Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Cooperative Driving Simulation
Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. Högskolan i Halmstad.
Högskolan i Halmstad.
Swedish National Road and Transport Research Institute, Traffic and road users.ORCID iD: 0000-0002-0822-5701
Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization.ORCID iD: 0000-0002-0936-1561
2016 (English)In: Proceedings of the Driving Simulation Conference 2016, 2016, p. 123-132Conference paper, Published paper (Refereed)
Abstract [en]

For a few decades, driving simulators have been supporting research and development of advanced driver assistance systems (ADAS). In the near future, connected vehicles are expected to be deployed. Driving simulators will need to support evaluation of cooperative driving applications within cooperative intelligent transportation systems (C-ITS) scenarios. C-ITS utilize vehicle-to-vehicle and vehicle-to-infrastructure (V2X) communication. Simulation of the inter vehicle communication is often not supported in driving simulators. On the other hand, previous efforts have been made to connect network simulators and traffic simulators, to perform C-ITS simulations. Nevertheless, interactions between actors in the system is an essential aspect of C-ITS. Driving simulators can provide the opportunity to study interactions and reactions of human drivers to the system. This paper present simulation of a C-ITS scenario using a combination of driving, network, and traffic simulators. The architecture of the solution and important challenges of the integration are presented. A scenario from Grand Cooperative Driving Challenge (GCDC) 2016 is implemented in the simulator as an example use case. Lastly, potential usages and future developments are discussed.

Place, publisher, year, edition, pages
2016. p. 123-132
Keywords [en]
Intelligent transport system, Platooning (electronic), Simulator (driving), Simulation, Traffic, Network (traffic)
National Category
Computer Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
20 Road: Traffic engineering, 23 Road: ITS och traffic; 80 Road: Traffic safety and accidents, 84 Road: Road users
Identifiers
URN: urn:nbn:se:vti:diva-12688OAI: oai:DiVA.org:vti-12688DiVA, id: diva2:1167727
Conference
DSC 2016 Europe, Driving Simulation and Virtual Reality Conference and Exhibition, 7-9 sept, 2016, Paris, France
Funder
Knowledge FoundationAvailable from: 2016-09-12 Created: 2017-12-19 Last updated: 2018-02-09Bibliographically approved
In thesis
1. Modelling and Simulation for Evaluation of Cooperative Intelligent Transport System Functions
Open this publication in new window or tab >>Modelling and Simulation for Evaluation of Cooperative Intelligent Transport System Functions
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Future vehicles are expected to be equipped with wireless communication technology, that enables them to be “connected” to each others and road infrastructures. Complementing current autonomous vehicles and automated driving systems, the wireless communication allows the vehicles to interact, cooperate, and be aware of its surroundings beyond their own sensors’ range. Such sys- tems are often referred to as Cooperative Intelligent Transport Systems (C-ITS), which aims to provide extra safety, efficiency, and sustainability to transporta- tion systems. Several C-ITS applications are under development and will require thorough testing and evaluation before their deployment in the real-world. C- ITS depend on several sub-systems, which increase their complexity, and makes them difficult to evaluate.

Simulations are often used to evaluate many different automotive applications, including C-ITS. Although they have been used extensively, simulation tools dedicated to determine all aspects of C-ITS are rare, especially human factors aspects, which are often ignored. The majority of the simulation tools for C-ITS rely heavily on different combinations of network and traffic simulators. The human factors issues have been covered in only a few C-ITS simulation tools, that involve a driving simulator. Therefore, in this thesis, a C-ITS simulation framework that combines driving, network, and traffic simulators is presented. The simulation framework is able to evaluate C-ITS applications from three perspectives; a) human driver; b) wireless communication; and c) traffic systems.

Cooperative Adaptive Cruise Control (CACC) and its applications are chosen as the first set of C-ITS functions to be evaluated. Example scenarios from CACC and platoon merging applications are presented, and used as test cases for the simulation framework, as well as to elaborate potential usages of it. Moreover, approaches, results, and challenges from composing the simulation framework are presented and discussed. The results shows the usefulness of the proposed simulation framework.

Place, publisher, year, edition, pages
Halmstad: Halmstad University Press, 2016. p. 35
Keywords
Cooperative ITS, Autonomous driving, Traffic mixture, Simulation, Adaptive cruise control, Platooning (electronic)
National Category
Computer Systems Other Electrical Engineering, Electronic Engineering, Information Engineering Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
20 Road: Traffic engineering, 23 Road: ITS och traffic
Identifiers
urn:nbn:se:vti:diva-12683 (URN)9789187045516 (ISBN)9789187045509 (ISBN)
Presentation
2016-09-27, Wigforssalen, Halmstad, 13:00 (English)
Opponent
Supervisors
Funder
Knowledge Foundation
Available from: 2018-02-09 Created: 2017-12-19 Last updated: 2018-05-17Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Aramrattana, MaytheewatJansson, JonasNåbo, Arne

Search in DiVA

By author/editor
Aramrattana, MaytheewatJansson, JonasNåbo, Arne
By organisation
Driving Simulation and VisualizationTraffic and road users
Computer SystemsOther Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 23 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf