Paper Info
Title
Analysis of the Co-routing Problem in Agent-based Carpooling Simulation.
Abstract
Carpooling can cut costs and help to solve congestion problems but does not seem to be popular. Behavioral models allow to study the incentives and inhibitors for carpooling and the aggregated effect on the transportation system. In activity based modeling used for travel forecasting, cooperation between actors is important both for schedule planning and revision. Carpooling requires cooperation while commuting which in turn involves co-scheduling and co-routing. The latter requires combinatorial optimization. Agent-based systems used for activity based modeling, contain large amounts of agents. The agent model requires helper algorithms that deliver high quality solutions to embedded optimisation problems using a small amount of resources. Those algorithms are invoked thousands of times during agent society evolution and schedule execution simulation. Solution quality shall be sufficient in order to guarantee realistic agent behavior. This paper focuses on the co-routing problem. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [name organizer]
Year
DOI
Venue
2012
10.1016/j.procs.2012.06.106
Procedia Computer Science
Keywords
Field
DocType
agent based modeling,activity based modeling,routing,optimisation
Incentive,Computer science,Operations research,Combinatorial optimization,Agent behavior
Journal
Volume
ISSN
Citations 
10
1877-0509
5
PageRank 
References 
Authors
0.58
1
7
Name
Order
Citations
PageRank
Luk Knapen18622.42
Daniel Keren2931116.90
Ansar-Ul-Haque Yasar311842.31
Sungjin Cho4366.49
Tom Bellemans57323.16
Davy Janssens623838.08
Geert Wets776667.59