Limits of Predictability for Large-Scale Urban Vehicular Mobility

A large-scale vehicular mobility dataset of the Cologne urban area

Limits of predictability in human mobility.

A range of applications, from predicting the spread of human and electronic viruses to city planning and resource management in mobile communications, depend on our ability to foresee the whereabouts and mobility of individuals, raising a fundamental question: To what degree is human behavior predictable? Here we explore the limits of predictability in human dynamics by studying the mobility pa...

On the Topology of a Large-scale Urban Vehicular Network

Despite the growing interest in a real-world deployment of vehicle-to-vehicle communication, the topological features of the resulting vehicular network remain largely unknown. We lack a clear understanding of the level of connectivity achievable in large-scale scenarios, the availability and reliability of connected multi-hop paths, or the impact of daytime. In this paper, we adopt a complex n...

Local Optimization Strategies in Urban Vehicular Mobility

The comprehension of vehicular traffic in urban environments is crucial to achieve a good management of the complex processes arising from people collective motion. Even allowing for the great complexity of human beings, human behavior turns out to be subject to strong constraints--physical, environmental, social, economic--that induce the emergence of common patterns. The observation and under...

The Structure and Traffic Flow Anatomy of the Planet-Scale Urban Vehicular Mobility

A data-driven realistic design and evaluation of vehicular mobility has been particularly challenging due to a lack of large-scale real-world measurements in the research community. Current research methodologies rely on artificial scenarios, random connectivity, and use small and biased samples. In this paper, we perform a combined study to learn the structure and connectivity of urban streets...