving skill through a case study concerning the evacuation of the city of Rouen (France).
Bicycle model
Gudrun Wallentin Dana Kaziyeva Martin Loidl | Published Thursday, January 10, 2019 | Last modified Monday, February 22, 2021The purpose of the model is to generate the spatio-temporal distribution of bicycle traffic flows at a regional scale level. Disaggregated results are computed for each network segment with the minute time step. The human decision-making is governed by probabilistic rules derived from the mobility survey.
Hybrid traffic model
Patrick Taillandier Arnaud Banos Nathalie Corson | Published Thursday, March 16, 2017The model aims at simulating the car traffic. It allows to use either a macro or a micro sub-model for the simulation of the flow on the roads.
Salzburg Bicycle model
Gudrun Wallentin | Published Saturday, October 29, 2016An ABM to simulate the spatio-temporal distribution of cyclists across the road network of the city of Salzburg.
Eixample-MAS Traffic Simulation
Àlex Pardo Fernandez David Sánchez Pinsach | Published Tuesday, January 22, 2013 | Last modified Saturday, April 27, 2013This MAS simulates the traffic of Barcelona Eixample. Uses a centralized AI system in order to control the traffic lights. Car agents are reactive and have no awareness of the intelligence of the system. They (try to) avoid collisions.
ADAM: Agent-based Demand and Assignment Model
D Levinson | Published Monday, August 29, 2011 | Last modified Saturday, April 27, 2013The core algorithm is an agent-based model, which simulates travel patterns on a network based on microscopic decision-making by each traveler.
Displaying 8 of 18 results traffic clear search