Location deployment of depots and resource relocation for connected car-sharing systems through mobile edge computing
Mobile edge computing supports the connected cars to ensure real-time, interactive, secured, and distributed services for customers. Connected car-sharing systems, as the promising appliance of connected cars, provide a convenient transportation mode for citizens’ intra-urban commutes. Determining t...
Saved in:
| Main Authors: | Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-06-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717711621 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-Depot Pickup and Delivery Problem with Resource Sharing
by: Yong Wang, et al.
Published: (2021-01-01) -
Recurrent Neural-Based Vehicle Demand Forecasting and Relocation Optimization for Car-Sharing System: A Real Use Case in Thailand
by: Peerapon Vateekul, et al.
Published: (2021-01-01) -
Relocation Optimization for Shared Electric Vehicles: A Literature Review
by: Ye Zou, et al.
Published: (2025-02-01) -
Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment
by: Muhammad Hannan Akhtar, et al.
Published: (2025-04-01) -
Resource Management Across Edge Server in Mobile Edge Computing
by: Saifur Rahman, et al.
Published: (2024-01-01)