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Driver Assistance: Intelligent Cruise Control

Research is conducted at CISR to further understanding of human braking and steering patterns and their impact on the design of intelligent control systems. The objective is to develop technology that can learn an individual driver's behavior to provide appropriate warning or control signals. Emphasis is given to Intelligent Cruise Control (ICC) and other driver assistance systems.

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Related Recent Publications

Schober, M., Wehlan, H.,Eskandarian, A., and Kühne, R. (2004) “Comparing Driving Behavior for Manual, Conventional and Automated Cruise Control Driving in Car-Following by Scenarios Based on an Advanced Driver Performance Map”, Miami, FL: Intelligent Transportation Systems Safety and Security, CD-ROM.

Schober, M., Wehlan, H.,Eskandarian, A., Wagner, P., and Kühne, R. (2004) “Calibration and Validation of Microscopic Car-Following Models on the Basis of the Intelligent Cruise Control Field Operational Test Data”, Miami, FL: Intelligent Transportation Systems Safety and Security, CD-ROM.

Delaigue, P. and Eskandarian, A. (2004) "A comprehensive vehicle braking model for predictions of stopping distances," Journal of Automobile Engineering, 218(12), 1409-17.

Vahidi, A., and Eskandarian, A. (2003) “Research Advances in Intelligent Collision Avoidance and Adaptive Cruise Control”, IEEE Transactions on ITS, Vol. 4, Issue 3, 2003, pp. 143-153.