Modelling and Assessment of an Autonomous Ride-Sharing Service’s Urban Utilization: Case Study - Rotterdam

Increasing demand for passenger services in densely populated urban environments, are currently covered overwhelmingly by private vehicles. Their impact on CO2 emission, present a serious obstacle to the reduction objectives, in the Netherlands alone the target of 45% by 2030, for limiting the global warming to 1.5°C degrees. Autonomous Vehicles...

The effects of pricing and service configurations on a ride-pooling service with pick-up and drop-off points

Ride-pooling is a key concept for the future of human mobility and vital in the roll-out of Mobility-as-a-Service (MaaS). Pooling allows individuals to travel at a reduced fare (when comparing to a private alternative) due to the reduction in operating costs as the usage of the vehicles is increased; essentially, the main intentions of pooling...

A Scheduling Model for Aerial Ride-Sharing Operations: with Limited Infrastructure Capacity

Following the advent of drones for surveillance and cargo delivery purposes, advancements in recent years have also been made towards the development of larger drones for passenger transport. The concept of Urban Air Mobility (UAM) prospects to offer ride-sharing services within and between cities. While trip scheduling and vehicle routing...

Effect of behavioral and service attributes and distribution of demand on ride-sharing efficiency and level of service

Previous studies on ride-sharing potential have neglected that ride-sharing choice considers a trade-off of disbenefits with a financial reward. This study considers delays and psychological discomfort related to sharing a vehicle as the main ride-sharing costs. Next to finding how these (possibly heterogeneous) behavioral preferences and the...