[HTML][HTML] An integrated ride-matching and vehicle-rebalancing model for shared mobility on-demand services
K Tuncel, HN Koutsopoulos, Z Ma - Computers & Operations Research, 2023 - Elsevier
Shared mobility on demand (MoD) services are receiving increased attention as many high-
volume ride-hailing companies are offering shared services (eg UberPool, LyftLine) at an …
volume ride-hailing companies are offering shared services (eg UberPool, LyftLine) at an …
The impact of ride-hail surge factors on taxi bookings
We study the role of ride-hailing surge factors on the allocative efficiency of taxis by
combining a reduced-form estimation with structural analyses using machine-learning …
combining a reduced-form estimation with structural analyses using machine-learning …
[HTML][HTML] Effects of autonomous first-and last mile transport in the transport chain
In this paper we explore user preferences with respect to autonomous shuttle buses when
these operate as a first/last mile feeder mode to the main public transport system. We …
these operate as a first/last mile feeder mode to the main public transport system. We …
Expected service dimensions and service levels for paratransit considering future mobility needs in emerging countries
D Pandit, D Sharma - Transportation Research Part A: Policy and Practice, 2022 - Elsevier
In emerging countries, flexible transport systems (FTS) are mostly informal and are provided
by individual paratransit operators/drivers. These services are largely unregulated thus …
by individual paratransit operators/drivers. These services are largely unregulated thus …
Ride-pooling services with differentiated pooling sizes under endogenous congestion effect
This paper analytically examines the ride-pooling market equilibrium under a single or
multiple ride-pooling service (s) considering different pooling sizes (number of riders sharing …
multiple ride-pooling service (s) considering different pooling sizes (number of riders sharing …
A distributed algorithm for operating large-scale ridesourcing systems
With ridesourcing services gaining popularity in the past few years, there has been growing
interest in algorithms that could enable real-time operation of these systems. As ridesourcing …
interest in algorithms that could enable real-time operation of these systems. As ridesourcing …
A Survey of Machine Learning-Based Ride-Hailing Planning
D Wen, Y Li, FCM Lau - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Ride-hailing is a sustainable transportation paradigm where riders access door-to-door
traveling services through a mobile phone application, which has attracted a colossal …
traveling services through a mobile phone application, which has attracted a colossal …
A Survey of Machine Learning-Based Ride-Hailing Planning
D Wen, Y Li, F Lau - arXiv preprint arXiv:2303.14646, 2023 - arxiv.org
Ride-hailing is a sustainable transportation paradigm where riders access door-to-door
traveling services through a mobile phone application, which has attracted a colossal …
traveling services through a mobile phone application, which has attracted a colossal …
Using spatio‐temporal deep learning for forecasting demand and supply‐demand gap in ride‐hailing system with anonymised spatial adjacency information
To reduce passenger waiting time and driver search friction, ride‐hailing companies need to
accurately forecast spatio‐temporal demand and supply‐demand gap. However, due to …
accurately forecast spatio‐temporal demand and supply‐demand gap. However, due to …
Multi-objective and blockchain based optimization algorithm for fleet sharing management
R Bhardwaj, S Garg - OPSEARCH, 2024 - Springer
With the rise in the demand for the fleet in today's time even for covering a small distance,
taxis play a crucial role not only in terms of ease in traveling but also in generating profit …
taxis play a crucial role not only in terms of ease in traveling but also in generating profit …