Mobile phone data

Mobility Signatures: A Tool for Characterizing Cities Using Intercity Mobility Flows

Understanding the patterns of human mobility between cities has various applications from transport engineering to spatial modeling of the spreading of contagious diseases. We adopt a city-centric, data-driven perspective to quantify such patterns …

A Traffic Control Approach Based on Multi-Source Data Fusion

A multi-source data-driven traffic control approach is developed to alleviate traffic overload at bottleneck road segments. In the proposed approach, the high-penetration feature of mobile-phone signalling data and the real-time feature of taxi …

Modeling real-time human mobility based on mobile phone and transportation data fusion

Faced with severe traffic congestions, the level of traffic planning and organization has been paid much attention. As a crucial and fundamental data for traffic planning and traffic organization, travel demand has been an important research topic …

Driver source prediction

Driver source prediction and visualization

Design, analysis and optimization of connected vehicle network

Using mobile phone data to solve the traffic problem is an important application of social computing. In this paper, we used large-scale mobile phone data to estimate dynamical traffic demand and modeled the Internet of Vehicles information network, …

Driver source prediction and visualization system based on mobile phone data

With the development of urbanization never seen before, the condition of traffic congestion, transit service quality and mergency response capability become more severe. Existing research and engineering practice tend to focus on the analysis and control of phenomena, but lack of probing the underlying causes of the problem.The rise of big data and the proposed source prediction methods provide an important foundation for analysis of the traffic problems’ underlying causes and solving the traffic problems from the source.