A5050405529- Traffic Prediction and Management Techniques
- Game Theory and Voting Systems
- Rough Sets and Fuzzy Logic
- Transportation Planning and Optimization
- Traffic control and management
- AI-based Problem Solving and Planning
- Electoral Systems and Political Participation
- Multi-Criteria Decision Making
- Bayesian Modeling and Causal Inference
- Gender, Labor, and Family Dynamics
- Fiscal Policy and Economic Growth
- Pharmaceutical Economics and Policy
- Global Health Care Issues
- Vehicle emissions and performance
- Fault Detection and Control Systems
- Traffic and Road Safety
- Obesity, Physical Activity, Diet
- Time Series Analysis and Forecasting
- Opinion Dynamics and Social Influence
- Data Management and Algorithms
- Anomaly Detection Techniques and Applications
- Consumer Market Behavior and Pricing
- Intellectual Property and Patents
- Agriculture and Rural Development Research
- Nutrition, Health and Food Behavior
Toulouse School of Economics
2010-2025
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2024
École Nationale des Travaux Publics de l'État
2007-2010
Laboratoire d'Ingénierie Circulation Transports
2007-2009
Université Claude Bernard Lyon 1
2008
Institut de Recherche en Informatique de Toulouse
1999-2004
Université Toulouse III - Paul Sabatier
1999-2003
Institut National des Sciences Appliquées de Toulouse
2002
Institut National des Sciences Appliquées de Rennes
2001
Université Toulouse-I-Capitole
1999-2000
This article quantifies the relationship between market size and innovation in pharmaceutical industry using improved, newer, methods data. We find significant elasticities of to expected with a point estimate under our preferred specification 0.23. suggests that, on average, $ 2.5 billion is required additional revenue support invention one new chemical entity. magnitude plausible given recent accounting estimates cost 800 million 1 per drug, marginal costs manufacture distribution near 50%.
Background: In many countries, consumption of fruits and vegetables (F&V) is below recommended levels. We quantify the economic health effects alternative policy (P) scenarios aiming to increase F&V consumption: (P1) 3.4% reduction in VAT, (P2) €100/year/person stamp designed for low-income consumers (LIC) (P3) €10 M information campaign. Methods: An model market provides variations a impact model, leading number deaths avoided (DA) life-years saved (LYS). compare cost per statistical DA...
Dempster–Shafer data fusion can enhance travel time estimation for motorists and traffic managers. In this paper, from inductive loop road sensors toll collection stations are merged through inference to generate an improved estimate of time. The technique captures the two sources combines them by using Dempster's rule belief values (also called probability mass) calculated a confusion matrix. most probable over monitored section is selected as that with largest belief. A case study provided...
In this article data fusion from different sources in order to improve estimation and prediction accuracy of traffic states on motorways is proposed. This demonstrated two case studies an intraurban interurban motorway section Austria. Data combines local detector speed the Electronic Toll Collection (ETC) system for heavy goods vehicles (HGV). A macroscopic model open sections has been used estimate passenger car HGV density, applying a standard state-space linear Kalman filter. The...
This paper presents a general approach to diagnosis in relational setting where uncertainty is expressed by means of possibility theory. Causal knowledge supposed be described directed links between causes and their possible symptoms. More precisely, symptoms are on binary or non-binary attribute domains fuzzy sets may pervaded with uncertainty. Moreover, observations also uncertain. The proposed model generalizes both previously developed the one hand, treatment graded case precise recently...
Journal Article Are fruit and vegetable voucher policies cost-effective? Get access O. de Mouzon, Mouzon †Toulouse School of Economics (GREMAQ-INRA), France Search for other works by this author on: Oxford Academic Google Scholar V. Réquillart, Réquillart ‡Toulouse (GREMAQ-INRA, IDEI), L.-G. Soler, Soler §INRA-ALISS UR 1303, Ivry sur Seine, J. Dallongeville, Dallongeville * *Corresponding author: INRA-ALISS 65 Boulevard Brandebourg, F-94205, France. E-mail: soler@ivry.inra.fr L. Dauchet...
Causal diagnosis deals with the search for plausible causes which may have produced observed effects. Knowledge about possible effects of a malfunction on given attribute is represented by possibility distribution, as well values an (giving imprecision observation). Any kind attributes (binary, numerical, etc.) allowed. In this paper, we restrict to single-fault diagnosis. Two main indices, respectively based consistency and abduction, enable one discriminate malfunctions. The case where...
This paper proposes a general approach to diagnosis based on fuzzy pattern matching, making use of consistency and inclusion-based indices in the setting possibility theory. The was first developed for binary attributes single faults. It then generalized any kind (including multidimensional ones). presents refined representation (where distinction is made between effects that are possible sure just not impossible, where information about (ab)normal values used). Moreover, an extension...