Record Details

Intelligent Agent Optimization of Urban Bus Transit System Design

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Intelligent Agent Optimization of Urban Bus Transit System Design
 
Creator BLUM, JJ
MATHEW, TV
 
Subject GENETIC ALGORITHM APPROACH
NETWORK DESIGN
Public transportation
Transportation networks
Optimization
Routing
 
Description The transit route network design (TRND) problem seeks a set of bus routes and schedules that is optimal in the sense that it maximizes the utility of an urban bus system for passengers while minimizing operator cost. Because of the computational intractability of the problem, finding an optimal solution for most systems is not possible. Instead, a wide variety of heuristic and meta-heuristic approaches have been applied to the problem to attempt to find near-optimal solutions. This paper presents an optimization system that synthesizes aspects of previous approaches into a scalable, flexible, intelligent agent architecture. This architecture has successfully been applied to other transportation and logistics problems in both research studies and commercial applications. This study shows that this intelligent agent system outperforms previous solutions for both a benchmark Swiss bus network system and the very large bus system in Delhi, India. Moreover, the system produces in a single run a set of Pareto equivalent solutions that allow a transit operator to evaluate the trade-offs between operator costs and passenger costs. DOI: 10.1061/(ASCE)CP.1943-5487.0000095. (C) 2011 American Society of Civil Engineers.
 
Publisher ASCE-AMER SOC CIVIL ENGINEERS
 
Date 2012-06-26T09:41:22Z
2012-06-26T09:41:22Z
2011
 
Type Article
 
Identifier JOURNAL OF COMPUTING IN CIVIL ENGINEERING,25(5)357-369
0887-3801
http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000095
http://dspace.library.iitb.ac.in/jspui/handle/100/14313
 
Language English