A5074449880- Traffic and Road Safety
- Human-Automation Interaction and Safety
- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Safety Warnings and Signage
- Traffic Prediction and Management Techniques
- Traffic control and management
- Older Adults Driving Studies
- Vehicle emissions and performance
- Efficiency Analysis Using DEA
- Occupational Health and Safety Research
- Injury Epidemiology and Prevention
- Smart Grid Energy Management
- Electric Power System Optimization
- Infrastructure Maintenance and Monitoring
- Autonomous Vehicle Technology and Safety
- Data Mining Algorithms and Applications
- Rough Sets and Fuzzy Logic
- Risk and Safety Analysis
- Transportation and Mobility Innovations
- Multi-Criteria Decision Making
- Behavioral and Psychological Studies
- Data Management and Algorithms
- Consumer Market Behavior and Pricing
- Autism Spectrum Disorder Research
Hasselt University
2016-2025
KU Leuven
2015-2022
Ghent University
2020-2022
Qatar University
2018-2020
Eurogentec (Belgium)
2020
Delft University of Technology
2019
Johns Hopkins University
2016-2017
Ferdowsi University of Mashhad
2017
Imam Khomeini International University
2017
Universidade de São Paulo
2015
It has been claimed that the discovery of association rules is well-suited for applications market basket analysis to reveal regularities in purchase behaviour customers. Moreover, recent work indicates interesting can fact only be addressed within a microeconomic framework. This study integrates frequent itemsets with (microeconomic) model product selection (PROFSET). The enables integration both quantitative and qualitative (domain knowledge) criteria. Sales transaction data from...
Generalized linear models (GLMs) are the most widely used utilized in crash prediction studies. These illustrate relationships between dependent and explanatory variables by estimating fixed global estimates. Since occurrences often spatially heterogeneous affected many spatial variables, existence of correlation data is examined means calculating Moran's I measures for variables. The results indicate necessity considering when developing models. main objective this research to develop...
This study investigated if decreased cognitive control, reflected in response inhibition and working-memory performance, is an underlying mechanism of risky driving young novice drivers. Thirty-eight participants aged 17 to 25 years old, with less than 1 year experience, completed a simulated drive that included several measures. Measures verbal working memory were negatively associated the standard deviation lateral lane position. Response inhibition, but not memory, was also related...
Road safety assessment has played a crucial role in the theory and practice of transport management systems. This paper focuses on risk evaluation Asian region by exploring interaction between road influencing factors. In first stage, data envelopment analysis (DEA) method is applied to calculate rank levels countries. second structural equation model (SEM) with latent variables analyze level variables, measured six observed performance indicators, i.e., financial impact, institutional...
The i-DREAMS project has a core objective: to establish comprehensive framework that defines, develops, and validates context-aware ‘Safety Tolerance Zone’ (STZ). This zone is crucial for maintaining drivers within safe operational boundaries. primary focus of this research conduct detailed comparison between two machine learning approaches: long short-term memory networks shallow neural networks. goal evaluate the safety levels participants as they engage in natural driving experiences...