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

Gao Feng

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

 

 


Keywords


dynamic route choice behavior; Decision Field Theory; Preference; road network; real-time traffic information

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

shopify stats IJEECS visitor statistics