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A Lane-Changing Behavioral Preferences Learning Agent with its Applications
Computer Science and Information Systems, Tome 12 (2015) no. 2 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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Traditional lane-changing (LC) behavioral researches usually focus on the driver’s cognitive performance which includes the driver’s psychological and behavioral habit characteristics, rarely involving the affection of expert driver’s comprehensive behavioral preferences, such as: safety and comfort performance in LC process. Towards the free LC process, a novel LC safety and comfort degree index is proposed in this paper, as well as, the novel definition of LC driving behavioral preferences is described in detail. Taking advantage of interactive evolutionary computing (IEC) and real-time optimization (RTO) metrics, a kind of LC behavioral preferences on-line learning agent extending traditional Belief-Desire-Intention (BDI) structure is explicitly proposed, which can perform behavioral preferences learning activities in the LC process. In addition, driving behavioral preferences learning strategies are introduced which can gradually grasp essentials in driver’s subjective judgments in decision-making of the LC process and make the LC process more safety and scientific. Specifically, a conceptual model of the agent, driving behavioral preferences learning-BDI (DpL-BDI) agent is introduced, along with corresponding functional modules to grasp driving behavioral preferences. Furthermore, colored Petri nets are used to realize the components and scheduler of the DpL-BDI agents. In the end, to compare with the traditional LC parameters’ learning methods (such as: the least squares methods and Genetic Algorithms), a kind of LC problems is suggested to case studies, testing and verifying the validity of the contribution.
Keywords: Agent, Driving behavioral preferences, Interactive learning, Colored Petri Nets (CPN) 
@article{CSIS_2015_12_2_a3,
     author = {Wang Jian and Cai Baigen and Liu Jiang and Shangguan Wei},
     title = {A {Lane-Changing} {Behavioral} {Preferences} {Learning} {Agent} with its {Applications}},
     journal = {Computer Science and Information Systems},
     year = {2015},
     volume = {12},
     number = {2},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2015_12_2_a3/}
}
TY  - JOUR
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AU  - Cai Baigen
AU  - Liu Jiang
AU  - Shangguan Wei
TI  - A Lane-Changing Behavioral Preferences Learning Agent with its Applications
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PY  - 2015
VL  - 12
IS  - 2
UR  - http://geodesic.mathdoc.fr/item/CSIS_2015_12_2_a3/
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%0 Journal Article
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%A Cai Baigen
%A Liu Jiang
%A Shangguan Wei
%T A Lane-Changing Behavioral Preferences Learning Agent with its Applications
%J Computer Science and Information Systems
%D 2015
%V 12
%N 2
%U http://geodesic.mathdoc.fr/item/CSIS_2015_12_2_a3/
%F CSIS_2015_12_2_a3
Wang Jian; Cai Baigen; Liu Jiang; Shangguan Wei. A Lane-Changing Behavioral Preferences Learning Agent with its Applications. Computer Science and Information Systems, Tome 12 (2015) no. 2. http://geodesic.mathdoc.fr/item/CSIS_2015_12_2_a3/