[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 …

Data-driven robust optimization for contextual vehicle rebalancing in on-demand ride services under demand uncertainty

Z Guo, B Yu, W Shan, B Yao - Transportation Research Part C: Emerging …, 2023 - Elsevier
The rebalancing of idle vehicles is critical to mitigating the supply–demand imbalance in on-
demand ride services. Motivated by a ride service platform, this paper investigates a short …

Hmdrl: Hierarchical mixed deep reinforcement learning to balance vehicle supply and demand

J Xi, F Zhu, P Ye, Y Lv, H Tang… - IEEE Transactions On …, 2022 - ieeexplore.ieee.org
The imbalance of vehicle supply and demand is a common phenomenon that influences the
efficiency of online ride-hailing systems greatly. To address this problem, a three-level …

Heatmap-based decision support for repositioning in ride-sharing systems

J Haferkamp, MW Ulmer… - Transportation Science, 2024 - pubsonline.informs.org
In ride-sharing systems, platform providers aim to distribute the drivers in the city to meet
current and potential future demand and to avoid service cancellations. Ensuring such …

Efficient operation of demand-responsive transport (DRT) systems: Active requests rejection

C Lu, S Tiwari, N Nassir, K Nagel - Procedia Computer Science, 2024 - Elsevier
Demand-responsive transport (DRT) is getting more attention in the public sectors. In DRT
systems operated by public sectors, providing a good and equal service to the public is more …

[PDF][PDF] Testing request prioritization strategies to improve the quality of a shared autonomous vehicles service: a Melbourne case study

S Tiwari, N Nassir, PS Lavieri - Australasian …, 2023 - australasiantransportresearchforum …
Shared autonomous vehicles (SAVs) have the potential to revolutionize urban transport by
offering a mobility service that combines the benefits of autonomous vehicles and ride …

Competition of ride-hailing platforms in the era of autonomous vehicles: Heavy or light asset?

X Wang, X Lin, M Li, Z Xu, K Zhang - Transportation Research Part C …, 2024 - Elsevier
Business modes of ride-hailing services in the era of autonomous vehicles (AVs) could be
vastly different from those of current human vehicles (HVs). In addition to the asset-heavy …

[PDF][PDF] MATHEMATICAL MODEL OF A RAILROAD GRAIN CARGO RIDESHARING SERVICE IN THE FORM OF COALITIONS IN CONGESTION GAMES.

M Kravchenko, A Prokhorchenko… - … -European Journal of …, 2023 - pdfs.semanticscholar.org
The field of practical application of the results is the rail road industry. The conditions for the
practical application of the research results are the importance of implementing digital plat …

[PDF][PDF] Demand management and vehicle routing in dynamic ride-sharing systems

J Haferkamp - 2023 - opendata.uni-halle.de
Ride-sharing systems contribute to the transition from private cars to a more sustainable
utilization of urban traffic infrastructure. To use such systems, travelers indicate their origin …

Inteligencia artificial y autoaprendizaje para la mejora de modelos predictivos: caso de estudio con el índice S&P500

S Murillo Ospina - repositorio.unal.edu.co
La realización de pronósticos precisos es crucial en la sociedad y en la ciencia, debido a
que permiten anticipar tendencias y comprender el impacto de las variables consideradas …