ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2401.12108
  4. Cited By
On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using
  Streaming Data

On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data

22 January 2024
Jeremias Dötterl
Ralf Bruns
J. Dunkel
Sascha Ossowski
ArXiv (abs)PDFHTML

Papers citing "On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data"

3 / 3 papers shown
Title
Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported
  Coordination of Mobile Crowdsourcing
Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile Crowdsourcing
Ralf Bruns
Jeremias Dötterl
J. Dunkel
Sascha Ossowski
16
4
0
23 Jan 2024
Multi-Tier Adaptive Memory Programming and Cluster- and Job-based
  Relocation for Distributed On-demand Crowdshipping
Multi-Tier Adaptive Memory Programming and Cluster- and Job-based Relocation for Distributed On-demand Crowdshipping
T. Ahamed
Bo Zou
21
1
0
14 May 2021
Deep Reinforcement Learning for Crowdsourced Urban Delivery: System
  States Characterization, Heuristics-guided Action Choice, and
  Rule-Interposing Integration
Deep Reinforcement Learning for Crowdsourced Urban Delivery: System States Characterization, Heuristics-guided Action Choice, and Rule-Interposing Integration
T. Ahamed
Bo Zou
Nahid Parvez Farazi
Theja Tulabandhula
27
4
0
29 Nov 2020
1