Demand-Driven Optimization Of Transport Systems

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The transportation of people and freight is ubiquitous and undergoes a transformation that will have tremendous impact on the society, environment and economy. Demand drives this transformation by adopting emerging transport services. This results in integrated transport systems (TS) where the historical separations between private and public transport modes as well between people and freight are blurred. The overall objective of this research program is to develop methodologies to predict demand and optimize supply of integrated TS taking the demand response into account. To achieve this objective we develop (i) statistical learning algorithms (ii) optimization models and solutions methods.