Ujjwal Pratap - Academia.edu (original) (raw)
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Papers by Ujjwal Pratap
European Journal of Control
HAL (Le Centre pour la Communication Scientifique Directe), Jun 21, 2022
The GTL-Healthmob is an online simulation platform which aims at visualizing the population movem... more The GTL-Healthmob is an online simulation platform which aims at visualizing the population movement, simulating epidemic propagation and optimizing the mobility restrictions to limit the epidemic spread in the Grenoble metropolis. The platform takes user inputs for different epidemic and mobility control parameters and shows the results in terms of plots and heatmaps overlaid onto the map of the metropolis. The platform is being developed in the context of the ERC project Scale-FreeBack and the INRIA project Healthy-Mobility, to showcase the mobility and epidemic models, developed within the team by adapting and implementing them to the Grenoble metropolis, which can also enable policymakers to devise optimal mobility restriction policies.
HAL (Le Centre pour la Communication Scientifique Directe), Feb 3, 2022
This work studies the mobility of people in the metropolitan city Grenoble in France, building a ... more This work studies the mobility of people in the metropolitan city Grenoble in France, building a supply-demand based mobility model which captures the daily movement of people between residences and places of interests called destinations, using time schedules and gating profiles which also accommodate the possibility of imposing restrictions on mobility. The goal of this paper is to build the mobility network in Grenoble answering the three main questions (WWH): Where does mobility happen? When does it happen? How many people move? We provide methods to compute the time gating functions and different parameters for this network. Further, we identify and address the issues encountered during discretization of the continuous-time mobility model. As an application, we also study how different restrictions on the mobility effects the epidemic spread in Grenoble. Finally, we describe the online GTL-covid demonstrator which is being developed by implementing the results of this paper. It is an academic platform which can be used to simulate different scenarios of mobility and visualise its effect on epidemic spread in Grenoble area.
2020 59th IEEE Conference on Decision and Control (CDC), 2020
European Journal of Control
HAL (Le Centre pour la Communication Scientifique Directe), Jun 21, 2022
The GTL-Healthmob is an online simulation platform which aims at visualizing the population movem... more The GTL-Healthmob is an online simulation platform which aims at visualizing the population movement, simulating epidemic propagation and optimizing the mobility restrictions to limit the epidemic spread in the Grenoble metropolis. The platform takes user inputs for different epidemic and mobility control parameters and shows the results in terms of plots and heatmaps overlaid onto the map of the metropolis. The platform is being developed in the context of the ERC project Scale-FreeBack and the INRIA project Healthy-Mobility, to showcase the mobility and epidemic models, developed within the team by adapting and implementing them to the Grenoble metropolis, which can also enable policymakers to devise optimal mobility restriction policies.
HAL (Le Centre pour la Communication Scientifique Directe), Feb 3, 2022
This work studies the mobility of people in the metropolitan city Grenoble in France, building a ... more This work studies the mobility of people in the metropolitan city Grenoble in France, building a supply-demand based mobility model which captures the daily movement of people between residences and places of interests called destinations, using time schedules and gating profiles which also accommodate the possibility of imposing restrictions on mobility. The goal of this paper is to build the mobility network in Grenoble answering the three main questions (WWH): Where does mobility happen? When does it happen? How many people move? We provide methods to compute the time gating functions and different parameters for this network. Further, we identify and address the issues encountered during discretization of the continuous-time mobility model. As an application, we also study how different restrictions on the mobility effects the epidemic spread in Grenoble. Finally, we describe the online GTL-covid demonstrator which is being developed by implementing the results of this paper. It is an academic platform which can be used to simulate different scenarios of mobility and visualise its effect on epidemic spread in Grenoble area.
2020 59th IEEE Conference on Decision and Control (CDC), 2020