A5052928027- Evacuation and Crowd Dynamics
- Traffic and Road Safety
- Traffic control and management
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Urban Design and Spatial Analysis
- Crime, Deviance, and Social Control
- Urban Transport and Accessibility
- Data Visualization and Analytics
- Human-Automation Interaction and Safety
- Mobile Crowdsensing and Crowdsourcing
- Traffic Prediction and Management Techniques
- Injury Epidemiology and Prevention
- Diffusion and Search Dynamics
- Disaster Management and Resilience
- Flood Risk Assessment and Management
- Video Surveillance and Tracking Methods
- Supply Chain Resilience and Risk Management
- COVID-19 and Mental Health
- Anomaly Detection Techniques and Applications
- Autonomous Vehicle Technology and Safety
- Smart Parking Systems Research
- Diverse Approaches in Healthcare and Education Studies
- Simulation Techniques and Applications
- Sentiment Analysis and Opinion Mining
The University of Tokyo
2016-2025
Center for High Pressure Science and Technology Advanced Research
2021
Meguro Parasitological Museum
2021
University of Parma
2021
Nomura Research Institute
2021
Mitsubishi Electric (Japan)
2013
This paper presents an experimental study on pedestrian bidirectional streams and the mechanisms leading to spontaneous lane formation by examining flow formed two groups of people walking toward each other in a mock corridor. Flow ratio is changed changing group size while maintaining comparable total density. By tracking trajectories analyzing data obtained, five different phases were recognized as contributing transition from unidirectional including creation dissolution lanes. It has...
Mutual anticipation between pedestrians facilitates efficient transition to ordered flow of movement in human crowds.
Crowd accidents – defined as situations where mass gatherings of people lead to deaths or injuries have become a frequent occurrence on global scale. Given the recurring nature these accidents, it is essential that their characteristics are analyzed. To this end, an important step would be documenting records. Here, database crowd developed for period 1900–2019 through comprehensive investigation press and media reports. The analyses focus mainly temporal trends frequency injury/casualty in...
Crowds can be subject to intrinsic and extrinsic sources of risk, previous records have shown that, in the absence adequate safety measures, these risk jeopardise human lives. To mitigate risks, we propose that implementation multiple layers measures for crowds—what label The Swiss Cheese Model Crowd Safety—should become norm crowd practice. Such system incorporates a multitude protection including regulations policymaking, planning assessment, operational control, community preparedness,...
Although some experimental evidence showed that an obstacle placed in front of a door allows making people's evacuations faster, the efficacy such solution has been debated for over 15 years. Researchers are split between those who found beneficial and could not find significant difference without it. One reasons several conclusions lies variety experiments performed so far, both terms competitiveness among participants, geometrical configuration number participants. In this work, two unique...
The development of technologies for reliable tracking pedestrian trajectories in public spaces has recently enabled collecting large data sets and real-time information about the usage urban space indoor facilities by human crowds. Such an information, nevertheless, may be properly used only with aid theoretical computational tools to assess state crowd. As shown this work, traditional assessment metrics such as density flow provide a partial since it is also important understand how...
Similar to other animal groups, human crowds exhibit various collective patterns that emerge from self-organization. Recent studies have emphasized individuals anticipate their neighbours' motions seek paths in dynamical pedestrian flow. This path-seeking behaviour results deviation of pedestrians desired directions (i.e. the direct path destination). However, strategies adopt for and how individual movements impact emergent organization are poorly understood. We here show is performed...
This study investigates motion in a crowd of pedestrians walking at different speeds. Three pedestrian groups are considered (slow walkers, normal and fast walkers), we design the experimental condition by mixing walkers with either slow or to create flows speed compositions. All this experiment were instructed walk along circular course unidirectionally. Fundamental diagrams multiple regression analysis show that which particular walks is determined both local density surrounding walking....
In this work, we investigate properties of bidirectional pedestrian streams by studying different experimental datasets from multiple authors. Through the comparison a scenario where lanes naturally form with two others lane formation is either obstructed or facilitated, show relationship quantities in regard to flow ratio (or directional split). On scope, measures account for degree congestion and self-organization are introduced. The analysis results reveals that balanced case (where...
A model accounting for collisions on unsignalized crosswalks is presented.The simulation calibrated and validated using experimental data.Realistic traffic conditions were used to test the accuracy.
The evaluation of pedestrian comfortability is important for the construction and management walkable spaces. Pedestrian level-of-service (LOS), which mostly categorized by density, has been widely applied believed to be capable indicating crowd. However, there a lack evidence that physically measured LOS reflects psychological comfortability, let alone comparison between performances different candidate indicators, including velocity local densities. Here, we show walking depicts perceived...
Given the increasing urban population and frenetic mobility, understanding how individuals perceive crowding at large-scale events is crucial for effective crowd management safety. This study focuses on Tokyo Big Sight in Japan exhibitions to examine participants' perceptions of peak times, locations, local density, compare them with actual measurements. Our methodology integrated questionnaires beacon tag data. The results showed that crowded times locations aligned well (measured) data,...
In this work, we present typical challenges encountered when developing methods for controlling crowds of people (or animal swarms). We discuss which elements shall be considered and the role they play to achieve a robust control in variety conditions. particular, four different studies are reviewed, each them investigating detail important crowd steering control. More specifically synchronization, compliance, swarm) density human perception studied showing combination. Ultimately, success...
This paper presents a model to simulate non-signalized pedestrian crosswalks. Principal scope is develop tool be used by decision-makers evaluate the necessity of introducing new crosswalk and/or switching traffic light and estimate potential benefits such measure in terms Level Service. The based on empirical evidence gained during an observation crosswalk. Pedestrian motion simulated using Cellular Automata which capable dynamics at low density conditions, as observed considered scenario....
This study focuses on social pedestrian groups in public spaces and makes an effort to identify the type of relation between group members. As a first step for this identification problem, we focus dyads (i.e. 2 people groups). Moreover, as mutually exclusive categorization relations, consider domain-based approach Bugental, which precisely corresponds relations colleagues, couples, friends families, each dyad with one those relations. For purpose, use anonymized trajectory data derive set...