To address the problem caused by a conventional adaptive cruise control (ACC) system, which hinders drivers from changing lanes, in this study we propose a novel coordinated ACC system with a lane-change assistance function, which enables dual-target tracking, safe lane change, and longitudinal ride comfort. We first analyze lane-change risk by calculating minimum safety spacing between the host vehicle and surrounding vehicles and then develop a coordinated control algorithm using model predictive control theory. Tracking performance is designed on the basis of tracking errors of the host car and two leading vehicles, safety performance is realized by considering the safe distance between the host car and surrounding vehicles, and ride comfort performance is realized by limiting the vehicle's longitudinal acceleration. Driver-in-the-loop tests performed on a driving simulator confirm that the proposed ACC system can overcome the disadvantages of conventional ACC and achieves multiobjective coordination in the lane-change process.Index Terms-Adaptive cruise control (ACC), lane-change assistance, minimum safety space, model predictive control (MPC).
A lane change warning system is proposed, which gets the surrounding vehicle' motion states based on V2V communication. The safe distance between ego-vehicle and rear vehicle in target lane is analyzed according to the goal of both collision avoidance and vehicle following safety. Safe distance between ego-vehicle and front vehicle in target lane is analyzed to ensure safety in emergency collision avoidance. Safe distances between ego-vehicle and front and rear vehicles in original lane are analyzed to realize safe following. Meanwhile, driving style index is proposed to adapt the warning system to different kinds of drivers. Simulation results show that the lane change warning system can make a composite analysis of the collision risk during the lane-changing, and provide an accurate real-time warning to assist drivers. Index Terms-lane change warning, minimum safe distance, collision warning, V2V communication, driver assist system Manuscript received May 4th, 2014. Dang Ruina is with China North Vehicle Research Institute,
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