Operational benefits and challenges of shared-ride automated mobility-on-demand services

M Hyland, HS Mahmassani - Transportation Research Part A: Policy and …, 2020 - Elsevier
This paper presents a quantitative analysis of the operations of shared-ride automated
mobility-on-demand services (SRAMODS). The study identifies (i) operational benefits of …

Optimizing ride-sharing operations in smart sustainable cities: Challenges and the need for agile algorithms

LC Martins, R de la Torre, CG Corlu, AA Juan… - Computers & Industrial …, 2021 - Elsevier
Mobility solutions like ride-sharing and carpooling are becoming popular in many urban and
metropolitan areas around the globe. These solutions, however, create many operational …

Carsharing services in sustainable urban transport: An inclusive science map of the field

ZS Esfandabadi, M Diana, MC Zanetti - Journal of Cleaner Production, 2022 - Elsevier
Vehicle sharing, electrification, and automation, as the triple revolutions in urban
transportation, have been under debate towards a new transport paradigm. In this regard …

Robust matching-integrated vehicle rebalancing in ride-hailing system with uncertain demand

X Guo, NS Caros, J Zhao - Transportation Research Part B: Methodological, 2021 - Elsevier
With the rapid growth of the mobility-on-demand (MoD) market in recent years, ride-hailing
companies have become an important element of the urban mobility system. There are two …

Approximate dynamic programming for planning a ride-hailing system using autonomous fleets of electric vehicles

L Al-Kanj, J Nascimento, WB Powell - European Journal of Operational …, 2020 - Elsevier
We address a comprehensive ride-hailing system taking into account many of the decisions
required to operate it in reality. The ride-hailing system is formed of a centrally managed …

Electric vehicle fleet size for carsharing services considering on-demand charging strategy and battery degradation

M Xu, T Wu, Z Tan - Transportation Research Part C: Emerging …, 2021 - Elsevier
This study addresses the tactical electric vehicle fleet size (EVFS) problem faced by
carsharing service (CSS) providers while considering the operational vehicle assignment …

Crowdshipping by employees of distribution centers: Optimization approaches for matching supply and demand

N Boysen, S Emde, S Schwerdfeger - European Journal of Operational …, 2022 - Elsevier
Seeing the huge success of sharing platforms such as Uber, Lyft, and Airbnb, where owners
of under-used assets are connected with users willing to pay for the use of these assets, it is …

Smart and sustainable city logistics: Design, consolidation, and regulation

P Fontaine, S Minner, M Schiffer - European Journal of Operational …, 2023 - Elsevier
Growing e-commerce delivery increases traffic congestion and demands for smart last-mile
city distribution systems. In this context, municipalities and logistics service providers aim …

Exploring human mobility for multi-pattern passenger prediction: A graph learning framework

X Kong, K Wang, M Hou, F Xia… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traffic flow prediction is an integral part of an intelligent transportation system and thus
fundamental for various traffic-related applications. Buses are an indispensable way of …

Shared resources in collaborative vehicle routing

M Gansterer, RF Hartl - Top, 2020 - Springer
The logistics industry is known to suffer from inefficiencies. Recently published numbers on
the percentage of trucks running idle or almost idle on European road networks are …