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Dimensions of cooperative driving, ITS and automation
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle technology and simulation. Halmstad Universitet.
Halmstad Universitet.
Swedish National Road and Transport Research Institute, Traffic and road users.
Viktoria Swedish ICT,.
2015 (English)In: IEEE Intelligent Vehicles Symposium, Proceedings, 2015, p. 144-149Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

Wireless technology supporting vehicle-to-vehicle (V2V), and vehicle-to-infrastructure (V2I) communication, allow vehicles and infrastructures to exchange information, and cooperate. Cooperation among the actors in an intelligent transport system (ITS) can introduce several benefits, for instance, increase safety, comfort, efficiency.

Automation has also evolved in vehicle control and active safety functions. Combining cooperation and automation would enable more advanced functions such as automated highway merge and negotiating right-of-way in a cooperative intersection. However, the combination have influences on the structure of the overall transport systems as well as on its behaviour. In order to provide a common understanding of such systems, this paper presents an analysis of cooperative ITS (C-ITS) with regard to dimensions of cooperation. It also presents possible influence on driving behaviour and challenges in deployment and automation of C-ITS.

Place, publisher, year, edition, pages
2015. p. 144-149
Keywords [en]
Electronics, Software, Automation, Vehicle, Autonomous vehicle, Safety, Behaviour
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:vti:diva-9271DOI: 10.1109/IVS.2015.7225677Scopus ID: 2-s2.0-84951010000ISBN: 9781467372664 (print)OAI: oai:DiVA.org:vti-9271DiVA, id: diva2:909456
Conference
IEEE Intelligent Vehicles Symposium, IV 2015, 28 June 2015 through 1 July 2015
Available from: 2016-03-07 Created: 2016-03-02 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

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Aramrattana, MaytheewatJansson, Jonas

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