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The MFD and the built environment
(2017)Travel behavior in urban areas has been widely analyzed from the demand side, while the extent to which the infrastructure imposes constraints on such travel behavior and leads to delays and congestion has almost never been studied. For car-based transportation, the recently developed theory of the macroscopic fundamental diagram (MFD) describes the relationship between the accumulation of vehicles and their trip ending rate as a function ...Conference Paper -
Mobility tools and use
(2017)In much of Switzerland, public transport offers high levels of accessibility to workplaces and other places that make season tickets legitimate substitutes for a car. These similar patterns of accessibility provided by both modes result in high levels of correlation between the accessibility measures of both modes. This correlation almost always precludes a travel behavior analysis with several accessibility measures and cannot provide ...Conference Paper -
Empirical Macroscopic Fundamental Diagrams
(2017)TRB 96th Annual Meeting Compendium of PapersThe macroscopic fundamental diagram, relating average flows and densities in an urban network, has been analyzed in some empirical studies and many simulations. It has been shown to be an efficient tool for traffic management and control or the estimation of travel times in a network. However, empirical studies remain scarce and are usually based on one single data source, such as loop detector data (LDD) or floating car data (FCD). In ...Conference Paper -
Network features and MFD parameters
(2017)While there is a well-studied body of literature on the relationship between the built environment and travel behavior, the relationship between the built environment and the performance of urban road networks is less understood. Macroscopic traffic models, such as the macroscopic fundamental diagram (MFD), model the response of the transport system to travel demand. Many macroscopic models try to establish a functional relationship between ...Conference Paper -
Performance of dynamic urban traffic allocation
(2017)Citizens are increasingly sharing their location and movements through‘check-ins’ on location based social networks (LBSNs). These services are collecting unprecedented amounts of big data that can be used to study how we travel and interact with our environment. This paper will present the development of a destination choice model for Ontario, Canada which uses data from Foursquare, the largest LBSN to model destination attractiveness. ...Conference Paper