18 citations · 39 across the 7 of their papers we have counts for
7 papers
"Is not the truth the truth?": Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-based Surveys
Valentino Servizi., Dan R. Persson, Francisco C. Pereira +4
Passenger flow allows the study of users' behavior through the public network and assists in designing new facilities and services. This flow is observed through interactions betwe…
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…
Modeling Censored Mobility Demand through Quantile Regression Neural Networks
Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues +1
Shared mobility services require accurate demand models for effective service planning. On the one hand, modeling the full probability distribution of demand is advantageous becaus…
On the Quality Requirements of Demand Prediction for Dynamic Public Transport
Inon Peled, Kelvin Lee, Yu Jiang +2
As Public Transport (PT) becomes more dynamic and demand-responsive, it increasingly depends on predictions of transport demand. But how accurate need such predictions be for effec…
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…