18 citations · 18 across the 2 of their papers we have counts for
4 papers
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues +1
Electric vehicles can offer a low carbon emission solution to reverse rising emission trends. However, this requires that the energy used to meet the demand is green. To meet this…
QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters
Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo +1
Current data-driven traffic prediction models are usually trained with large datasets, e.g. several months of speeds and flows. Such models provide very good fit for ordinary road…
Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes
Daniele Gammelli, Inon Peled, Filipe Rodrigues +3
Transport demand is highly dependent on supply, especially for shared transport services where availability is often limited. As observed demand cannot be higher than available sup…
Online Predictive Optimization Framework for Stochastic Demand-Responsive Transit Services
Inon Peled, Kelvin Lee, Yu Jiang +2
This study develops an online predictive optimization framework for dynamically operating a transit service in an area of crowd movements. The proposed framework integrates demand…