Abstract
Large cities around the world face numerous challenges to guarantee the quality of life of its citizens. A promising approach to cope with these problems is the concept of Smart Cities, of which the main idea is the use of Information and Communication Technologies to improve city services. Being able to simulate the execution of Smart Cities scenarios would be extremely beneficial for the advancement of the field. Such a simulator, like many others, would need to represent a large number of various agents (e.g. cars, hospitals, and gas pipelines). One possible approach for doing this in a computer system is to use the actor model as a programming paradigm so that each agent corresponds to an actor. The Erlang programming language is based on the actor model and is the most commonly used implementation of it. In this paper, we present the first version of InterSCSimulator, an open-source, extensible, large-scale Traffic Simulator for Smart Cities developed in Erlang, capable of simulating millions of agents using a real map of a large city. Future versions will be extended to address other Smart City domains.
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Notes
- 1.
Open Street Maps—http://www.openstreetmap.org.
- 2.
Google Maps—http://maps.google.com.
- 3.
OD Matrix—https://goo.gl/DNM8in.
- 4.
OMNET++ - https://omnetpp.org.
- 5.
SUMO—http://sumo.dlr.de.
- 6.
Mesoscopic Traffic Models simulate each vehicle in transit, but with fewer details than a microscopic model. They often use a density function to determine the vehicle’s speed in a street.
- 7.
Celluloid—https://celluloid.io/.
- 8.
Reactors.io—http://reactors.io/.
- 9.
Ericsson—https://www.ericsson.com/.
- 10.
WhatsApp—https://goo.gl/If6k3d.
- 11.
- 12.
Erlang Digraph API—http://erlang.org/doc/man/digraph.html.
- 13.
- 14.
Origin-Destination Survey—https://goo.gl/DNM8in.
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Acknowledgments
This research is part of the INCT of the Future Internet for Smart Cities funded by CNPq, proc. 465446/2014-0, CAPES proc. 88887.136422/2017-00, and FAPESP, proc. 2014/50937-1 and was partially funded by Hewlett Packard Enterprise (HPE).
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Santana, E.F.Z., Lago, N., Kon, F., Milojicic, D.S. (2018). InterSCSimulator: Large-Scale Traffic Simulation in Smart Cities Using Erlang. In: Dimuro, G., Antunes, L. (eds) Multi-Agent Based Simulation XVIII. MABS 2017. Lecture Notes in Computer Science(), vol 10798. Springer, Cham. https://doi.org/10.1007/978-3-319-91587-6_15
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