Idle vehicle relocation strategy through deep learning for shared autonomous electric vehicle system optimization

S Kim, U Lee, I Lee, N Kang - Journal of Cleaner Production, 2022 - Elsevier
In optimization of a shared autonomous electric vehicle (SAEV) system, idle vehicle
relocation strategies are important to reduce operation costs and customers' wait time …

Effectiveness of demand and fulfillment control in dynamic fleet management of ride‐sharing systems

J Haferkamp, JF Ehmke - Networks, 2022 - Wiley Online Library
In recent years, innovative ride‐sharing systems have gained significant attention. In such
systems, dynamic fleet management covers demand and fulfillment control to determine …

[HTML][HTML] Combining value function approximation and multiple scenario approach for the effective management of ride-hailing services

RJO Heitmann, N Soeffker, MW Ulmer… - EURO Journal on …, 2023 - Elsevier
The availability of various services for individual mobility is increasing, especially in urban
areas. Dynamic ride-hailing services address these aspects and are gaining market share …

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 …

Adaptive forecast-driven repositioning for dynamic ride-sharing

M Pouls, N Ahuja, K Glock, A Meyer - Annals of Operations Research, 2022 - Springer
In dynamic ride-sharing systems, intelligent repositioning of idle vehicles often improves the
overall performance with respect to vehicle utilization, request rejection rates, and customer …

Dynamic pricing mechanism design for electric mobility-on-demand systems

L Ni, B Sun, S Wang, DHK Tsang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the popularization of ride-sharing transportation and increasing penetration of electric
vehicles (EVs) in recent years, the electric mobility-on-demand (EMoD) system is emerging …

Density based distribution model for repositioning strategies of ride hailing services

AA Syed, F Dandl, B Kaltenhäuser… - Frontiers in Future …, 2021 - frontiersin.org
Ride hailing (RH) services have become a common mode of transportation in the last
decade. Usually, statistical tools are used to improve their performance, whereby the tools …

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 …

Auxiliary Network Enhanced Hierarchical Graph Reinforcement Learning for Vehicle Repositioning

J Xi, F Zhu, P Ye, Y Lv, G Xiong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Affected by people's dynamic social activities, the imbalance between vehicle supply and
demand in the Mobility-On-Demand (MOD) system is a common phenomenon. To improve …

Spatial data management for green mobility

C Claramunt, C Bassem, D Zeinalipour-Yazti… - Proceedings of the 31st …, 2023 - dl.acm.org
While many countries are developing appropriate actions towards a greener future and
moving towards adopting sustainable mobility activities, the real-time management and …