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  • Other research product . Other ORP type . 2010
    Open Access English
    Authors: 
    Chabot, Armelle;
    Publisher: HAL CCSD
    Country: France

    Invited presentation - Visiting University of Reno, USA

  • Other research product . Other ORP type . 2020
    Open Access English
    Authors: 
    ZEGHNI, Sylvain;
    Publisher: HAL CCSD
    Country: France

    Il y a quelques jours, Stephen Roach, économiste renommé, a publié un remarquable article d'opinion dans le "Financial Times". Il a esquissé un avenir de stagflation (faible croissance et de forte inflation) en raison de la fragilité croissante des chaînes et de la baisse de la demande des consommateurs que le confinement a imposée.Selon nous, Stephen Roach a fondamentalement tort. En substance, cet argument réitère la crainte de nombreux nouveaux économistes classiques qui s'inspirent de l'affirmation de Milton Friedman selon laquelle l'inflation est toujours un phénomène monétaire.

  • Other research product . Other ORP type . 2016
    Open Access English
    Authors: 
    KOUTA, Nataly;
    Publisher: HAL CCSD
    Country: France

    Mémoire de stage; The use of adhesively bonded composite reinforcement for steel structures induce a closer study of the adhesive as it is considered the weakest point in the assembly. A reliable numerical damage model has been developed for the adhesively bonded joints and then verified for different types of configurations. A bi- linear traction separation description of a cohesive zone model was used in ABAQUS to simulate the damage evaluation in the adhesive. It was then compared to experimental results for the global structure behavior (local strains, applied load, applied displacement).; L'utilisation des renforcements par composites collés pour des structures métalliques implique une étude plus approfondie des adhésifs puisqu'il s'agit dans ce cas de l'élément le plus faible dans l'assemblage. Un modèle d'endommagement numérique a été développé pour le joint collé étudié et appliqué pour diffèrent type de configurations. Le modèle bi linéaire de traction- séparation (modèle de zone cohésives) est réalisé sur ABAQUS pour visualiser l'évaluation de l'endommagement de l'adhésive et pouvoir réaliser une comparaison avec les investigations expérimentales (déformation locale, effort appliqué, déplacement appliqué).

  • Open Access English
    Authors: 
    Soldovieri, Francesco; Masini, Nicola; Alvarez de Buergo, Monica; Dumoulin, Jean;
    Publisher: Society of Exploration Geophysicists
    Country: France

    International audience

  • Other research product . Other ORP type . 2009
    Open Access English
    Authors: 
    SELLOUM, Ahmed; BETAILLE, David; LE CARPENTIER, Eric; PEYRET, François;
    Country: France

    GPS positioning and map-matching are key technologies used in Car Navigation Systems. Next generation of Cooperative Vehicle Infrastructure Systems (CVIS) will surely require positioning component with higher accuracy, integrity and availability, for instance for the needs of lanelevel applications. The concept of Map Aided Location (MAL) was introduced recently: it consists in considering the map contents (geometry and topology) as constraints in the positioning problem. The main contribution of the work reported in this article concerns the evolution model of the vehicle : whereas previous research investigations were based on usual models in plane coordinates, we propose here an evolution model adapted to the local curvature of the road. Therefore, road constraints are emphasized, particularly when GPS outages occur. An enhanced map (Emap) - where all lanes are represented with decimeter accuracy - is used in this Map Aided Location process.

  • Open Access English
    Authors: 
    AMDITIS, Angelos; BIMPAS, Matthaios; THOMAIDIS, George; TSOGAS, Manolis; NETTO, Mariana; MAMMAR, Said; BEUTNER, Achim; MOHLER, Nikolaus; WIRTHGEN, Tom; ZIPSER, Stephan; +3 more
    Publisher: INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS - IEEE
    Country: France

    Going beyond standard lane-departure-avoidance systems, this paper addresses the development of a system that is able to deal with a large set of different traffic situations. Its foundation lies on a thoroughly constituted environment detection through which a decision system is built. From the output of the decision module, the driver is warned or corrected through suited actuators that are coupled to control strategies. The input to the system comes from cameras, which are supplemented by active sensors (such as radar and laser scanners) and vehicle dynamic data, digital road maps, and precise vehicle-positioning data. In this paper, the presented system design is divided into three layers: the perception layer, which is responsible for the environment perception, and the decision and action layers, which are responsible for evaluating and executing actions, respectively.

  • Other research product . Other ORP type . 2019
    Open Access English
    Authors: 
    NIEUWENHUIJSEN, Mark J.; AGIER, Lydiane; BASAGANA, Xavier; URQUIZA, Jose; TAMAYO-URIA, Ibon; GIORGIS-ALLEMAND, Lise; ROBINSON, Oliver; SIROUX, Valérie; MAITRE, Léa; DE CASTRO, Montserrat; +17 more
    Country: France

    Background: The exposome is defined as the totality of environmental exposures from conception onwards. It calls for providing a holistic view of environmental exposures and their effects on human health by evaluating multiple environmental exposures simultaneously during critical periods of life.Objective:We evaluated the association of the urban exposome with birth weight.Methods:We estimated exposure to the urban exposome, including the built environment, air pollution, road traffic noise, meteorology, natural space, and road traffic (corresponding to 24 environmental indicators and 60 exposures) for nearly 32,000 pregnant women from six European birth cohorts. To evaluate associations with either continuous birth weight or term low birth weight (TLBW) risk, we primarily relied on the Deletion-Substitution-Addition (DSA) algorithm, which is an extension of the stepwise variable selection method. Second, we used an exposure-by-exposure exposome-wide association studies (ExWAS) method accounting for multiple hypotheses testing to report associations not adjusted for coexposures.Results:The most consistent statistically significant associations were observed between increasing green space exposure estimated as Normalized Difference Vegetation Index (NDVI) and increased birth weight and decreased TLBW risk. Furthermore, we observed statistically significant associations among presence of public bus line, land use Shannon's Evenness Index, and traffic density and birth weight in our DSA analysis.Conclusion:This investigation is the first large urban exposome study of birth weight that tests many environmental urban exposures. It confirmed previously reported associations for NDVI and generated new hypotheses for a number of built-environment exposures.

  • Open Access English
    Authors: 
    MENEROUX, Yann; LE GUILCHER, Arnaud; SAINT PIERRE, Guillaume; GHASEMI HAMED, Mohammad; MUSTIERE, Sébastien; ORFILA, Olivier;
    Publisher: Springer Verlag
    Country: France

    The increasing availability of large-scale global positioning system data stemming from in-vehicle-embedded terminal devices enables the design of methods deriving road network cartographic information from drivers' recorded traces. Some machine learning approaches have been proposed in the past to train automatic road network map inference, and recently this approach has been successfully extended to infer road attributes as well, such as speed limitation or number of lanes. In this paper, we address the problem of detecting traffic signals from a set of vehicle speed profiles, under a classification perspective. Each data instance is a speed versus distance plot depicting over a hundred profiles on a 100-m-long road span. We proposed three different ways of deriving features: The first one relies on the raw speed measurements; the second one uses image recognition techniques; and the third one is based on functional data analysis. We input them into most commonly used classification algorithms, and a comparative analysis demonstrated that a functional description of speed profiles with wavelet transforms seems to outperform the other approaches with most of the tested classifiers. It also highlighted that random forests yield an accurate detection of traffic signals, regardless of the chosen feature extraction method, while keeping a remarkably low confusion rate with stop signs.

  • Other research product . Other ORP type . 2020
    Open Access English
    Authors: 
    ADELE, Sonia; DIONISIO, Corinne;
    Publisher: Springer Open
    Country: France

    Aim: This paper explores the real practices of users of a smart carpooling application that learns their mobility habits and predicts their future trips to propose relevant matches. Method: A combination of usage data and interviews analysis allows us to explore the commuter experience from registration to the first and the next shared rides. Findings: The results highlight the shortcomings associated with human factors in carpooling and with human-smart system interactions. They show that perceptions of practical constraints and poor counterparts are the major reasons for difficulty in incorporating carpooling into daily mobility. Psychosocial barriers take different forms at different steps of the carpooling experience (search for information or guarantees about other users, the necessity of conversing with others, much uncertainty about how to behave). The fact that the service is smart amplifies these problems and reduces the desire to carpool again because it creates new misunderstandings (i.e., the user does not understand what the system vs. the other users do) and discomfort in relation to other riders (no answer, too many refusals, necessity of refusing, negative carpool experience, or concern over proposing a bad carpool). Despite these difficulties, the users perceive carpooling as a good solution and a positive human experience when the matching is accurate. We propose some recommendations to overcome the identified difficulties.

  • Other research product . Other ORP type . 2013
    Open Access English
    Authors: 
    Vidal, Olivier; Weihed, Pär; Hagelüken, Christian; Bol, Derk; Christmann, Patrice; Arndt, Nicholas;
    Publisher: HAL CCSD
    Country: France
    Project: EC | ERA-MIN (291870), EC | AORVM (201312)

    European Research Area - Network on the Industrial Handling of Raw Materials for European Industries; roadmap of the "ERA-MIN" eranet; Non-energy and non-agricultural raw materials underpin the global economy and our quality of life. They are vital for the EU's economy and for the development of environmentally friendly technologies essential to European industries. However, the EU is highly dependent on imports, and securing supplies has therefore become crucial. A sustainable supply of mineral products and metals for European industry requires a more efficient and rational consumption, enhanced substitution and improved recycling. Recycling from scrap to raw materials has been rapidly gaining in quantity and efficiency over the last years. However, continuous re-use cannot provide alone the necessary quantities of mineral raw materials, due to i) recycling losses, ii) the worldwide growing demand in raw materials, and iii) the need of "new" elements for the industry. To fully meet future needs, metals and mineral products from primary sources will still be needed in the future. Most of them will continue to be imported from sources outside Europe; but others can, and should, be produced domestically. Advanced research and innovation are required to improve the capacity of existing technologies to discover new deposits, to improve the efficiency of the entire geomaterials life cycle from mineral extraction to the use as secondary resource of products at the end of their industrial life, and to reduce the environmental footprint of raw materials extraction and use. Research and innovation must be made to acquire knowledge as well, and to improve our basic understanding of all engineering and natural processes involved in the raw materials life cycle, as well as the coupling of these processes. Finally, research has to go beyond the present-day economic and technological constraints, and it should be closely associated with training and education in order to maintain existing skills and to share the most recent developments with the industrial sector. A long-term vision of research is necessary in order to have the capacity of evaluating the environmental and societal impacts of present and developing industrial activities and to imagine tomorrow's breakthrough concepts and technologies that will create new industrial opportunities. These objectives require the input of contrasted scientific and technical skills and competences (earth science, material science and technology, chemistry, physics, engineer, biology, engineering, environmental science, economy, social and human sciences, etc). An important challenge is to gather all these domains of expertise towards the same objective. The ERA-MIN Research Agenda aims at listing the most important topics of research and innovation that will contribute to i) secure the sustainable supply and management of non-energy and non-agricultural raw materials, and ii) offer opportunities of investment and employment opportunities in the EU.

Advanced search in
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
69 Research products, page 1 of 7
  • Other research product . Other ORP type . 2010
    Open Access English
    Authors: 
    Chabot, Armelle;
    Publisher: HAL CCSD
    Country: France

    Invited presentation - Visiting University of Reno, USA

  • Other research product . Other ORP type . 2020
    Open Access English
    Authors: 
    ZEGHNI, Sylvain;
    Publisher: HAL CCSD
    Country: France

    Il y a quelques jours, Stephen Roach, économiste renommé, a publié un remarquable article d'opinion dans le "Financial Times". Il a esquissé un avenir de stagflation (faible croissance et de forte inflation) en raison de la fragilité croissante des chaînes et de la baisse de la demande des consommateurs que le confinement a imposée.Selon nous, Stephen Roach a fondamentalement tort. En substance, cet argument réitère la crainte de nombreux nouveaux économistes classiques qui s'inspirent de l'affirmation de Milton Friedman selon laquelle l'inflation est toujours un phénomène monétaire.

  • Other research product . Other ORP type . 2016
    Open Access English
    Authors: 
    KOUTA, Nataly;
    Publisher: HAL CCSD
    Country: France

    Mémoire de stage; The use of adhesively bonded composite reinforcement for steel structures induce a closer study of the adhesive as it is considered the weakest point in the assembly. A reliable numerical damage model has been developed for the adhesively bonded joints and then verified for different types of configurations. A bi- linear traction separation description of a cohesive zone model was used in ABAQUS to simulate the damage evaluation in the adhesive. It was then compared to experimental results for the global structure behavior (local strains, applied load, applied displacement).; L'utilisation des renforcements par composites collés pour des structures métalliques implique une étude plus approfondie des adhésifs puisqu'il s'agit dans ce cas de l'élément le plus faible dans l'assemblage. Un modèle d'endommagement numérique a été développé pour le joint collé étudié et appliqué pour diffèrent type de configurations. Le modèle bi linéaire de traction- séparation (modèle de zone cohésives) est réalisé sur ABAQUS pour visualiser l'évaluation de l'endommagement de l'adhésive et pouvoir réaliser une comparaison avec les investigations expérimentales (déformation locale, effort appliqué, déplacement appliqué).

  • Open Access English
    Authors: 
    Soldovieri, Francesco; Masini, Nicola; Alvarez de Buergo, Monica; Dumoulin, Jean;
    Publisher: Society of Exploration Geophysicists
    Country: France

    International audience

  • Other research product . Other ORP type . 2009
    Open Access English
    Authors: 
    SELLOUM, Ahmed; BETAILLE, David; LE CARPENTIER, Eric; PEYRET, François;
    Country: France

    GPS positioning and map-matching are key technologies used in Car Navigation Systems. Next generation of Cooperative Vehicle Infrastructure Systems (CVIS) will surely require positioning component with higher accuracy, integrity and availability, for instance for the needs of lanelevel applications. The concept of Map Aided Location (MAL) was introduced recently: it consists in considering the map contents (geometry and topology) as constraints in the positioning problem. The main contribution of the work reported in this article concerns the evolution model of the vehicle : whereas previous research investigations were based on usual models in plane coordinates, we propose here an evolution model adapted to the local curvature of the road. Therefore, road constraints are emphasized, particularly when GPS outages occur. An enhanced map (Emap) - where all lanes are represented with decimeter accuracy - is used in this Map Aided Location process.

  • Open Access English
    Authors: 
    AMDITIS, Angelos; BIMPAS, Matthaios; THOMAIDIS, George; TSOGAS, Manolis; NETTO, Mariana; MAMMAR, Said; BEUTNER, Achim; MOHLER, Nikolaus; WIRTHGEN, Tom; ZIPSER, Stephan; +3 more
    Publisher: INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS - IEEE
    Country: France

    Going beyond standard lane-departure-avoidance systems, this paper addresses the development of a system that is able to deal with a large set of different traffic situations. Its foundation lies on a thoroughly constituted environment detection through which a decision system is built. From the output of the decision module, the driver is warned or corrected through suited actuators that are coupled to control strategies. The input to the system comes from cameras, which are supplemented by active sensors (such as radar and laser scanners) and vehicle dynamic data, digital road maps, and precise vehicle-positioning data. In this paper, the presented system design is divided into three layers: the perception layer, which is responsible for the environment perception, and the decision and action layers, which are responsible for evaluating and executing actions, respectively.

  • Other research product . Other ORP type . 2019
    Open Access English
    Authors: 
    NIEUWENHUIJSEN, Mark J.; AGIER, Lydiane; BASAGANA, Xavier; URQUIZA, Jose; TAMAYO-URIA, Ibon; GIORGIS-ALLEMAND, Lise; ROBINSON, Oliver; SIROUX, Valérie; MAITRE, Léa; DE CASTRO, Montserrat; +17 more
    Country: France

    Background: The exposome is defined as the totality of environmental exposures from conception onwards. It calls for providing a holistic view of environmental exposures and their effects on human health by evaluating multiple environmental exposures simultaneously during critical periods of life.Objective:We evaluated the association of the urban exposome with birth weight.Methods:We estimated exposure to the urban exposome, including the built environment, air pollution, road traffic noise, meteorology, natural space, and road traffic (corresponding to 24 environmental indicators and 60 exposures) for nearly 32,000 pregnant women from six European birth cohorts. To evaluate associations with either continuous birth weight or term low birth weight (TLBW) risk, we primarily relied on the Deletion-Substitution-Addition (DSA) algorithm, which is an extension of the stepwise variable selection method. Second, we used an exposure-by-exposure exposome-wide association studies (ExWAS) method accounting for multiple hypotheses testing to report associations not adjusted for coexposures.Results:The most consistent statistically significant associations were observed between increasing green space exposure estimated as Normalized Difference Vegetation Index (NDVI) and increased birth weight and decreased TLBW risk. Furthermore, we observed statistically significant associations among presence of public bus line, land use Shannon's Evenness Index, and traffic density and birth weight in our DSA analysis.Conclusion:This investigation is the first large urban exposome study of birth weight that tests many environmental urban exposures. It confirmed previously reported associations for NDVI and generated new hypotheses for a number of built-environment exposures.

  • Open Access English
    Authors: 
    MENEROUX, Yann; LE GUILCHER, Arnaud; SAINT PIERRE, Guillaume; GHASEMI HAMED, Mohammad; MUSTIERE, Sébastien; ORFILA, Olivier;
    Publisher: Springer Verlag
    Country: France

    The increasing availability of large-scale global positioning system data stemming from in-vehicle-embedded terminal devices enables the design of methods deriving road network cartographic information from drivers' recorded traces. Some machine learning approaches have been proposed in the past to train automatic road network map inference, and recently this approach has been successfully extended to infer road attributes as well, such as speed limitation or number of lanes. In this paper, we address the problem of detecting traffic signals from a set of vehicle speed profiles, under a classification perspective. Each data instance is a speed versus distance plot depicting over a hundred profiles on a 100-m-long road span. We proposed three different ways of deriving features: The first one relies on the raw speed measurements; the second one uses image recognition techniques; and the third one is based on functional data analysis. We input them into most commonly used classification algorithms, and a comparative analysis demonstrated that a functional description of speed profiles with wavelet transforms seems to outperform the other approaches with most of the tested classifiers. It also highlighted that random forests yield an accurate detection of traffic signals, regardless of the chosen feature extraction method, while keeping a remarkably low confusion rate with stop signs.

  • Other research product . Other ORP type . 2020
    Open Access English
    Authors: 
    ADELE, Sonia; DIONISIO, Corinne;
    Publisher: Springer Open
    Country: France

    Aim: This paper explores the real practices of users of a smart carpooling application that learns their mobility habits and predicts their future trips to propose relevant matches. Method: A combination of usage data and interviews analysis allows us to explore the commuter experience from registration to the first and the next shared rides. Findings: The results highlight the shortcomings associated with human factors in carpooling and with human-smart system interactions. They show that perceptions of practical constraints and poor counterparts are the major reasons for difficulty in incorporating carpooling into daily mobility. Psychosocial barriers take different forms at different steps of the carpooling experience (search for information or guarantees about other users, the necessity of conversing with others, much uncertainty about how to behave). The fact that the service is smart amplifies these problems and reduces the desire to carpool again because it creates new misunderstandings (i.e., the user does not understand what the system vs. the other users do) and discomfort in relation to other riders (no answer, too many refusals, necessity of refusing, negative carpool experience, or concern over proposing a bad carpool). Despite these difficulties, the users perceive carpooling as a good solution and a positive human experience when the matching is accurate. We propose some recommendations to overcome the identified difficulties.

  • Other research product . Other ORP type . 2013
    Open Access English
    Authors: 
    Vidal, Olivier; Weihed, Pär; Hagelüken, Christian; Bol, Derk; Christmann, Patrice; Arndt, Nicholas;
    Publisher: HAL CCSD
    Country: France
    Project: EC | ERA-MIN (291870), EC | AORVM (201312)

    European Research Area - Network on the Industrial Handling of Raw Materials for European Industries; roadmap of the "ERA-MIN" eranet; Non-energy and non-agricultural raw materials underpin the global economy and our quality of life. They are vital for the EU's economy and for the development of environmentally friendly technologies essential to European industries. However, the EU is highly dependent on imports, and securing supplies has therefore become crucial. A sustainable supply of mineral products and metals for European industry requires a more efficient and rational consumption, enhanced substitution and improved recycling. Recycling from scrap to raw materials has been rapidly gaining in quantity and efficiency over the last years. However, continuous re-use cannot provide alone the necessary quantities of mineral raw materials, due to i) recycling losses, ii) the worldwide growing demand in raw materials, and iii) the need of "new" elements for the industry. To fully meet future needs, metals and mineral products from primary sources will still be needed in the future. Most of them will continue to be imported from sources outside Europe; but others can, and should, be produced domestically. Advanced research and innovation are required to improve the capacity of existing technologies to discover new deposits, to improve the efficiency of the entire geomaterials life cycle from mineral extraction to the use as secondary resource of products at the end of their industrial life, and to reduce the environmental footprint of raw materials extraction and use. Research and innovation must be made to acquire knowledge as well, and to improve our basic understanding of all engineering and natural processes involved in the raw materials life cycle, as well as the coupling of these processes. Finally, research has to go beyond the present-day economic and technological constraints, and it should be closely associated with training and education in order to maintain existing skills and to share the most recent developments with the industrial sector. A long-term vision of research is necessary in order to have the capacity of evaluating the environmental and societal impacts of present and developing industrial activities and to imagine tomorrow's breakthrough concepts and technologies that will create new industrial opportunities. These objectives require the input of contrasted scientific and technical skills and competences (earth science, material science and technology, chemistry, physics, engineer, biology, engineering, environmental science, economy, social and human sciences, etc). An important challenge is to gather all these domains of expertise towards the same objective. The ERA-MIN Research Agenda aims at listing the most important topics of research and innovation that will contribute to i) secure the sustainable supply and management of non-energy and non-agricultural raw materials, and ii) offer opportunities of investment and employment opportunities in the EU.

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