skip to main content
10.1145/3448891.3448916acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmobiquitousConference Proceedingsconference-collections
research-article

Generation of Realistic Activity Scenarios for SUMO

Published: 09 August 2021 Publication History

Abstract

The SUMO traffic simulator is a mainstream tool that allows to model and analyse traffic and mobility scenarios. Fully realistic scenarios can be appealing for many use cases, but they require an initial large investment of resources for their creation. In fact, the usual workflow comprises the manual creation of a statistics file with detailed information about the city and its properties, up to describing how many people live and work on each road. This step is followed by the application of the tool ACTIVITYGEN to generate activity-based traffic. Current alternatives are based on simple randomly generated traffic, such as by means of the tool randomTrips. We present a compromise between the two approaches, consisting of mathematical techniques to generate schools, city gates, population density with residential and industrial areas, and a city centre. We also introduce an accompanying tool, randomActivityGen, which implements the approach to create ACTIVITYGEN statistics files automatically. Evaluation of generated scenarios shows that population and industry density, schools, and city-gates are placed realistically through testing on five representative Danish cities. The approach is also compared with the output of the tool randomTrips and the LuST scenario.

References

[1]
Luca Bedogni, Marco Gramaglia, Andrea Vesco, Marco Fiore, Jérôme Härri, and Francesco Ferrero. 2015. The Bologna Ringway dataset: improving road network conversion in SUMO and validating urban mobility via navigation services. IEEE Transactions on Vehicular Technology 64, 12 (2015), 5464–5476.
[2]
Jonathan Bennett. 2010. OpenStreetMap. Packt Publishing Ltd, Birmingham, UK.
[3]
Geoff Boeing. 2020. A multi-scale analysis of 27,000 urban street networks: Every US city, town, urbanized area, and Zillow neighborhood. Environment and Planning B: Urban Analytics and City Science 47, 4(2020), 590–608. https://doi.org/10.1177/2399808318784595
[4]
Robert Bridson. 2007. Fast Poisson disk sampling in arbitrary dimensions. In ACM SIGGRAPH 2007 sketches(SIGGRAPH ’07). ACM, San Diego, California, USA, 22–es.
[5]
Lara Codecá, Jakob Erdmann, Vinny Cahill, and Jérôme Harri. 2020. SAGA: An Activity-based Multi-modal Mobility Scenario Generator for SUMO. In SUMO 2020, SUMO User Conference, From Traffic Flow to Mobility Modeling, October 26-28, 2020, Cyberspace. DLR, Berlin, Online, 20 pages.
[6]
Lara Codecá, Raphaël Frank, Sébastien Faye, and Thomas Engel. 2017. Luxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation. IEEE Intelligent Transportation Systems Magazine 9, 2 (2017), 52–63.
[7]
Lara Codecá and Jérôme Härri. 2018. Monaco SUMO Traffic (MoST) Scenario: A 3D Mobility Scenario for Cooperative ITS. In SUMO 2018, SUMO User Conference, Simulating Autonomous and Intermodal Transport Systems, May 14-16, 2018, Berlin, Germany. DLR, Berlin, Berlin, GERMANY, 43–55.
[8]
David F Crouse. 2016. On implementing 2D rectangular assignment algorithms. IEEE Trans. Aerospace Electron. Systems 52, 4 (2016), 1679–1696.
[9]
G. Fasano and A. Franceschini. 1987. A multidimensional version of the Kolmogorov–Smirnov test. Monthly Notices of the Royal Astronomical Society 225, 1 (03 1987), 155–170. https://doi.org/10.1093/mnras/225.1.155 arXiv:https://academic.oup.com/mnras/article-pdf/225/1/155/18522274/mnras225-0155.pdf
[10]
Avery Guest. 1973. Urban growth and population densities. Demography 10, 1 (1973), 53–69.
[11]
Jérôme Härri, Fethi Filali, Christian Bonnet, and Marco Fiore. 2006. VanetMobiSim: generating realistic mobility patterns for VANETs. In Proceedings of the 3rd international workshop on Vehicular ad hoc networks. ACM, Los Angeles, CA, USA, 96–97.
[12]
Markus Hartinger, Daniel Krajzewicz, Jakob Erdmann, and Michael Behrisch. 2001. NETGENERATE documentation. https://sumo.dlr.de/docs/NETGENERATE.html.
[13]
Feliz Kristianto Karnadi, Zhi Hai Mo, and Kun-chan Lan. 2007. Rapid generation of realistic mobility models for VANET. In 2007 IEEE wireless communications and networking conference. IEEE, Hong Kong, 2506–2511.
[14]
Daniel Krajzewicz, Jakob Erdmann, and Michael Behrisch. 2020. SUMO randomTrips.py documentation. https://sumo.dlr.de/docs/Tools/Trip.html.
[15]
Stuart Lloyd. 1982. Least squares quantization in PCM. IEEE transactions on information theory 28, 2 (1982), 129–137.
[16]
Pablo Alvarez Lopez, Michael Behrisch, Laura Bieker-Walz, Jakob Erdmann, Yun-Pang Flötteröd, Robert Hilbrich, Leonhard Lücken, Johannes Rummel, Peter Wagner, and Evamarie WieBner. 2018. Microscopic traffic simulation using sumo. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, Maui, Hawaii, USA, 2575–2582.
[17]
Dave Mckenney and Tony White. 2013. Distributed and adaptive traffic signal control within a realistic traffic simulation. Engineering Applications of Artificial Intelligence 26, 1(2013), 574–583.
[18]
Børne og undervisningsministeriet styrelsen for IT og læring. 2020. Dan udtræk af aktive institutioner fra Institutionsregisteret. https://statistik.uni-c.dk/instregudtraek/.
[19]
J. A. Peacock. 1983. Two-dimensional goodness-of-fit testing in astronomy. Monthly Notices of the Royal Astronomical Society 202, 3 (03 1983), 615–627. https://doi.org/10.1093/mnras/202.3.615 arXiv:https://academic.oup.com/mnras/article-pdf/202/3/615/2902320/mnras202-0615.pdf
[20]
Ken Perlin. 1985. An Image Synthesizer. SIGGRAPH Comput. Graph. 19, 3 (July 1985), 287–296. https://doi.org/10.1145/325165.325247
[21]
Marco Rapelli, Claudio Casetti, and Giandomenico Gagliardi. 2019. TuST: from Raw Data to Vehicular Traffic Simulation in Turin. In 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT). IEEE, Cosenza, Italy, 1–8.
[22]
Insaf Sagaama, Amine Kchiche, Wassim Trojet, and Farouk Kamoun. 2019. Evaluation of the Energy Consumption Model Performance for Electric Vehicles in SUMO. In 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT). IEEE, Cosenza, Italy, 1–8.
[23]
Joerg Schweizer, Federico Rupi, Francesco Filippi, and Cristian Poliziani. 2018. Generating activity based, multi-modal travel demand for SUMO. EPiC Series in Engineering 2 (2018), 118–133.
[24]
Danmarks Statistik. 2020. BY1: Population 1. January by urban, rural areas, age and sex. https://www.statistikbanken.dk/statbank5a/SelectVarVal/Define.asp?Maintable=BY1.
[25]
Danmarks Statistik. 2020. Dwellings by unit, region, use and time. https://www.statistikbanken.dk/bol106.
[26]
Danmarks Statistik. 2020. Folketal. https://www.dst.dk/da/Statistik/emner/befolkning-og-valg/befolkning-og-befolkningsfremskrivning/folketal.
[27]
Emanuele Strano, Andrea Giometto, Saray Shai, Enrico Bertuzzo, Peter J Mucha, and Andrea Rinaldo. 2017. The scaling structure of the global road network. Royal Society open science 4, 10 (2017), 170590. https://doi.org/10.1098/rsos.170590
[28]
Emanuele Strano, Matheus Viana, Luciano da Fontoura Costa, Alessio Cardillo, Sergio Porta, and Vito Latora. 2013. Urban street networks, a comparative analysis of ten European cities. Environment and Planning B: Planning and Design 40, 6 (2013), 1071–1086.
[29]
Luis Urquiza-Aguiar, William Coloma-Gómez, Pablo Barbecho Bautista, and Xavier Calderón-Hinojosa. 2020. Comparison of SUMO’s vehicular demand generators in vehicular communications via graph-theory metrics. Ad Hoc Networks 106(2020), 102217.
[30]
Piotr Woznica, Walter Bamberger, Daniel Krajzewicz, Jakob Erdmann, and Michael Behrisch. 2001. ACTIVITYGEN documentation. https://sumo.dlr.de/docs/ACTIVITYGEN.html
[31]
Richard Saul Wurman. 2020. Urban Observatory. https://www.urbanobservatory.org/.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
MobiQuitous '20: MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
December 2020
493 pages
ISBN:9781450388405
DOI:10.1145/3448891
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 August 2021

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. ACTIVITYGEN
  2. Perlin noise
  3. Simulation of Urban MObility
  4. k-means

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • Innovation Fund Denmark

Conference

MobiQuitous '20
MobiQuitous '20: Computing, Networking and Services
December 7 - 9, 2020
Darmstadt, Germany

Acceptance Rates

Overall Acceptance Rate 26 of 87 submissions, 30%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 121
    Total Downloads
  • Downloads (Last 12 months)57
  • Downloads (Last 6 weeks)5
Reflects downloads up to 06 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media