Title
A Sampling-based Strategy for Distributing Taxis in a Road Network for Occupancy Maximization (GIS Cup).
Abstract
We present a weighted sampling strategy for distributing a system of taxi agents on a road network. We consider a setting, in which each agent operates independently, following a prescribed strategy based on historical data. Furthermore, customer requests appear dynamically and are assigned to the closest unoccupied taxi agent. We demonstrate that in this setting a simple sampling strategy based on the spatial distribution of historical data performs well in minimizing the average time that agents are unoccupied. The strategy is evaluated on taxi trip data in Manhattan and compared to various, more complex strategies.
Year
DOI
Venue
2019
10.1145/3347146.3363348
SIGSPATIAL/GIS
Keywords
Field
DocType
trajectories, taxi routing, multi-agent system, GIS Cup, dynamic scheduling, dial-a-ride
Data mining,Computer science,Taxis,Occupancy,Sampling (statistics),Artificial intelligence,Machine learning,Maximization
Conference
ISBN
Citations 
PageRank 
978-1-4503-6909-1
1
0.36
References 
Authors
0
4
Name
Order
Citations
PageRank
Kevin Buchin152152.55
Irina Kostitsyna23318.08
Bram Custers310.36
Martijn Struijs411.71