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Modeling Driver Behavior in a road network with route choice based on real time traffic information


 
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1. Title Title of document Modeling Driver Behavior in a road network with route choice based on real time traffic information
 
2. Creator Author's name, affiliation, country Gao Feng; School of Electric and Electronic Engineering, Wuhan Polytechnic University; China
 
3. Subject Discipline(s) Intelligent Transportation System
 
3. Subject Keyword(s) dynamic route choice behavior; Decision Field Theory; Preference; road network; real-time traffic information
 
4. Description Abstract

Intelligent Transportation Systems (ITS) applications require a thorough understanding of drivers' route choice behavior in a complex network under real-time information. The purpose of this paper is to describe and model driver route choice behavior in a road network based on real time traffic information at the disaggregate individual level and from a psychological decision-making process perspective. The framework of routing choice and driver dynamic route choice behavior model that uses concepts from Decision Field Theory (DFT) and Bayesian belief network (BBN) is proposed. A real-time planning algorithm for route choice processes is discussed in great detail. Using this algorithm, a driver develops his route dynamically until he reaches his destination. The simulation results show that the combination of DFT and BBN can effectively describe the driver's travel dynamics behavior.

 

DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4466

 

 

 
5. Publisher Organizing agency, location Institute of Advanced Engineering and Science
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2014-03-01
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3194
 
11. Source Title; vol., no. (year) Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 3: March 2014
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2013 Institute of Advanced Engineering and Science
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