[HTML][HTML] How machine learning informs ride-hailing services: A survey

Y Liu, R Jia, J Ye, X Qu - Communications in Transportation Research, 2022 - Elsevier
In recent years, online ride-hailing services have emerged as an important component of
urban transportation system, which not only provide significant ease for residents' travel …

[HTML][HTML] An overview of public transport reliability studies using a bibliometric analysis

MA Alkubati, NA Khalifa, HA Al-barakani - Ain Shams engineering journal, 2023 - Elsevier
Reliability in public transport is considered one of the most critical features to evaluate the
service quality from the perspective of passengers, operators, and the community. Several …

[HTML][HTML] How to split the costs and charge the travellers sharing a ride? aligning system's optimum with users' equilibrium

A Fielbaum, R Kucharski, O Cats… - European Journal of …, 2022 - Elsevier
Emerging on-demand sharing alternatives, in which one resource is utilised simultaneously
by a circumstantial group of users, entail several challenges regarding how to coordinate …

[HTML][HTML] Unreliability in ridesharing systems: Measuring changes in users' times due to new requests

A Fielbaum, J Alonso-Mora - Transportation Research Part C: Emerging …, 2020 - Elsevier
On-demand systems in which several users can ride simultaneously the same vehicle have
great potential to improve mobility while reducing congestion. Nevertheless, they have a …

Passenger-centric Urban Air Mobility: Fairness trade-offs and operational efficiency

M Bennaceur, R Delmas, Y Hamadi - Transportation Research Part C …, 2022 - Elsevier
Abstract Urban Air Mobility (UAM) envisions safe transportation systems that will exploit new
vertical takeoff and landing electric aircraft to transport passengers or cargo within urban …

Optimizing a vehicle's route in an on-demand ridesharing system in which users might walk

A Fielbaum - Journal of Intelligent Transportation Systems, 2022 - Taylor & Francis
Within the context of a shared on-demand transport system, we study the problem of
selecting the stopping points from which passengers should walk to their exact destinations …

[HTML][HTML] An instance-based learning approach for evaluating the perception of ride-hailing waiting time variability

N Geržinič, O Cats, N van Oort… - Travel Behaviour and …, 2023 - Elsevier
Understanding user's perception of service variability is essential to discern their overall
perception of any type of (transport) service. We study the perception of waiting time …

[HTML][HTML] Anticipatory routing methods for an on-demand ridepooling mobility system

A Fielbaum, M Kronmueller, J Alonso-Mora - Transportation, 2022 - Springer
On-demand mobility systems in which passengers use the same vehicle simultaneously are
a promising transport mode, yet difficult to control. One of the most relevant challenges …

Demand-responsive transport for students in rural areas: A case study in vulkaneifel, germany

C Lu, M Maciejewski, H Wu, K Nagel - … Research Part A: Policy and Practice, 2023 - Elsevier
In rural areas with low population density, demand-responsive transport (DRT) is considered
a promising alternative to conventional public transport (PT). With a fleet of smaller vehicles …

Supporting user experience of shared automated mobility on-demand through novel virtual infrastructure: Making the case for virtual stops

F Hub, M Oehl, T Hesse, K Seifert - International Journal of Human …, 2023 - Elsevier
Sustainable and connected mobility concepts for the future are increasingly sought-after.
Among many factors, providing high service quality is key to their commercial success. In …