Modeling Human Learning and Cognition Structure: Application to Driver Behavior in Dilemma Zone-Reference-Cited by-同舟云学术

Modeling Human Learning and Cognition Structure: Application to Driver Behavior in Dilemma Zone

Published:2016-11 Issue:11 Volume:142 Page:04016057
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Ghanipoor Machiani Sahar¹,Abbas Montasir²

Affiliation:

1. Assistant Professor, Dept. of Civil, Construction, and Environmental Engineering, San Diego State Univ., San Diego, CA 92182 (corresponding author).

2. Associate Professor, Dept. of Civil and Environmental Engineering, Virginia Tech, 301-D3 Patton Hall, Blacksburg, VA 24060.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29TE.1943-5436.0000885

Reference47 articles.

1. Modeling the dynamics of driver’s dilemma zone perception using agent based modeling techniques;Abbas M.;Int. J. Transp. Spec. Issue Agent Based Model. Transp. Plann. Oper.,2013

2. Abbas M. Ghanipoor Machiani S. Garvey P. M. Farkas A. and Lord-Attivor R. (2014). “Modeling the dynamics of driver’s dilemma zone perception using machine learning methods for safer intersection control.” U.S. Dept. of Transportation Research & Innovative Technology Washington DC.

3. Abbas M. Linsen C. Higgs B. Medina A. and Yang C. Y. D. (2011). “Agent-based evaluation of driver heterogeneous behavior during safety-critical events.” 2011 14th Int. IEEE Conf. on Intelligent Transportation Systems (ITSC) IEEE Piscataway NJ.

4. Hierarchical control of traffic signals using Q-learning with tile coding

5. Evaluating Green-Extension Policies with Reinforcement Learning and Markovian Traffic State Estimation

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