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  • 1.
    Aramrattana, Maytheewat
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. Högskolan i Halmstad.
    Modelling and Simulation for Evaluation of Cooperative Intelligent Transport System Functions2016Licentiate 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.

    List of papers
    1. Dimensions of cooperative driving, ITS and automation
    Open this publication in new window or tab >>Dimensions of cooperative driving, ITS and automation
    2015 (English)In: IEEE Intelligent Vehicles Symposium, Proceedings, 2015, p. 144-149Conference paper, Published paper (Refereed)
    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.

    Keywords
    Electronics, Software, Automation, Vehicle, Autonomous vehicle, Safety, Behaviour
    National Category
    Transport Systems and Logistics
    Research subject
    90 Road: Vehicles and vehicle technology, 914 Road: ITS och vehicle technology
    Identifiers
    urn:nbn:se:vti:diva-9271 (URN)10.1109/IVS.2015.7225677 (DOI)2-s2.0-84951010000 (Scopus ID)9781467372664 (ISBN)
    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: 2019-04-24Bibliographically approved
    2. Extended Driving Simulator for Evaluation of Cooperative Intelligent Transport Systems
    Open this publication in new window or tab >>Extended Driving Simulator for Evaluation of Cooperative Intelligent Transport Systems
    2016 (English)In: Proceedings of the 2016 annual ACM Conference on SIGSIM Principles of Advanced Discrete Simulation (SIGSIM-PADS '16), New York, NY, USA: ACM Digital Library, 2016, p. 255-258Conference paper, Published paper (Refereed)
    Abstract [en]

    Vehicles in cooperative intelligent transport systems (C-ITS) often need to interact with each other in order to achieve their goals, safe and efficient transport services. Since human drivers are still expected to be involved in C-ITS, driving simulators are appropriate tools for evaluation of the C-ITS functions. However, driving simulators often simplify the interactions or influences from the ego vehicle on the traffic. Moreover, they normally do not support vehicle-to-vehicle and vehicle-to-infrastructure (V2X) communication, which is the main enabler for C-ITS. Therefore, to increase the C-ITS evaluation capability, a solution on how to extend a driving simulator with traffic and network simulators to handle cooperative systems is presented as a result of this paper. Evaluation of the result using two use cases is presented. And, the observed limitations and challenges of the solution are reported and discussed.

    Place, publisher, year, edition, pages
    New York, NY, USA: ACM Digital Library, 2016
    Keywords
    Simulator (driving), Cooperative intelligent transport system, Technology, Development, Network (traffic)
    National Category
    Vehicle Engineering
    Research subject
    90 Road: Vehicles and vehicle technology, 914 Road: ITS och vehicle technology
    Identifiers
    urn:nbn:se:vti:diva-10736 (URN)10.1145/2901378.2901397 (DOI)978-1-4503-3742-7 (ISBN)
    Conference
    2016 annual ACM Conference on SIGSIM Principles of Advanced Discrete Simulation (SIGSIM-PADS '16)
    Projects
    VICTIgSAFER-VICTIg
    Funder
    Knowledge Foundation
    Available from: 2016-06-15 Created: 2016-06-15 Last updated: 2018-02-09Bibliographically approved
    3. Cooperative Driving Simulation
    Open this publication in new window or tab >>Cooperative Driving Simulation
    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.

    Keywords
    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:nbn:se:vti:diva-12688 (URN)
    Conference
    DSC 2016 Europe, Driving Simulation and Virtual Reality Conference and Exhibition, 7-9 sept, 2016, Paris, France
    Funder
    Knowledge Foundation
    Available from: 2016-09-12 Created: 2017-12-19 Last updated: 2018-02-09Bibliographically approved
  • 2.
    Aramrattana, Maytheewat
    et al.
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization.
    Andersson, Anders
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization.
    Reichenberg, Frida
    RISE.
    Mellegård, Niklas
    RISE.
    Burden, Håkan
    RISE.
    Testing cooperative intelligent transport systems in distributed simulators2019In: Transportation Research Part F: Traffic Psychology and Behaviour, ISSN 1369-8478, E-ISSN 1873-5517, Vol. 65, p. 206-216Article in journal (Refereed)
    Abstract [en]

    Simulation is often used as a technique to test and evaluate systems, as it provides a cost-efficient and safe alternative for testing and evaluation. A combination of simulators can be used to create high-fidelity and realistic test scenarios, especially when the systems-under-test are complex. An example of such complex systems is Cooperative Intelligent Transport Systems (C-ITS), which include many actors that are connected to each other via wireless communication in order to interact and cooperate. The majority of the actors in the systems are vehicles equipped with wireless communication modules, which can range from fully autonomous vehicles to manually driven vehicles. In order to test and evaluate C-ITS, this paper presents a distributed simulation framework that consists of (a) a moving base driving simulator; (b) a real-time vehicle simulator; and (c) network and traffic simulators. We present our approach for connecting and co-simulating the simulators. We report on limitation and performance that this simulation framework can achieve. Lastly, we discuss potential benefits and feasibility of using the simulation framework for testing of C-ITS.

  • 3.
    Aramrattana, Maytheewat
    et al.
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. Högskolan i Halmstad.
    Detournay, Jerome
    Högskolan i Halmstad.
    Englund, Cristofer
    Högskolan i Halmstad.
    Frimodig, Viktor
    Högskolan i Halmstad.
    Jansson, Oscar Uddman
    Högskolan i Halmstad.
    Larsson, Tony
    Högskolan i Halmstad.
    Mostowski, Wojciech
    Högskolan i Halmstad.
    Rodriguez, Victor Diez
    Högskolan i Halmstad.
    Rosenstatter, Thomas
    Högskolan i Halmstad.
    Shahanoor, Golam
    Högskolan i Halmstad.
    Team Halmstad Approach to Cooperative Driving in the Grand Cooperative Driving Challenge 20162018In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 19, no 4, p. 1248-1261Article in journal (Refereed)
    Abstract [en]

    This paper is an experience report of team Halmstad from the participation in a competition organised by the i-GAME project, the Grand Cooperative Driving Challenge 2016. The competition was held in Helmond, The Netherlands, during the last weekend of May 2016. We give an overview of our car's control and communication system that was developed for the competition following the requirements and specifications of the i-GAME project. In particular, we describe our implementation of cooperative adaptive cruise control, our solution to the communication and logging requirements, as well as the high level decision making support. For the actual competition we did not manage to completely reach all of the goals set out by the organizers as well as ourselves. However, this did not prevent us from outperforming the competition. Moreover, the competition allowed us to collect data for further evaluation of our solutions to cooperative driving. Thus, we discuss what we believe were the strong points of our system, and discuss postcompetition evaluation of the developments that were not fully integrated into our system during competition time.

  • 4.
    Aramrattana, Maytheewat
    et al.
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. Högskolan i Halmstad.
    Englund, Cristofer
    RISE Viktoria & Högskolan i Halmstad, CAISR Centrum för tillämpade intelligenta system (IS-lab).
    Jansson, Jonas
    Swedish National Road and Transport Research Institute, Traffic and road users.
    Larsson, Tony
    Högskolan i Halmstad.
    Nåbo, Arne
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization.
    Safety Analysis of Cooperative Adaptive Cruise Control in Vehicle Cut-in Situations2017In: Proceedings of 2017 4th International Symposium on Future Active Safety Technology towards Zero-Traffic-Accidents (FAST-zero), Society of Automotive Engineers of Japan , 2017, article id 20174621Conference paper (Refereed)
    Abstract [en]

    Cooperative adaptive cruise control (CACC) is a cooperative intelligent transport systems (C-ITS) function, which especially when used in platooning applications, possess many expected benefits including efficient road space utilization and reduced fuel consumption. Cut-in manoeuvres in platoons can potentially reduce those benefits, and are not desired from a safety point of view. Unfortunately, in realistic traffic scenarios, cut-in manoeuvres can be expected, especially from non-connected vehicles. In this paper two different controllers for platooning are explored, aiming at maintaining the safety of the platoon while a vehicle is cutting in from the adjacent lane. A realistic scenario, where a human driver performs the cut-in manoeuvre is used to demonstrate the effectiveness of the controllers. Safety analysis of CACC controllers using time to collision (TTC) under such situation is presented. The analysis using TTC indicate that, although potential risks are always high in CACC applications such as platooning due to the small inter-vehicular distances, dangerous TTC (TTC < 6 seconds) is not frequent. Future research directions are also discussed along with the results.

  • 5.
    Aramrattana, Maytheewat
    et al.
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. Högskolan i Halmstad.
    Larsson, Tony
    Högskolan i Halmstad.
    Englund, Cristofer
    RISE Viktoria & Högskolan i Halmstad, CAISR Centrum för tillämpade intelligenta system (IS-lab).
    Jansson, Jonas
    Swedish National Road and Transport Research Institute, Traffic and road users.
    Nåbo, Arne
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization.
    Simulation of Cut-In by Manually Driven Vehicles in Platooning Scenarios2017In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017, p. 315-320Conference paper (Refereed)
    Abstract [en]

    In the near future, Cooperative Intelligent Transport System (C-ITS) applications are expected to be deployed. To support this, simulation is often used to design and evaluate the applications during the early development phases. Simulations of C-ITS scenarios often assume a fleet of homogeneous vehicles within the transportation system. In contrast, once C-ITS is deployed, the traffic scenarios will consist of a mixture of connected and non-connected vehicles, which, in addition, can be driven manually or automatically. Such mixed cases are rarely analysed, especially those where manually driven vehicles are involved. Therefore, this paper presents a C-ITS simulation framework, which incorporates a manually driven car through a driving simulator interacting with a traffic simulator, and a communication simulator, which together enable modelling and analysis of C-ITS applications and scenarios. Furthermore, example usages in the scenarios, where a manually driven vehicle cut-in to a platoon of Cooperative Adaptive Cruise Control (CACC) equipped vehicles are presented.

  • 6.
    Aramrattana, Maytheewat
    et al.
    Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle technology and simulation. Halmstad Universitet.
    Larsson, Tony
    Halmstad Universitet.
    Jansson, Jonas
    Swedish National Road and Transport Research Institute, Traffic and road users.
    Englund, Cristofer
    Viktoria Swedish ICT,.
    Dimensions of cooperative driving, ITS and automation2015In: IEEE Intelligent Vehicles Symposium, Proceedings, 2015, p. 144-149Conference paper (Refereed)
    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.

  • 7.
    Aramrattana, Maytheewat
    et al.
    Swedish National Road and Transport Research Institute, Traffic and road users, Körsimulering och visualisering, SIM. Högskolan i Halmstad.
    Larsson, Tony
    Högskolan i Halmstad.
    Jansson, Jonas
    Swedish National Road and Transport Research Institute, Traffic and road users.
    Nåbo, Arne
    Swedish National Road and Transport Research Institute, Traffic and road users, Körsimulering och visualisering, SIM.
    A simulation framework for cooperative intelligent transport systems testing and evaluation2017In: Transportation Research Part F: Traffic Psychology and Behaviour, ISSN 1369-8478, E-ISSN 1873-5517Article in journal (Refereed)
    Abstract [en]

    Connected and automated driving in the context of cooperative intelligent transport systems (C-ITS) is an emerging area in transport systems research. Interaction and cooperation between actors in transport systems are now enabled by the connectivity by means of vehicle-to-vehicle and vehicle-to-infrastructure (V2X) communication. To ensure the goals of C-ITS, which are safer and more efficient transport systems, testing and evaluation are required before deployment of C-ITS applications. Therefore, this paper presents a simulation framework-consisting of driving-, traffic-, and network-simulators-for testing and evaluation of C-ITS applications. Examples of cooperative adaptive cruise control (CACC) applications are presented, and are used as test cases for the simulation framework as well as to elaborate on potential use cases of it. Challenges from combining the simulators into one framework, and limitations are reported and discussed. Finally, the paper concludes with future development directions, and applications of the simulation framework in testing and evaluation of C-ITS.

  • 8.
    Aramrattana, Maytheewat
    et al.
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. Högskolan i Halmstad.
    Larsson, Tony
    Högskolan i Halmstad.
    Jansson, Jonas
    Swedish National Road and Transport Research Institute, Traffic and road users.
    Nåbo, Arne
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization.
    A simulation framework for cooperative intelligent transport systems testing and evaluation2017In: Transportation Research Part F: Traffic Psychology and Behaviour, ISSN 1369-8478, E-ISSN 1873-5517Article in journal (Refereed)
    Abstract [en]

    Connected and automated driving in the context of cooperative intelligent transport systems (C-ITS) is an emerging area in transport systems research. Interaction and cooperation between actors in transport systems are now enabled by the connectivity by means of vehicle-to-vehicle and vehicle-to-infrastructure (V2X) communication. To ensure the goals of C-ITS, which are safer and more efficient transport systems, testing and evaluation are required before deployment of C-ITS applications. Therefore, this paper presents a simulation framework—consisting of driving-, traffic-, and network-simulators—for testing and evaluation of C-ITS applications. Examples of cooperative adaptive cruise control (CACC) applications are presented, and are used as test cases for the simulation framework as well as to elaborate on potential use cases of it. Challenges from combining the simulators into one framework, and limitations are reported and discussed. Finally, the paper concludes with future development directions, and applications of the simulation framework in testing and evaluation of C-ITS. © 2017 Elsevier Ltd. All rights reserved.

  • 9.
    Aramrattana, Maytheewat
    et al.
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. Högskolan i Halmstad.
    Larsson, Tony
    Högskolan i Halmstad.
    Jansson, Jonas
    Swedish National Road and Transport Research Institute, Traffic and road users.
    Nåbo, Arne
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization.
    Cooperative Driving Simulation2016In: Proceedings of the Driving Simulation Conference 2016, 2016, p. 123-132Conference 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.

  • 10.
    Aramrattana, Maytheewat
    et al.
    Swedish National Road and Transport Research Institute, Traffic and road users, Körsimulering och visualisering, SIM. Halmstad University.
    Larsson, Tony
    Halmstad University.
    Jansson, Jonas
    Swedish National Road and Transport Research Institute, Traffic and road users.
    Nåbo, Arne
    Swedish National Road and Transport Research Institute, Traffic and road users, Körsimulering och visualisering, SIM.
    Extended Driving Simulator for Evaluation of Cooperative Intelligent Transport Systems2016In: Proceedings of the 2016 annual ACM Conference on SIGSIM Principles of Advanced Discrete Simulation (SIGSIM-PADS '16), New York, NY, USA: ACM Digital Library, 2016, p. 255-258Conference paper (Refereed)
    Abstract [en]

    Vehicles in cooperative intelligent transport systems (C-ITS) often need to interact with each other in order to achieve their goals, safe and efficient transport services. Since human drivers are still expected to be involved in C-ITS, driving simulators are appropriate tools for evaluation of the C-ITS functions. However, driving simulators often simplify the interactions or influences from the ego vehicle on the traffic. Moreover, they normally do not support vehicle-to-vehicle and vehicle-to-infrastructure (V2X) communication, which is the main enabler for C-ITS. Therefore, to increase the C-ITS evaluation capability, a solution on how to extend a driving simulator with traffic and network simulators to handle cooperative systems is presented as a result of this paper. Evaluation of the result using two use cases is presented. And, the observed limitations and challenges of the solution are reported and discussed.

  • 11.
    Aramrattana, Maytheewat
    et al.
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. Högskolan i Halmstad.
    Patel, Raj Haresh
    EURECOM.
    Englund, Cristofer
    Högskolan i Halmstad.
    Härri, Jerome
    EURECOM.
    Jansson, Jonas
    Swedish National Road and Transport Research Institute, Traffic and road users. EURECOM.
    Bonnet, Christian
    Evaluating Model Mismatch Impacting CACC Controllers in Mixed2018In: Proceedings IEEE Intelligent Vehicles Symposium, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 1867-1872Conference paper (Refereed)
    Abstract [en]

    At early market penetration, automated vehicles will share the road with legacy vehicles. For a safe transportation system, automated vehicle controllers therefore need to estimate the behavior of the legacy vehicles. However, mismatches between the estimated and real human behaviors can lead to inefficient control inputs, and even collisions in the worst case. In this paper, we propose a framework for evaluating the impact of model mismatch by interfacing a controller under test with a driving simulator. As a proof- of-concept, an algorithm based on Model Predictive Control (MPC) is evaluated in a braking scenario. We show how model mismatch between estimated and real human behavior can lead to a decrease in avoided collisions by almost 46%, and an increase in discomfort by almost 91%. Model mismatch is therefore non-negligible and the proposed framework is a unique method to evaluate them.

  • 12.
    Pelliccione, Patrizio
    et al.
    Chalmers Tekniska Högskola.
    Kobetski, Avenir
    SICS.
    Larsson, Tony
    Högskolan i Halmstad.
    Aramrattana, Maytheewat
    Swedish National Road and Transport Research Institute, Traffic and road users, Driving Simulation and Visualization. Högskolan i Halmstad.
    Aderum, Tobias
    Autoliv Research.
    Ågren, S. Magnus
    Chalmers Tekniska Högskola.
    Jonsson, Göran
    Volvo Cars.
    Heldal, Rogart
    Chalmers Tekniska Högskola.
    Bergenhem, Carl
    Qamcom Research & Technology AB.
    Thorsén, Anders
    RISE Research Institutes of Sweden.
    Architecting cars as constituents of a system of systems2016In: ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), 2016, p. 1-7Conference paper (Refereed)
    Abstract [en]

    Future transportation systems will be a heterogeneous mix of items with varying connectivity and interoperability. A mix of new technologies and legacy systems will co-exist to realize a variety of scenarios involving not only connected cars but also road infrastructures, pedestrians, cyclists, etc. Future transportation systems can be seen as a System of Systems (SoS), where each constituent system - one of the units that compose an SoS - can act as a standalone system, but the cooperation among the constituent systems enables new emerging and promising scenarios. In this paper we investigate how to architect cars so that they can be constituents of future transportation systems. This work is realized in the context of two Swedish projects coordinated by Volvo Cars and involving some universities and research centers in Sweden and many suppliers of the OEM, including Autoliv, Arccore, Combitech, Cybercom, Knowit, Prevas, ÅF-Technology, Semcom, and Qamcom.

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