Adaptive Cruise Control with Collision Avoidance in Multi-Vehicle Traffic Situations

Document Number: 2009-01-0439

Date Published: April 2009

Author(s):
Seungwuk Moon - Seoul National Univ
Kyongsu Yi - Seoul National Univ
Pal-Joo Yoon - Mando Corp
Hyung-Jin Kang - Mando Corp

Abstract:
This paper presents a longitudinal control algorithm for an adaptive cruise control (ACC) with collision avoidance (CA) in multiple vehicle traffic situations. The proposed algorithm consists of a multi-target tracking filter, a primary target selection algorithm and an integrated ACC/CA system. The multi-target tracking filter is used to smooth the sensor signal, and makes it possible to apply to a control system. The primary target selection algorithm decides an in-lane target and provides the information to an integrated ACC/CA system in order to drive a subject vehicle smoothly and improve safety in complex traffic situations. Finally, the integrated ACC/CA system computes the desired acceleration. The performance and safety benefits of the multi-vehicle ACC/CA system is investigated via simulations using real data on driving. Simulation results show that the response of multi-vehicle ACC/CA system is more smooth and safer at a change of traffic situations.

File Size: 1071K
Product Status: In Stock

Included in: V118-6

See other papers presented at SAE World Congress & Exhibition, April 2009, Detroit, MI, USA, Session: Vehicle Dynamics and Simulation (Part 2 of 4): Advancements in vehicle dynamics stability and control

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