A Bounded Rationality Binary Logit Model for Route Choice Analysis

This paper shows how route choice behavior is the most common decision a traveler makes on a daily basis and this paper focuses on bounded rational decision making behavior of route choice from a psychological point of view. A computer program collects experimental choice data using real-time traffic information. The Multinomial logit (MNL) utility theory is a mode for analyzing individual travel behavior by assuming travelers always chose the path which has maximum utility. Travelers know the traffic state of each road through different colors using mobile phones or computers. Green lines refer to smooth traffic, red lines refer to traffic congestion and yellow lines express the traffic states between smooth and congestion. When traffic states of two paths are similar, people can't make rational decisions and this paper uses the bounded rationality binary logit (BRBL) model to fill this gap.

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  • English

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  • Accession Number: 01631598
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Mar 30 2017 3:42PM