Vehicle sharing systems: Does demand forecasting yield a better service?
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To document the enthusiasm for the CAMEA spectrometer, we provide in this document: i) Letters of support from leading scientists representing several of the fields of science that will be enabled by CAMEA. ii) A list of scientists who wished to be listed ...
Demand response (DR) emerges as one of the cheapest and greenest solutions to match supply and demand in the electricity sector. Compared to price-based DR, incentive-based DR is considered to be more promising, since it does not require consumers to monit ...
The presented microrobotic platform combines together the advantages of self-folding NIR light sensitive polymer bilayers, magnetic alginate microbeads, and a 3D manipulation system, to propose a solution for targeted, on-demand drug and cell delivery. Fir ...
This thesis investigates methodologies for improving the demand responsiveness of transportation systems through flexibility. The methodologies propose advances both in demand and supply models having a focus on supply-demand interactions. The demand side ...
A framework is outlined for estimating pedestrian demand within a railway station which takes advantage of the train timetable and train frequentation data, as well as various direct or indirect indicators of demand. These may include e.g. link flow counts ...
Transport systems in real cities are complex with many modes of transport sharing and competing for limited road space. This work intends to understand how space distributions for modes and interactions among modes affect network traffic performance. While ...
Pedestrian modeling is a tool for designing and optimizing infrastructures. In particular, walking in transportation hubs such as railway stations and airports is the key for an efficient multimodal transport systems. Data collections are needed in estimat ...
Coordination of decentralized supply chains using contract design is a problem that has been widely addressed in the literature. We consider a divergent supply chain including a supplier and several retailers producing fashion products with short sale seas ...
Prof Bierlaire will present the powerful methods of Discrete Choice Analysis that are used in forecasting human behaviour to predict, among others, the demand for a new product under alternative pricing strategies. From individual behaviors, such technique ...
Demand Response (DR) is a mechanism in which electricity consumers alter their demand in response to power grid’s supply and economic conditions. DR programs have the potential to improve resource efficiency, sustainability, grid reliability and economic v ...