Ride-hailing origin-destination demand prediction with spatiotemporal information fusion

PrivateRide: A Privacy-Enhanced Ride-Hailing Service

In the past few years, we have witnessed a rise in the popularity of ride-hailing services (RHSs), an online marketplace that enables accredited drivers to use their own cars to drive ride-hailing users. Unlike other transportation services, RHSs raise significant privacy concerns, as providers are able to track the precise mobility patterns of millions of riders worldwide. We present the first...

An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service

In this paper, we present machine learning approaches for characterizing and forecasting the short-term demand for on-demand ride-hailing services. We propose the spatio-temporal estimation of the demand that is a function of variable effects related to traffic, pricing and weather conditions. With respect to the methodology, a single decision tree, bootstrap-aggregated (bagged) decision trees,...

ORide: A Privacy-Preserving yet Accountable Ride-Hailing Service

In recent years, ride-hailing services (RHSs) have become increasingly popular, serving millions of users per day. Such systems, however, raise significant privacy concerns, because service providers are able to track the precise mobility patterns of all riders and drivers. In this paper, we propose ORide (Oblivious Ride), a privacypreserving RHS based on somewhat-homomorphic encryption with op...

Estimation of Pedestrian Origin-Destination Demand in Train Stations

Dynamic Origin - Destination Demand Flow Estimation under Congested Traffic Conditions

This paper presents a single-level nonlinear optimization model to estimate dynamic origindestination (OD) demand. A path flow-based optimization model, which incorporates heterogeneous sources of traffic measurements and does not require explicit dynamic link-path incidences, is developed to minimize (i) the deviation between observed and estimated traffic states and (ii) the deviation between...