A5041673735- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Transportation and Mobility Innovations
- Mobile Crowdsensing and Crowdsourcing
- Context-Aware Activity Recognition Systems
- Traffic Prediction and Management Techniques
- Data-Driven Disease Surveillance
- Time Series Analysis and Forecasting
- Smart Cities and Technologies
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Flexible and Reconfigurable Manufacturing Systems
- Usability and User Interface Design
- EEG and Brain-Computer Interfaces
- Business Process Modeling and Analysis
- Anomaly Detection Techniques and Applications
- Reservoir Engineering and Simulation Methods
- Mining Techniques and Economics
- Occupational Health and Safety Research
- Welding Techniques and Residual Stresses
- ECG Monitoring and Analysis
- Urban and Freight Transport Logistics
- Music and Audio Processing
- Complex Network Analysis Techniques
Ghent University
2015-2024
Flanders Make (Belgium)
2020-2024
Escuela Superior Politecnica del Litoral
2016-2023
Sustainable mobility and smart management play important roles in achieving cities' goals. In this context we investigate the role of smartphones as behavior sensors evaluate responsivity different attitudinal profiles towards personalized route suggestion incentives delivered via mobile phones. The empirical results are based on sensed data collected from more than 3400 people's real life over a period six months. findings show which user most likely to accept such how they result...
Common goals of sustainable mobility approaches are to reduce the need for travel, facilitate modal shifts, decrease trip distances and improve energy efficiency in transportation systems. Among these issues, shift plays an important role adoption vehicles with fewer or zero emissions. Nowadays, electric bike (e-bike) is becoming a valid alternative cars urban areas. However, promote shift, better understanding behaviour e-bike users required. In this paper, we investigate habits e-bikers...
Manufacturing industry faces increasing complexity in the performance of assembly tasks due to escalating demand for complex products with a greater number variations. Operators require robust assistance systems enhance productivity, efficiency, and safety. However, existing support services often fall short when operators encounter unstructured open questions incomplete sentences primarily relying on procedural digital work instructions. This draws attention need practical application...
The article describes an application of global positioning system (GPS) tracking data (floating bike data) for measuring delays cyclists at signalized intersections. For selected intersections, we used trip collected by smartphone to calculate the average delay interpolation between GPS locations before and after intersection. outcomes were proven be stable different strategies in selecting calculation, although too close intersection tended lead underestimation delay. Therefore, sample...
Human travel behaviour has been addressed in many transport studies, where survey methods have widely used to collect self-reported insights of daily mobility patterns. However, since the introduction Global Navigation Satellite Systems (GNSS) and more recently smartphones with built-in GNSS, researchers adopted these ubiquitous devices as tools for collecting data. Although most studies recognize applicability this technology, it still limitations. These are rarely a quantified manner....
Since information and communication technologies have become an integral part of our everyday lives, it only seems logical that the smart city concept should attempt to explore role integrated approach asset management raising quality life its citizens. Raising relies not on improving a city’s systems (e.g. transportation system) but also provision timely relevant citizens allow them make better informed decisions. This requires use forecasting models. In this paper, support vector...
Abstract One of the main challenges in industry is having trained and efficient operators manufacturing lines. Smart adaptive guidance systems are developed that offer assistance to operator during assembly. Depending on operator’s level execution, system should be able serve a different response. This paper investigates assessment classification functional state using observed task execution times. Five classifiers studied for time series. The experiments based an case ground truth provided...
Tracking assembly lines in manufacturing to provide assistance is one of the essential requirement Smart Industry. Nevertheless, these given and guidelines should be offered operators when needed. Otherwise, it can deemed patronising some cases, e.g., experienced may require less than junior operators. Therefore, tailored guidance lines, operators' experience-level classified at different levels. In this paper, we introduce three scenarios achieve classification expert levels a real case...
Traditional travel survey methods have been widely used for collecting information about urban mobility although Global Position System (GPS) has become an automatic option more precise data of the households since mid-1990s. Many studies on patterns focused GPS advantages leaving aside its issues such as quality collected. However, when it comes to extract frequency trips and travelled distance, this technology faces some gaps due related signal reception time-to-first-fix location that...
Governments are increasingly interested in the use of crowdsourced spatial tracking data to gain information on travel behaviour their citizens. To improve reliability reporting such mobility studies, this paper systematically analyses propagation errors from low level operations high indicators, as modal split and travelled distances. We find that most existing metrics literature insufficient fully quantify evolution quality. The channels presented schematically a new approach quality at...
Mobility behavior was impacted severely by the COVID-19 health crisis. To understand changing situation, crisis managers need access to credible and timely data. In this paper, we look at potential of traffic management data for management. We list different categories types sources provide an overview how policymakers, research institutions private companies can repurpose their monitor effect accompanying lockdown measures on mobility behavior. Finally, illustrate through two use cases in...