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Aramrattana, Maytheewat
Publications (10 of 12) Show all publications
Aramrattana, M., Andersson, A., Reichenberg, F., Mellegård, N. & Burden, H. (2019). Testing cooperative intelligent transport systems in distributed simulators. Transportation Research Part F: Traffic Psychology and Behaviour, 65, 206-216
Open this publication in new window or tab >>Testing cooperative intelligent transport systems in distributed simulators
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2019 (English)In: Transportation Research Part F: Traffic Psychology and Behaviour, ISSN 1369-8478, E-ISSN 1873-5517, Vol. 65, p. 206-216Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier Ltd, 2019
National Category
Vehicle Engineering
Identifiers
urn:nbn:se:vti:diva-14084 (URN)10.1016/j.trf.2019.07.020 (DOI)2-s2.0-85070355325 (Scopus ID)
Available from: 2019-08-20 Created: 2019-08-20 Last updated: 2019-08-20Bibliographically approved
Aramrattana, M., Patel, R. H., Englund, C., Härri, J., Jansson, J. & Bonnet, C. (2018). Evaluating Model Mismatch Impacting CACC Controllers in Mixed. In: Proceedings IEEE Intelligent Vehicles Symposium: . Paper presented at 2018 IEEE Intelligent Vehicles Symposium, IV 2018, 26 September 2018 through 30 September 2018 (pp. 1867-1872). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Evaluating Model Mismatch Impacting CACC Controllers in Mixed
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2018 (English)In: Proceedings IEEE Intelligent Vehicles Symposium, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 1867-1872Conference paper, Published 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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Keywords
Autonomous vehicle, Driver, Behaviour, Mathematical model, Estimation, Accident prevention, Braking, Method, Evaluation (assessment)
National Category
Vehicle Engineering
Research subject
90 Road: Vehicles and vehicle technology, 914 Road: ITS och vehicle technology; 80 Road: Traffic safety and accidents, 841 Road: Road user behaviour
Identifiers
urn:nbn:se:vti:diva-13370 (URN)10.1109/IVS.2018.8500479 (DOI)2-s2.0-85056772722 (Scopus ID)9781538644522 (ISBN)
Conference
2018 IEEE Intelligent Vehicles Symposium, IV 2018, 26 September 2018 through 30 September 2018
Available from: 2019-01-31 Created: 2019-01-31 Last updated: 2019-03-15Bibliographically approved
Aramrattana, M., Detournay, J., Englund, C., Frimodig, V., Jansson, O. U., Larsson, T., . . . Shahanoor, G. (2018). Team Halmstad Approach to Cooperative Driving in the Grand Cooperative Driving Challenge 2016. IEEE transactions on intelligent transportation systems (Print), 19(4), 1248-1261
Open this publication in new window or tab >>Team Halmstad Approach to Cooperative Driving in the Grand Cooperative Driving Challenge 2016
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2018 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 19, no 4, p. 1248-1261Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018
Keywords
Cooperative ITS, Adaptive cruise control, Communication, Data acquisition, Decision process, Competition
National Category
Embedded Systems
Research subject
90 Road: Vehicles and vehicle technology, 914 Road: ITS och vehicle technology
Identifiers
urn:nbn:se:vti:diva-13045 (URN)10.1109/TITS.2017.2752359 (DOI)000429017300023 ()2-s2.0-85041535321 (Scopus ID)
Available from: 2018-06-20 Created: 2018-06-20 Last updated: 2018-08-13Bibliographically approved
Aramrattana, M., Larsson, T., Jansson, J. & Nåbo, A. (2017). A simulation framework for cooperative intelligent transport systems testing and evaluation. Transportation Research Part F: Traffic Psychology and Behaviour
Open this publication in new window or tab >>A simulation framework for cooperative intelligent transport systems testing and evaluation
2017 (English)In: Transportation Research Part F: Traffic Psychology and Behaviour, ISSN 1369-8478, E-ISSN 1873-5517Article in journal (Refereed) In press
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.

Place, publisher, year, edition, pages
Elsevier Ltd, 2017
Keywords
Simulator (driving), Automation, Driving, Simulation, Traffic, Transport network, Test
National Category
Vehicle Engineering
Research subject
90 Road: Vehicles and vehicle technology, 914 Road: ITS och vehicle technology
Identifiers
urn:nbn:se:vti:diva-12428 (URN)2-s2.0-85028624553 (Scopus ID)
Available from: 2017-09-27 Created: 2017-09-27 Last updated: 2017-09-29Bibliographically approved
Aramrattana, M., Larsson, T., Jansson, J. & Nåbo, A. (2017). A simulation framework for cooperative intelligent transport systems testing and evaluation. Transportation Research Part F: Traffic Psychology and Behaviour
Open this publication in new window or tab >>A simulation framework for cooperative intelligent transport systems testing and evaluation
2017 (English)In: Transportation Research Part F: Traffic Psychology and Behaviour, ISSN 1369-8478, E-ISSN 1873-5517Article in journal (Refereed) In press
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.

Place, publisher, year, edition, pages
Kidlington: Pergamon Press, 2017
Keywords
Intelligent transport system, Platooning (electronic), Evaluation (assessment), Simulator (driving), Simulation, Traffic, Network (traffic)
National Category
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-12687 (URN)10.1016/j.trf.2017.08.004 (DOI)2-s2.0-85028624553 (Scopus ID)
Projects
Vehicle ICT Innovation Methodology (VICTIg)
Funder
Knowledge Foundation
Available from: 2017-09-04 Created: 2017-12-19 Last updated: 2018-01-11Bibliographically approved
Aramrattana, M., Englund, C., Jansson, J., Larsson, T. & Nåbo, A. (2017). Safety Analysis of Cooperative Adaptive Cruise Control in Vehicle Cut-in Situations. In: Proceedings of 2017 4th International Symposium on Future Active Safety Technology towards Zero-Traffic-Accidents (FAST-zero): . Paper presented at 4th International Symposium on Future Active Safety Technology towards Zero-Traffic-Accidents (FAST-Zero’17), Nara, Japan, 18-22 September, 2017. Society of Automotive Engineers of Japan, Article ID 20174621.
Open this publication in new window or tab >>Safety Analysis of Cooperative Adaptive Cruise Control in Vehicle Cut-in Situations
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2017 (English)In: 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, Published 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.

Place, publisher, year, edition, pages
Society of Automotive Engineers of Japan, 2017
Keywords
Cooperative ITS, Autonomous driving, Lane changing, Safety, Traffic mixture, Simulation, Adaptive cruise control, Platooning (electronic)
National Category
Computer Systems
Research subject
20 Road: Traffic engineering, 23 Road: ITS och traffic
Identifiers
urn:nbn:se:vti:diva-12684 (URN)
Conference
4th International Symposium on Future Active Safety Technology towards Zero-Traffic-Accidents (FAST-Zero’17), Nara, Japan, 18-22 September, 2017
Funder
Knowledge Foundation
Available from: 2017-12-19 Created: 2017-12-19 Last updated: 2018-05-17Bibliographically approved
Aramrattana, M., Larsson, T., Englund, C., Jansson, J. & Nåbo, A. (2017). Simulation of Cut-In by Manually Driven Vehicles in Platooning Scenarios. In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC): . Paper presented at 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Kanagawa, Japan, 16-19 October, 2017 (pp. 315-320).
Open this publication in new window or tab >>Simulation of Cut-In by Manually Driven Vehicles in Platooning Scenarios
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2017 (English)In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017, p. 315-320Conference paper, Published 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.

Keywords
Cooperative ITS, Autonomous driving, Traffic mixture, Simulation, Adaptive cruise control, Platooning (electronic)
National Category
Transport Systems and Logistics Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
20 Road: Traffic engineering, 23 Road: ITS och traffic
Identifiers
urn:nbn:se:vti:diva-12685 (URN)10.1109/ITSC.2017.8317806 (DOI)978-1-5386-1525-6 (ISBN)
Conference
2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Kanagawa, Japan, 16-19 October, 2017
Funder
Knowledge Foundation
Available from: 2017-12-19 Created: 2017-12-19 Last updated: 2018-07-24Bibliographically approved
Pelliccione, P., Kobetski, A., Larsson, T., Aramrattana, M., Aderum, T., Ågren, S. M., . . . Thorsén, A. (2016). Architecting cars as constituents of a system of systems. In: ACM International Conference Proceeding Series: . Paper presented at 2016 International Colloquium on Software-Intensive Systems-of-Systems at 10th European Conference on Software Architecture, SiSoS@ECSA 2016, 29 November 2016 (pp. 1-7). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Architecting cars as constituents of a system of systems
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2016 (English)In: ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), 2016, p. 1-7Conference paper, Published 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.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2016
Keywords
Future transport mode, Car, Design (overall design), Cooperative ITS
National Category
Information Systems, Social aspects
Research subject
90 Road: Vehicles and vehicle technology, 914 Road: ITS och vehicle technology
Identifiers
urn:nbn:se:vti:diva-13095 (URN)10.1145/3175731.3175733 (DOI)2-s2.0-85046731120 (Scopus ID)9781450363990 (ISBN)
Conference
2016 International Colloquium on Software-Intensive Systems-of-Systems at 10th European Conference on Software Architecture, SiSoS@ECSA 2016, 29 November 2016
Available from: 2018-07-25 Created: 2018-07-25 Last updated: 2018-08-13Bibliographically approved
Aramrattana, M., Larsson, T., Jansson, J. & Nåbo, A. (2016). Cooperative Driving Simulation. In: Proceedings of the Driving Simulation Conference 2016: . Paper presented at DSC 2016 Europe, Driving Simulation and Virtual Reality Conference and Exhibition, 7-9 sept, 2016, Paris, France (pp. 123-132).
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
Aramrattana, M., Larsson, T., Jansson, J. & Nåbo, A. (2016). Extended Driving Simulator for Evaluation of Cooperative Intelligent Transport Systems. In: Proceedings of the 2016 annual ACM Conference on SIGSIM Principles of Advanced Discrete Simulation (SIGSIM-PADS '16): . Paper presented at 2016 annual ACM Conference on SIGSIM Principles of Advanced Discrete Simulation (SIGSIM-PADS '16) (pp. 255-258). New York, NY, USA: ACM Digital Library
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
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