Results 31 to 40 of about 10,796,113 (314)
Beyond the Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability
IEEE Transactions on Knowledge and Data Engineering, 2023 Urban human mobility prediction is forecasting how people move in cities. It is crucial for many smart city applications including route optimization, preparing for dramatic shifts in modes of transportation, or mitigating the epidemic spread of viruses ...
Chao Zhang, Kai Zhao, Meng Chen
semanticscholar +1 more source
Experimental Study on Different Types of Curves for Ride Comfort in Automated Vehicles
Journal of Advanced Transportation, 2021 Vehicle automation is among the best possible solutions for traffic issues, including traffic accidents, traffic jams, and energy consumption. However, the user acceptance of automated vehicles is critical and is affected by riding comfort.
Naohisa Hashimoto +2 more
doaj +1 more source
Investigating Bimodal Clustering in Human Mobility [PDF]
, 2009 We apply a simple clustering algorithm to a large dataset of cellular telecommunication records, reducing the complexity of mobile phone users' full trajectories and allowing for simple statistics to characterize their properties.
Bagrow, James P., Koren, Tal
core +1 more source
Population, Space and Place, 2022 Existing empirical work has focused on assessing the effectiveness of nonpharmaceutical interventions on human mobility to contain the spread of COVID‐19.
Francisco Rowe +4 more
semanticscholar +1 more source
Age-related effects of executive function on takeover performance in automated driving
Scientific Reports, 2022 The development of highly automated vehicles can meet elderly drivers’ mobility needs; however, worse driving performance after a takeover request (TOR) is frequently found, especially regarding non-driving related tasks (NDRTs).
Qijia Peng +3 more
doaj +1 more source
Predicting human mobility through the assimilation of social media traces into mobility models [PDF]
, 2016 Predicting human mobility flows at different spatial scales is challenged by the heterogeneity of individual trajectories and the multi-scale nature of transportation networks.
Beiró, M. G. +3 more
core +3 more sources
European Journal of Public Health, 2021 Abstract The COVID-19 pandemic has confronted health systems with extraordinary changes in demand for health services, which magnified underlying disparities in the health workforce. Initial health workforce capacities were critical, as health systems only have two options to increase workforce level: increasing capacity among the ...
G Williams, M Karanikolos
openaire +1 more source
Correlations and Scaling Laws in Human Mobility [PDF]
, 2013 Human mobility patterns deeply affect the dynamics of many social systems. In this paper, we empirically analyze the real-world human movements based GPS records, and observe rich scaling properties in the temporal-spatial patterns as well as an abnormal
Han, Xiao-Pu +2 more
core +3 more sources
Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review [PDF]
IEEE Access, 2021 The ongoing COVID-19 global pandemic is touching every facet of human lives (e.g., public health, education, economy, transportation, and the environment).
Md. Mokhlesur Rahman +5 more
semanticscholar +1 more source
International Journal of Environmental Research and Public Health, 2021 Social distancing policies have been regarded as effective in containing the rapid spread of COVID-19. However, there is a limited understanding of policy effectiveness from a spatiotemporal perspective. This study integrates geographical, demographical,
Yun Li +7 more
semanticscholar +1 more source