Research on the Integrated Cognitive Topological Structure of Driver in the Multi-Resource Information Fusion

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Abstract:

According to the comparability between the process of the multi-sensor information fusion and the human information disposal, the psycho-physical factor and its effect on the uncertainties of driving behavior are considered. The psycho-physical integrated cognitive topological structure is researched, and the cognitive activity chain of driving task-centralization is studied in the multi-resource information fusion, as well as discussed the driving decision-making behavior and the running mechanism of vehicle. The aim of researching the driving cooperative mechanism can offer the he theory guidance for the microscopic simulation and the intelligent vehicle development of intelligent transportation systems.

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256-260

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September 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Xiaoyuan Wang, Xinyue Yang. Application ofthe lane-changing model in the intelligent vehicle system[D]. Proceedings of the International Symposium on Management, Engineeringand Informatics, (2005).

Google Scholar

[2] I. De Vlieger, D. De Keukeleere, J. G. Kretzschmar. Environmental effects of driving behavior and congestion related to passenger cars[J]. Astmospheric Environment 2000, (34): 4649-4655.

DOI: 10.1016/s1352-2310(00)00217-x

Google Scholar

[3] Wim van Winsum. The human element in car following models[J]. Transportation Research Part F 1999, (2): 207-211.

DOI: 10.1016/s1369-8478(00)00008-5

Google Scholar

[4] Thmos A. Ranney. Psychological factors that influence car-following and car-following model development[J]. Transportation Research Part F 1999, (2): 213-219.

DOI: 10.1016/s1369-8478(00)00010-3

Google Scholar

[5] Tatsuru Daimon, Mayumi Nishimura, Hironao Kawashima. Study of driver's behavioral characteristics for designing interfaces of in-vehicle navigation systems based on national and regional factors[J]. JSAE Review2000, (21): 379-384.

DOI: 10.1016/s0389-4304(00)00058-8

Google Scholar