Abstract: An apparatus in an illustrative embodiment comprises a processing platform that includes at least one processing device, the processing device comprising a processor coupled to a memory. The processing platform is configured to implement a machine learning based framework for at least one of simulation and analysis relating to multi-modal mobility, the machine learning based framework comprising a plurality of stages, including at least a population synthesis stage and a trip generation stage. The processing platform is further configured to execute a first machine learning model in the population synthesis stage, and to execute a second machine learning model in the trip generation stage, the second machine learning model being different than the first machine learning model. The first machine learning model illustratively comprises a traveler cluster classifier, and the second machine learning model illustratively comprises a mode-duration choice model.

Abstract: The present application describes dynamic light control system that, can dynamically adapt to different sun positions and interior lighting levels. The dynamic light control system, includes two or more confinement panes and one or more light redirecting elements positioned therebetween. The light redirecting elements are arranged to deform the light redirecting elements in response to a change in the position of the sun. In addition, one or more fluidic-channels are formed between the light redirecting elements and the confinement panels, that can be filled with any desired fluid to provide additional dynamic changes depending on the desired characteristics.