ForETaxi: data-driven fleet-oriented charging resource allocation in large-scale electric taxi networks
Charging processes are the key to promoting electric taxis and improving their operational
efficiency due to frequent charging activities and long charging time. Nevertheless …
efficiency due to frequent charging activities and long charging time. Nevertheless …
Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors
Electrifying taxi fleets represents a significant step towards a sustainable urban
transportation system. However, there is a current gap in our comprehensive understanding …
transportation system. However, there is a current gap in our comprehensive understanding …
A Survey of Machine Learning-Based Ride-Hailing Planning
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 …
End-to-End One-Shot Path-Planning Algorithm for an Autonomous Vehicle Based on a Convolutional Neural Network Considering Traversability Cost
Path planning plays an important role in navigation and motion planning for robotics and
automated driving applications. Most existing methods use iterative frameworks to calculate …
automated driving applications. Most existing methods use iterative frameworks to calculate …
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 …
Fairness-Aware Electric Taxi Fleet Coordination Under Short-Term Power System Failures
Power outages and shortages, among other disruptive events, can markedly diminish the
charging efficiency of EV fleets, eg, e-taxis, and compromise their service quality. This paper …
charging efficiency of EV fleets, eg, e-taxis, and compromise their service quality. This paper …
Capacity Planning for Vehicular Fog Computing
W Mao - 2023 - aaltodoc.aalto.fi
The strict latency constraints of emerging vehicular applications make it unfeasible to
forward sensing data from vehicles to the cloud for processing. Fog computing shortens the …
forward sensing data from vehicles to the cloud for processing. Fog computing shortens the …
Research on key technologies for connected vehicle autonomous driving based on 5G big data
J Zhou, J Liu - Applied Mathematics and Nonlinear Sciences, 2024 - sciendo.com
In recent years, with the improvement of computers, automation, and communication
technologies, autonomous driving has developed rapidly and has become a research …
technologies, autonomous driving has developed rapidly and has become a research …
Coordinated Charging and Dispatching for Large-Scale Electric Taxi Fleets Based on Bi-Level Spatiotemporal Optimization
Y Lyu, N Wang, H Tian - 2024 - sae.org
The operation management of electric Taxi fleets requires cooperative optimization of
Charging and Dispatching. The challenge is to make real-time decisions about which is the …
Charging and Dispatching. The challenge is to make real-time decisions about which is the …