Search Results - "Ukkusuri, Satish"

Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic by Yabe, Takahiro, Tsubouchi, Kota, Fujiwara, Naoya, Wada, Takayuki, Sekimoto, Yoshihide, Ukkusuri, Satish V.

“…While large scale mobility data has become a popular tool to monitor the mobility patterns during the COVID-19 pandemic, the impacts of non-compulsory measures…”
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Estimation of real-driving emissions for buses fueled with liquefied natural gas based on gradient boosted regression trees by Pan, Yingjiu, Chen, Shuyan, Qiao, Fengxiang, Ukkusuri, Satish V., Tang, Kun

“…Nowadays, more and more conventional diesel buses are being replaced by new-energy buses in many cities in China. Although new-energy buses are more…”
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A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data by Bao, Jie, Liu, Pan, Ukkusuri, Satish V.

“…•We propose a spatiotemporal deep learning architecture to predict the citywide short-term crash risk.•The proposed architecture can explore both the spatial…”
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Connecting urban transportation systems with the spread of infectious diseases: A Trans-SEIR modeling approach by Qian, Xinwu, Ukkusuri, Satish V.

“…•Developed the Trans-SEIR model to understand the transmission of infectious diseases through travel and activity contagion in urban areas.•Established…”
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On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) by Mondal, Washim Uddin, Agarwal, Mridul, Aggarwal, Vaneet, Ukkusuri, Satish V

“…Journal of Machine Learning Research 23(129): 1-46, 2022 Mean field control (MFC) is an effective way to mitigate the curse of dimensionality of cooperative…”
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Effects of income inequality on evacuation, reentry and segregation after disasters by Yabe, Takahiro, Ukkusuri, Satish V.

“…[Display omitted] •Mobile phone data were used to analyze evacuation and reentry mobility patterns after Hurricane Irma.•The effects of income inequality on…”
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Location contexts of user check-ins to model urban geo life-style patterns by Hasan, Samiul, Ukkusuri, Satish V

“…Geo-location data from social media offers us information, in new ways, to understand people's attitudes and interests through their activity choices. In this…”
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Exploring cascading reliability of multi-modal public transit network based on complex networks by Zhang, Lin, Wen, Huiying, Lu, Jian, Lei, Da, Li, Shubin, Ukkusuri, Satish V.

“…•A novel model to model, measure, and control cascading failures of multi-modal public transit network is proposed.•Three types of failure load dynamic…”
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Optimal charging facility location and capacity for electric vehicles considering route choice and charging time equilibrium by Chen, Rui, Qian, Xinwu, Miao, Lixin, Ukkusuri, Satish V.

“…•Optimal allocation of charging facilities considering capacity.•Approximation approaches to characterize waiting time.•Equilibrium analysis of charging and…”
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Urban activity pattern classification using topic models from online geo-location data by Hasan, Samiul, Ukkusuri, Satish V.

“…•Geo-location data from social media has potential for activity-travel analysis.•Identifies the limitations of geo-location data for activity-based…”
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Towards safer streets: A framework for unveiling pedestrians' perceived road safety using street view imagery by Hamim, Omar Faruqe, Ukkusuri, Satish V

“…Road safety has become a global concern but its impact in low- and middle-income countries is widespread mainly due to lack of appropriate crash database…”
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Cooperating Graph Neural Networks With Deep Reinforcement Learning for Vaccine Prioritization by Ling, Lu, Mondal, Washim Uddin, Ukkusuri, Satish V.

“…This study explores the vaccine prioritization strategy to reduce the overall burden of the pandemic when the supply is limited. Existing vaccine distribution…”
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Spatiotemporal contact density explains the disparity of COVID-19 spread in urban neighborhoods by Verma, Rajat, Yabe, Takahiro, Ukkusuri, Satish V.

“…The rapid early spread of COVID-19 in the US was experienced very differently by different socioeconomic groups and business industries. In this study, we…”
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A linear programming formulation for autonomous intersection control within a dynamic traffic assignment and connected vehicle environment by Zhu, Feng, Ukkusuri, Satish V.

“…•Develops a linear programming formulation for autonomous intersection.•It also accounts for system optimal route choice behavior.•Intersection safety is…”
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Toward data-driven, dynamical complex systems approaches to disaster resilience by Yabe, Takahiro, Rao, P Suresh C, Ukkusuri, Satish V, Cutter, Susan L

“…With rapid urbanization and increasing climate risks, enhancing the resilience of urban systems has never been more important. Despite the availability of…”
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Scalable reinforcement learning approaches for dynamic pricing in ride-hailing systems by Lei, Zengxiang, Ukkusuri, Satish V.

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Citywide Traffic Volume Estimation Using Trajectory Data by Xianyuan Zhan, Yu Zheng, Xiuwen Yi, Ukkusuri, Satish V.

“…Traffic volume estimation at the city scale is an important problem useful to many transportation operations and urban applications. This paper proposes a…”
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Post-disaster recovery policy assessment of urban socio-physical systems by Park, Sangung, Yabe, Takahiro, Ukkusuri, Satish V.

“…The post-disaster recovery system is composed of the complex interplay between physical and social infrastructures. Despite the rise of coupled physical and…”
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Online eco-routing for electric vehicles using combinatorial multi-armed bandit with estimated covariance by Chen, Xiaowei, Xue, Jiawei, Lei, Zengxiang, Qian, Xinwu, Ukkusuri, Satish V.

“…Identifying energy-efficient routes in real-time has significant implications for the energy-optimal operations of electric vehicles (EVs). This study proposes…”
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Early warning of COVID-19 hotspots using human mobility and web search query data by Yabe, Takahiro, Tsubouchi, Kota, Sekimoto, Yoshihide, Ukkusuri, Satish V.

“…COVID-19 has disrupted the global economy and well-being of people at an unprecedented scale and magnitude. To contain the disease, an effective early warning…”
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