Methodologies for understanding and improving pedestrian mobility
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The focus of the thesis is the utilization of the data collected using state-of-the-art tracking technologies for the characterization and modeling of pedestrian movements. In this context, the main objectives are the development of (i) data-driven definit ...
In this project, we propose a probabilistic modeling approach to represent the speed- density relationship of pedestrian traffic. The approach is data-driven and is motivated by the presence of high scatter in the raw data I have been provided with (tracki ...
Road space distribution among multiple modes of transport in urban networks has attracted the interest of several researchers and policy planners. Traditionally, these problems are solved by ignoring operational and dynamic characteristics of multi-modal c ...
A smart design of transport systems involves efficient use and allocation of the limited urban road capacity in the multimodal environment. This paper intends to understand the system-wide effect of dividing the road space to the private and public transpo ...
Exploiting the full potential of pedestrian infrastructures in order to satisfy the demand induced
by public transport modes is key to achieving good level-of-service for passengers during
transfers. High temporal variability in demand can lead to high con ...
Graphical expression through mapping can be an essential tool to conduct urban analysis, capable of expressing contextual spatial distribution and providing complementary information to numerical analysis. Although urban analytics are central for most issu ...
Walking is often taken for granted or considered as an ancillary activity. Little is known about the distribution of walking in contemporary populations, and even less about the few people who walk for an hour or more in public space on most days of the we ...
