Human mobility

Understanding individual and collective human mobility patterns in twelve crowding events occurred in Shenzhen

Crowding events, which pose tremendous pressure to city management and society safety, are a typical manifestation of anomalous human mobility in metropolitan areas. However, we are still lacking a comprehensive understanding of the anomalous human …

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 …

Research on Evolution of Large Passenger Flow in Urban Metro Based on Anomalous Mobility Network

In order to reveal the evolutionary mechanism of large passenger flow in urban metro, this paper introduces the concept of anomalous mobility network. Complex network analysis is used to study the structural complexity and dynamic evolution of …

Identification and Prediction of Large Crowd Gatherings based on Transportation Big Data

In recent years, with the rapid development of China’s economy and the rapid increase of urban population, the imbalance between supply and demand becomes more notable as various commercial and entertainment activities attract large crowds in urban areas. Although large-scale activities can bring substantial economic benefits to the city and satisfy the spiritual needs of the people, they will also bring tremendous pressure on the transportation facilities around the activity area, leading to negative impacts such as chaotic safety management, traffic congestion.

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 …

Advanced ITS with data fusion

Build more efficient intelligent transportation system using data fusion technology

Driver source prediction

Driver source prediction and visualization

Urban mobility pattern analysis

Data-driven approach to understand urban mobility pattern

Predicting subway passenger flows under different traffic conditions

Passenger flow prediction is important for the operation, management, efficiency, and reliability of urban rail transit (subway) system. Here, we employ the large-scale subway smartcard data of Shenzhen, a major city of China, to predict dynamical …

Understanding coupling dynamics of public transportation networks

Subway and bus networks work as an integrated multiplex transportation system and play an indispensable role in modern big cities. Even though a variety of works have investigated the coupling dynamics of multiplex transportation networks, empirical …