Cristian Poliziani
Datos Biográficos
| ID | 6490731 |
|---|---|
| NOMBRE | Cristian Poliziani |
| NOMBRES | Cristian |
| APELLIDO | Poliziani |
| FIRMA | POLIZIANI C |
| AFILIACIONES | Lawrence Berkeley National Laboratory |
| ORCID | 0000-0002-7646-1394 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2021 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Traffic, air quality, and health impacts resulting from transport interventions using a regional-scale agent-based transportation system model
Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure
Disease surveillance systems allow public health agencies to respond to emerging diseases before they become widespread. Developing such systems requires identifying optimal ways to monitor in the context of an epidemic outbreak; this problem is known as sensor selection. Contact networks represent the dynamics of interaction in a population and are used to model how a disease spreads in a population and to explore strategies of sensor selection.…
Micro Transit Simulation of On-Demand Shuttles Based on Transit Data for First- and Last-Mile Connection
We simulate the introduction of shared, automated, and electric vehicles (SAEVs) providing on-demand shuttles service in a large-scale transport digital twin of the San Francisco Bay Area region (California, USA) based on transit supply and demand data, and using the mesoscopic agent-based Behavior, Energy, Autonomy, and Mobility beta software (BEAM) developed at the Lawrence Berkeley National Laboratory (LBNL). The main goal of this study is to …
Nonparametric Regression Analysis of Cyclist Waiting Times across Three Behavioral Typologies
This paper seeks to predict the average waiting time, defined as the time spent moving at 1 ms−1 or less, of urban bicyclists during rush hours while performing different maneuvers at intersections. Individual predictive models are built for the three cyclist typologies previously identified on a large database of GPS traces recorded in the city of Bologna, Italy. Individual models are built for the three cyclist typologies and bootstrapping has …
Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data
A large-scale agent-based microsimulation scenario including the transport modes car, bus, bicycle, scooter, and pedestrian, is built and validated for the city of Bologna (Italy) during the morning peak hour. Large-scale microsimulations enable the evaluation of city-wide effects of novel and complex transport technologies and services, such as intelligent traffic lights or shared autonomous vehicles. Large-scale microsimulations can be seen as …
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Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data
A large-scale agent-based microsimulation scenario including the transport modes car, bus, bicycle, scooter, and pedestrian, is built and validated for the city of Bologna (Italy) during the morning peak hour. Large-scale microsimulations enable the evaluation of city-wide effects of novel and complex transport technologies and services, such as intelligent traffic lights or shared autonomous vehicles. Large-scale microsimulations can be seen as …
Nonparametric Regression Analysis of Cyclist Waiting Times across Three Behavioral Typologies
This paper seeks to predict the average waiting time, defined as the time spent moving at 1 ms−1 or less, of urban bicyclists during rush hours while performing different maneuvers at intersections. Individual predictive models are built for the three cyclist typologies previously identified on a large database of GPS traces recorded in the city of Bologna, Italy. Individual models are built for the three cyclist typologies and bootstrapping has …
Micro Transit Simulation of On-Demand Shuttles Based on Transit Data for First- and Last-Mile Connection
We simulate the introduction of shared, automated, and electric vehicles (SAEVs) providing on-demand shuttles service in a large-scale transport digital twin of the San Francisco Bay Area region (California, USA) based on transit supply and demand data, and using the mesoscopic agent-based Behavior, Energy, Autonomy, and Mobility beta software (BEAM) developed at the Lawrence Berkeley National Laboratory (LBNL). The main goal of this study is to …
Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure
Disease surveillance systems allow public health agencies to respond to emerging diseases before they become widespread. Developing such systems requires identifying optimal ways to monitor in the context of an epidemic outbreak; this problem is known as sensor selection. Contact networks represent the dynamics of interaction in a population and are used to model how a disease spreads in a population and to explore strategies of sensor selection.…
Traffic, air quality, and health impacts resulting from transport interventions using a regional-scale agent-based transportation system model
Computer Science (4 obras) · Transportation Planning and Optimization (4 obras) · Engineering (3 obras) · Geography (3 obras) · Transport engineering (3 obras) · Global Positioning System (2 obras) · Telecommunications (2 obras) · Traffic control and management (2 obras) · Transportation and Mobility Innovations (2 obras) · Urban Transport and Accessibility (2 obras)