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

Gao Feng (School of Electric and Electronic Engineering, Wuhan Polytechnic University)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 12, No 3: March 2014

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