Safe Vehicle Trajectory Planning in an Autonomous Decision Support Framework for Emergency Situations

For a decade, researchers have focused on the development and deployment of road automated mobility. In the development of autonomous driving embedded systems, several stages are required. The first one deals with the perception layers. The second one is dedicated to the risk assessment, the decision and strategy layers and the optimal trajectory planning. The last stage addresses the vehicle control/command. This paper proposes an efficient solution to the second stage and improves a virtual Cooperative Pilot (Co-Pilot) already proposed in 2012. This paper thus introduces a trajectory planning algorithm for automated vehicles (AV), specifically designed for emergency situations and based on the Autonomous Decision-Support Framework (ADSF) of the EU project Trustonomy. This algorithm is an extended version of Elastic Band (EB) with no fixed final position. A set of trajectory nodes is iteratively deduced from obstacles and constraints, thus providing flexibility, fast computation, and physical realism. After introducing the project framework for risk management and the general concept of ADSF, the emergency algorithm is presented and tested under Matlab software. Finally, the Decision-Support framework is implemented under RTMaps software and demonstrated within Pro-SiVIC, a realistic 3D simulation environment. Both the previous virtual Co-Pilot and the new emergency algorithm are combined and used in a near-accident situation and shown in different risky scenarios.

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A decision support framework for autonomous driving in normal and emergencysituations

10.23919/aeitautomotive52815.2021.9662696 ◽

2021 ◽

Author(s):

Wei Xu ◽

Remi Sainct ◽

Dominique Gruyer ◽

Olivier Orfila

Keyword(s):

Decision Support ◽

Autonomous Driving ◽

Decision Support Framework

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A decision support framework for prediction of avian influenza

Scientific Reports ◽

10.1038/s41598-020-75889-7 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Samira Yousefinaghani ◽

Rozita A. Dara ◽

Zvonimir Poljak ◽

Shayan Sharif

Keyword(s):

Decision Support ◽

Avian Influenza ◽

Knowledge Base ◽

Situational Awareness ◽

Decision Makers ◽

Average Sensitivity ◽

Reliable Prediction ◽

Emergency Situations ◽

Decision Support Framework ◽

Global Spread

Abstract For years, avian influenza has influenced economies and human health around the world. The emergence and spread of avian influenza virus have been uncertain and sudden. The virus is likely to spread through several pathways such as poultry transportation and wild bird migration. The complicated and global spread of avian influenza calls for surveillance tools for timely and reliable prediction of disease events. These tools can increase situational awareness and lead to faster reaction to events. Here, we aimed to design and evaluate a decision support framework that aids decision makers by answering their questions regarding the future risk of events at various geographical scales. Risk patterns were driven from pre-built components and combined in a knowledge base. Subsequently, questions were answered by direct queries on the knowledge base or through a built-in algorithm. The evaluation of the system in detecting events resulted in average sensitivity and specificity of 69.70% and 85.50%, respectively. The presented framework here can support health care authorities by providing them with an opportunity for early control of emergency situations.

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Developing Dynamic Reference Models and a Decision Support Framework for Southeastern Ecosystems: An Integrated Approach

10.21236/ada626412 ◽

2015 ◽

Author(s):

L. K. Kirkman ◽

John K. Hiers A. ◽

L. L. Smith ◽

L. M. Conner ◽

S. L. Zeigler ◽

...

Keyword(s):

Decision Support ◽

Integrated Approach ◽

Reference Models ◽

Decision Support Framework

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The evolution of life cycle assessment in European policies over three decades

The International Journal of Life Cycle Assessment ◽

10.1007/s11367-021-01893-2 ◽

2021 ◽

Author(s):

Serenella Sala ◽

Andrea Martino Amadei ◽

Antoine Beylot ◽

Fulvio Ardente

Keyword(s):

Life Cycle Assessment ◽

Life Cycle ◽

Decision Support ◽

General Concept ◽

Life Cycle Thinking ◽

Environmental Footprint ◽

Science And Policy ◽

Policy Domain ◽

Trade Offs ◽

The Eu

Abstract Purpose Life cycle thinking (LCT) and life cycle assessment (LCA) are increasingly considered pivotal concept and method for supporting sustainable transitions. LCA plays a relevant role in decision support, for the ambition of a holistic coverage of environmental dimensions and for the identification of hotspots, possible trade-offs, and burden shifting among life cycle stages or impact categories. These features are also relevant when the decision support is needed in policy domain. With a focus on EU policies, the present study explores the evolution and implementation of life cycle concepts and approaches over three decades. Methods Adopting an historical perspective, a review of current European Union (EU) legal acts and communications explicitly mentioning LCT, LCA, life cycle costing (LCC), and environmental footprint (the European Product and Organisation Environmental Footprint PEF/OEF) is performed, considering the timeframe from 1990 to 2020. The documents are categorised by year and according to their types (e.g. regulations, directives, communications) and based on the covered sectors (e.g. waste, energy, buildings). Documents for which life cycle concepts and approaches had a crucial role are identified, and a shortlist of these legal acts and communications is derived. Results and discussion Over the years, LCT and life cycle approaches have been increasingly mentioned in policy. From the Ecolabel Regulation of 1992, to the Green Deal in 2019, life cycle considerations are of particular interest in the EU. The present work analysed a total of 159 policies and 167 communications. While in some sectors (e.g. products, vehicles, and waste) life cycle concepts and approaches have been adopted with higher levels of prescriptiveness, implementation in other sectors (e.g. food and agriculture) is only at a preliminary stage. Moreover, life cycle (especially LCT) is frequently addressed and cited only as a general concept and in a rather generic manner. Additionally, more stringent and rigorous methods (LCA, PEF/OEF) are commonly cited only in view of future policy developments, even if a more mature interest in lifecycle is evident in recent policies. Conclusion The EU has been a frontrunner in the implementation of LCT/LCA in policies. However, despite a growing trend in this implementation, the development of new stringent and mandatory requirements related to life cycle is still relatively limited. In fact, there are still issues to be solved in the interface between science and policy making (such as verification and market surveillance) to ensure a wider implementation of LCT and LCA.

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Quantifying Proximity, Confinement, and Interventions in Disease Outbreaks: A Decision Support Framework for Air-Transported Pathogens

Environmental Science & Technology ◽

10.1021/acs.est.0c07721 ◽

2021 ◽

Vol 55 (5) ◽

pp. 2890-2898 ◽

Cited By ~ 1

Author(s):

Tami C. Bond ◽

Angela Bosco-Lauth ◽

Delphine K. Farmer ◽

Paul W. Francisco ◽

Jeffrey R. Pierce ◽

...

Keyword(s):

Decision Support ◽

Disease Outbreaks ◽

Decision Support Framework

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Decision support framework for the regional facility location and development planning problem

Journal of Business Economics ◽

10.1007/s11573-021-01050-z ◽

2021 ◽

Author(s):

David Kik ◽

Matthias Gerhard Wichmann ◽

Thomas Stefan Spengler

Keyword(s):

Decision Support ◽

Facility Location ◽

Future Orientation ◽

Real Life ◽

Development Planning ◽

Major Influence ◽

Location Decisions ◽

Planning Problem ◽

Location Factor ◽

Decision Support Framework

AbstractLocation choice is a crucial planning task with major influence on a company’s future orientation and competitiveness. It is quite complex, since multiple location factors are usually of decision-relevance, incomparable, and sometimes conflictual. Further, ongoing urbanization is associated with locational dynamics posing major challenges for the regional location management of companies and municipalities. For example, respecting urban space as location factor, a scarcity growing over time leads to different assessment and requirements on a company’s behalf. For both companies and municipalities, there is a need for location development which implies an active change of location factor characteristics. Accordingly, considering locational dynamics is vital, as they may be decisive in the location decision-making. Although certain dynamics are considered within conventional Facility Location Problem (FLP) approaches, a systematic consideration of active location development is missing so far. Consequently, they may propagate long-term unfavorable location decisions, as major potentials associated with company-driven and municipal development measures are neglected. Therefore, this paper introduces a comprehensive decision support framework for the Regional Facility Location and Development planning Problem (RFLDP). It provides an operationalization of development measures, and thus anticipates dynamic adaptations to the environment. An established multi-criteria approach is extended to this new application. A complementary guideline ensures its meaningful applicability by practitioners. Based on a real-life case study, the decision support framework’s strength for practical application is demonstrated. Here, major advantages over conventional FLP approaches are highlighted. It is shown that the proposed methodology results in alternative location decisions which are structurally superior.

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