A reference architecture for cooperative driving

Behere, Sagar; Törngren, Martin; Chen, DeJiu

doi:10.1016/j.sysarc.2013.05.014

Cited by 35 publications

(26 citation statements)

References 40 publications

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“…Pääkkönen et al (2015) proposed a RA for big data systems, based on the analysis of architectures previously implemented. Behere, et al (2013) announced a RA for cooperative driving on modern vehicles with a minimally invasive model. Finally, Nguyen et al (2011) developed a RA based on the "4+1" View Model, to define agent-based systems.…”

Section: Towards a Reference Architecture For Advanced Planning Systementioning

confidence: 99%

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Dediź

Stanier

2016

Proceedings of the 18th International Conference on Enterprise Information Systems

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ICEIS 2016 received 257 paper submissions from 42 countries in all continents, which makes it one of the largest conferences in the World in the area of Information Systems, thus demonstrating the success and global dimension of this conference. From these, 42 papers were selected for publication and presentation at the Conference as full papers. These numbers, leading to a full-paper acceptance ratio of 16%, show the intention of preserving a high quality forum for this conference, a quality that we intend to maintain in the future, for the next editions of this conference.The high number and high quality of the received papers imposed difficult choices in the selection process. To evaluate each submission, a double blind paper review was performed by the Program Committee, whose members are highly qualified researchers in ICEIS topic areas.All presented papers will be available at the SCITEPRESS Digital Library and will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.Additionally, a short list of presented papers will be selected to be expanded into a forthcoming book of ICEIS 2016 Selected Papers to be published by Springer in the LNBIP Series.The technical program of the conference included a panel and 4 invited talks delivered by internationally distinguished speakers, namely: Claudia Loebbecke (University of Cologne, Germany), Sergio Gusmeroli (TXT e-solutions SPA, Italy), Wil Van Der Aalst (Technische Universiteit Eindhoven, Netherlands) and Jan Vom Brocke (University of Liechtenstein, Liechtenstein). Their participation positively contributes to reinforce the overall quality of the Conference and to provide a deeper understanding of the fields addressed by the conference.Moreover, ICEIS 2016 had a Doctoral Consortium on Enterprise Information Systems and 1 tutorial. We are thankful to the Conference Co-chairs (Olivier Camp and José Cordeiro) and Program Co-chairs (Slimane Hammoudi, Leszek Maciaszek and Michele M. Missikoff) for their dedication and hard work in organizing these events.We sincerely thank all the authors for their submissions and participation in ICEIS 2016. Furthermore, we would like to thank all the members of the program committee and reviewers, who helped us with their expertise, dedication and time. We would also like to thank the invited speakers for their excellent contribution in sharing their knowledge and vision and the workshop/special session chairs whose collaboration with ICEIS 2015 was much appreciated. Finally, we gratefully acknowledge the professional support of the ICEIS 2016 team for all organizational processes. XIIIWe hope that all colleagues find this a fruitful and inspiring conference. We hope to contribute to the development of the Enterprise Information Systems community and look forward to having additional research results presented at the next edition of ICEIS, details of which are available at http://www.iceis.org. Slimane Hammoudi University of Cologne, GermanyAbstract:...

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Section: Towards a Reference Architecture For Advanced Planning Systementioning

confidence: 99%

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Dediź

Stanier

2016

Proceedings of the 18th International Conference on Enterprise Information Systems

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“…A cooperative driving architecture was presented to enable direct vehicles to adapt their motion to surrounding traffic situation by utilizing information obtained from other vehicles and infrastructure in the vicinity [19]. Considering driver experience, a cooperative controller for lane-changing maneuver was proposed to perform cooperative adaptive cruise control by communicating with several involved vehicles [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Structured trajectory planning of collision-free lane change using the vehicle-driver integration data

Zhang

Yan

2016

Sci. China Technol. Sci.

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In this paper, the structured trajectory planning of lane change in collision-free road environment is studied and validated using the vehicle-driver integration data, and a new trajectory planning model for lane change is proposed based on linear offset and sine function to balance driver comfort and vehicle dynamics. The trajectory curvature of the proposed model is continuous without mutation, and the zero-based curvature at the starting and end points during lane change assures the motion direction of end points in parallel with the lane line. The field experiment are designed to collect the vehicle-driver integration data, such as steering angle, brake pedal angel and accelerator pedal angel. The correction Correlation analysis of lane-changing maneuver and influencing variables is conducted to obtain the significant variables that can be used to calibrate and test the proposed model. The results demonstrate that vehicle velocity and Y-axis acceleration have significant effects on the lane-changing maneuver, so that the model recalibrated by the samples of different velocity ranges and Y-axis accelerations has better fitted performance compared with the model calibrated by the sample trajectory. In addition, the proposed model presents a decreasing tendency of the lane change trajectory fitted MAE with the increase of time span of calibrating samples at the starting stage. intelligent vehicle, lane change, trajectory planning, vehicle-driver integration Citation: Wang J F, Zhang Q, Zhang Z Q, et al. Structured trajectory planning of collision-free lane change using the vehicle-driver integration data. Sci China Tech Sci, 2016, 59: 825−831,

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“…where spatial derivative of lethargy is chosen as the control signal, i.e.,ũ i (p) = z i (p), and the matrices A and B are exactly as in (1). Note that in this formulation the travel time of each vehicle i becomes a state in the system.…”

Section: ) Lethargymentioning

confidence: 99%

“…The development of Intelligent Transportation Systems (ITS) has enabled safer, smarter, and greener solutions by leveraging advances in information technology to alleviate major problems in the current road traffic system [1]. Recent research has been focusing, among others, in prevention of accidents, reduction of greenhouse gas emissions and efficiency in terms of energy and infrastructure utilization.…”

Section: Introductionmentioning

confidence: 99%

Convex modeling of conflict resolution at traffic intersections

Murgovski

Campos

Sjöberg

2015

2015 54th IEEE Conference on Decision and Control (CDC)

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Abstract-We study the problem of optimally controlling autonomous vehicles to safely cross an intersection. The problem is approached by solving an optimal control subproblem for all permutations of crossing sequences. For a chosen crossing sequence, we show that the subproblem of optimal longitudinal vehicle control, subject to collision avoidance constraints, can be formulated as a convex program. The proposed method transforms the problem from the original time domain to a space domain, and introduces a change of optimization variables by replacing vehicles' speed with its inverse. A case study is provided showing the effectiveness of the proposed method.

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A reference architecture for cooperative driving

Cited by 35 publications

References 40 publications

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Structured trajectory planning of collision-free lane change using the vehicle-driver integration data

Convex modeling of conflict resolution at traffic intersections

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