3DCoAutoSim: Simulator for Cooperative ADAS and Automated Vehicles

Ahmed Hussein; Alberto Díaz-Álvarez; José María Armingol; Cristina Olaverri-Monreal

doi:10.1109/ITSC.2018.8569512

3DCoAutoSim: Simulator for Cooperative ADAS and Automated Vehicles

Ahmed Hussein
, Alberto Díaz-Álvarez
, José María Armingol
, Cristina Olaverri-Monreal

Department Intelligent Transport Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

The field of intelligent technologies that range from intelligent control systems to wireless communications and sensing technologies is rapidly increasing, advancing thus the research on the Intelligent Transportation Systems (ITS) field and the related innovative intermodal transport services, traffic management and road safety. Driving simulators make it possible to study driver reactions in a controlled environment. Accordingly, this paper presents the design and development of a flexible, modular tailored simulation tool to the specific requirements for investigating the effect of automation and V2X communication on drivers. Moreover, the simulator is linked to Simulation of Urban MObility (SUMO) for micro traffic emulations and connected to Robot Operating System (ROS) for architecture management and nodes handling. The proposed simulator was validated through various driving experiments, which were carried out over a selected scenario trajectory. The obtained results were compared with the results from field tests and different path tracking algorithms for automated driving showing the outcome a good performance and efficient functionality.

Original language	English
Title of host publication	The 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018)
Editors	IEEE
Pages	3014-3019
Number of pages	6
ISBN (Electronic)	9781728103235
DOIs	https://doi.org/10.1109/ITSC.2018.8569512
Publication status	Published - 07 Dec 2018

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume	2018-November
ISSN (Print)	2153-0009
ISSN (Electronic)	2153-0017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

Fields of science

101015 Operations research
101016 Optimisation
502 Economics
502028 Production management
502017 Logistics
502037 Location planning
502050 Business informatics

JKU Focus areas

Social and Economic Sciences (in general)

Access to Document

10.1109/ITSC.2018.8569512

Cite this

Hussein, A., Díaz-Álvarez, A., Armingol, J. M., & Olaverri-Monreal, C. (2018). 3DCoAutoSim: Simulator for Cooperative ADAS and Automated Vehicles. In IEEE (Ed.), The 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018) (pp. 3014-3019). Article 8569512 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2018-November). https://doi.org/10.1109/ITSC.2018.8569512

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title = "3DCoAutoSim: Simulator for Cooperative ADAS and Automated Vehicles",

abstract = "The field of intelligent technologies that range from intelligent control systems to wireless communications and sensing technologies is rapidly increasing, advancing thus the research on the Intelligent Transportation Systems (ITS) field and the related innovative intermodal transport services, traffic management and road safety. Driving simulators make it possible to study driver reactions in a controlled environment. Accordingly, this paper presents the design and development of a flexible, modular tailored simulation tool to the specific requirements for investigating the effect of automation and V2X communication on drivers. Moreover, the simulator is linked to Simulation of Urban MObility (SUMO) for micro traffic emulations and connected to Robot Operating System (ROS) for architecture management and nodes handling. The proposed simulator was validated through various driving experiments, which were carried out over a selected scenario trajectory. The obtained results were compared with the results from field tests and different path tracking algorithms for automated driving showing the outcome a good performance and efficient functionality.",

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doi = "10.1109/ITSC.2018.8569512",

language = "English",

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Hussein, A, Díaz-Álvarez, A, Armingol, JM & Olaverri-Monreal, C 2018, 3DCoAutoSim: Simulator for Cooperative ADAS and Automated Vehicles. in IEEE (ed.), The 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018)., 8569512, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, vol. 2018-November, pp. 3014-3019. https://doi.org/10.1109/ITSC.2018.8569512

3DCoAutoSim: Simulator for Cooperative ADAS and Automated Vehicles. / Hussein, Ahmed; Díaz-Álvarez, Alberto; Armingol, José María et al.
The 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018). ed. / IEEE. 2018. p. 3014-3019 8569512 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - 3DCoAutoSim: Simulator for Cooperative ADAS and Automated Vehicles

AU - Hussein, Ahmed

AU - Díaz-Álvarez, Alberto

AU - Armingol, José María

AU - Olaverri-Monreal, Cristina

PY - 2018/12/7

Y1 - 2018/12/7

N2 - The field of intelligent technologies that range from intelligent control systems to wireless communications and sensing technologies is rapidly increasing, advancing thus the research on the Intelligent Transportation Systems (ITS) field and the related innovative intermodal transport services, traffic management and road safety. Driving simulators make it possible to study driver reactions in a controlled environment. Accordingly, this paper presents the design and development of a flexible, modular tailored simulation tool to the specific requirements for investigating the effect of automation and V2X communication on drivers. Moreover, the simulator is linked to Simulation of Urban MObility (SUMO) for micro traffic emulations and connected to Robot Operating System (ROS) for architecture management and nodes handling. The proposed simulator was validated through various driving experiments, which were carried out over a selected scenario trajectory. The obtained results were compared with the results from field tests and different path tracking algorithms for automated driving showing the outcome a good performance and efficient functionality.

AB - The field of intelligent technologies that range from intelligent control systems to wireless communications and sensing technologies is rapidly increasing, advancing thus the research on the Intelligent Transportation Systems (ITS) field and the related innovative intermodal transport services, traffic management and road safety. Driving simulators make it possible to study driver reactions in a controlled environment. Accordingly, this paper presents the design and development of a flexible, modular tailored simulation tool to the specific requirements for investigating the effect of automation and V2X communication on drivers. Moreover, the simulator is linked to Simulation of Urban MObility (SUMO) for micro traffic emulations and connected to Robot Operating System (ROS) for architecture management and nodes handling. The proposed simulator was validated through various driving experiments, which were carried out over a selected scenario trajectory. The obtained results were compared with the results from field tests and different path tracking algorithms for automated driving showing the outcome a good performance and efficient functionality.

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DO - 10.1109/ITSC.2018.8569512

M3 - Conference proceedings

T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

SP - 3014

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BT - The 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018)

A2 - IEEE, null

ER -

Hussein A, Díaz-Álvarez A, Armingol JM, Olaverri-Monreal C. 3DCoAutoSim: Simulator for Cooperative ADAS and Automated Vehicles. In IEEE, editor, The 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018). 2018. p. 3014-3019. 8569512. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC.2018.8569512

3DCoAutoSim: Simulator for Cooperative ADAS and Automated Vehicles

Abstract

Publication series

UN SDGs

Fields of science

JKU Focus areas

Access to Document

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Cite this