Skip to main content

Vehicle-Pedestrian Interaction in SUMO and Unity3D

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 931))

Abstract

Road fatalities that involve Vulnerable Road Users (VRU) outnumber in some countries and regions ones that involve vehicular drivers and passengers. As most vulnerable road user fatalities happen in urban areas, where the traffic conditions are more demanding and an increased pedestrian interaction can result in unpredictable scenarios, it is imperative to study solutions to reduce the high rate of accidents in which pedestrians are involved. To this end, we present in this paper a simulation framework that provides a framework to generate a variety of pedestrian demands to simulate vehicle-pedestrian interaction and vice versa. A Transmission Control Protocol (TCP) connection combines the game engine Unity 3D with the Simulation of Urban Mobility (SUMO) open source traffic simulator. After creating the 2D scenario SUMO was connected with Unity 3D by using the Traffic Control Interface (TraCI) Protocol and TraCI as a Service (TraaS) library. The motion in Unity took place after instantiating the pedestrians retrieved from SUMO. The system was evaluated by detecting and visualizing pedestrians and vehicles that were within a specific range.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Jackish, J., Sethi, D., Mitis, M., Szymañski, T., Arra, I.: European facts and the Global status report on road safety 2015. WHO Regional Office for Europe, Copenhagen (2015). http://www.euro.who.int/__data/assets/pdf_file/0006/293082/European-facts-Global-Status-Report-road-safety-en.pdf?ua=1. Accessed 13 Oct 2018

  2. BrainonBoard.ca Vulnerable Road Users: Pedestrians and Cyclists. http://brainonboard.ca/program_resources/VulnerableRoadUsersPedestriansandCyclists_Fact_Sheet_Eng_4.pdf. Accessed 13 Oct 2018

  3. Olaverri-Monreal, C., Pichler, M., Krizek, G.C., Naumann, S.: Shadow as route quality parameter in a pedestrian-tailored mobile application. IEEE Intell. Transp. Syst. Mag. 8(4), 15–27 (2016)

    Article  Google Scholar 

  4. World Health Organization Europe Road Safety: Fact sheets on sustainable development goals: health targets. http://www.euro.who.int/__data/assets/pdf_file/0003/351444/3.6-Fact-sheet-SDG-Road-safety-FINAL-10-10-2017.pdf?ua=1. Accessed 2 Oct 2018

  5. Rostami, A., Cheng, B., Lu, H., Gruteser, M., Kenney, J.B.: Reducing unnecessary pedestrian-to-vehicle transmissions using a contextual policy. In: Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services - CarSys 2017, pp. 3–10 (2017)

    Google Scholar 

  6. Guo, L., Ge, P.S., Zhang, M.H., Li, L.H., Zhao, Y.B.: Pedestrian detection for intelligent transportation systems combining AdaBoost algorithm and support vector machine. Expert Syst. Appl. 39(4), 4274–4286 (2012)

    Article  Google Scholar 

  7. Nkosi, M.P., Hancke, G.P., dos Santos, R.M.A.: Autonomous pedestrian detection. In: AFRICON IEEE (2015). https://doi.org/10.1109/AFRCON.2015.7332014

  8. Allamehzadeh, A., Olaverri-Monreal, C.: Automatic and manual driving paradigms: cost-efficient mobile application for the assessment of driver inattentiveness and detection of road conditions. In: IEEE Intelligent Vehicles Symposium Proceedings, pp. 26–31 (2016)

    Google Scholar 

  9. Allamehzadeh, A., Urdiales de la Parra, J., Garcia, F., Hussein, A., Olaverri-Monreal, C.: Cost-efficient driver state and road conditions monitoring system for conditional automation. In: Proceedings IEEE Intelligent Vehicles Symposium, Los Angeles, USA, pp. 1497–1502 (2017)

    Google Scholar 

  10. Hussein, A., García, F., Armingol, J.M., Olaverri-Monreal, C.: P2V and V2P communication for pedestrian warning on the basis of autonomous vehicles. In: IEEE Proceedings Intelligent Transportation Systems Conference (ITSC), pp. 2034–2039 (2016)

    Google Scholar 

  11. Kokkinogenis, Z., Sanchez Passos, L., Rossetti, R., Gabriel, J.: Towards the next-generation traffic simulation tools: a first evaluation. In: 6th Iberian Conference on Information Systems and Technologies, pp. 15–18 (2011)

    Google Scholar 

  12. Doina, K.S.Y., Chin, H.C.: Traffic Simulation Modelling: VISSIM. https://docplayer.net/9916680-Traffic-simulation-modeling-vissim-koh-s-y-doina-1-and-chin-h-c-2.html. Accessed 14 Nov 2018

  13. Salgado, D., Jolovic, D., Martin, P.T., Aldrete, R.M.: Traffic microsimulation models assessment - a case study of international land port of entry. Procedia Comput. Sci. 83, 441–448 (2016)

    Article  Google Scholar 

  14. Biurrun-Quel, C., Serrano-Arriezu, L., Olaverri-Monreal, C.: Microscopic driver-centric simulator: linking unity 3D and SUMO. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds.) Recent Advances in Information Systems and Technologies. AISC, vol. 569, pp. 851–860. Springer, Cham (2017)

    Chapter  Google Scholar 

  15. Olaverri-Monreal, C., Errea-Moreno, J., Díaz-Álvarez, A.: Implementation and evaluation of a traffic light assistance system in a simulation framework based on V2I communication. J. Adv. Transp. 2018, 11 (2018). https://doi.org/10.1155/2018/3785957. Article ID 3785957

    Article  Google Scholar 

  16. Olaverri-Monreal, C., Errea-Moreno, J., Díaz-Álvarez, A., Biurrun-Quel, C., Serrano-Arriezu, L., Kuba, M.: Connection of the SUMO microscopic traffic simulator and the unity 3D graphic engine to evaluate V2X communication-based systems. Sens. J. 18(12), 439 (2018). https://doi.org/10.3390/s18124399

    Article  Google Scholar 

  17. Hussein, A., Diaz-Alvarez, A., Armingol, J.M., Olaverri-Monreal, C.: 3DCoAutoSim: simulator for cooperative ADAS and automated vehicles. In: Proceedings 21st International IEEE Conference on Intelligent Transportation Systems, ITSC2018, Hawaii, pp. 3014–3019 (2018)

    Google Scholar 

  18. SUMO - Simulation of Urban Mobility. http://sumo.dlr.de/index.html. Accessed 2 Dec 2018

Download references

Acknowledgments

This work was supported by the BMVIT endowed Professorship Sustainable Transport Logistics 4.0 and the Erasmus Program, code A WIEN 20.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cristina Olaverri-Monreal .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Artal-Villa, L., Olaverri-Monreal, C. (2019). Vehicle-Pedestrian Interaction in SUMO and Unity3D. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 931. Springer, Cham. https://doi.org/10.1007/978-3-030-16184-2_20

Download citation

Publish with us

Policies and ethics