• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.7
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• pp.575-583
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• 2017

This paper describes the design and evaluation of a driving mode decision algorithm for automated driving for merge situations on highways. For the development of a highly automated driving control algorithm for merge situations, the driving mode decision is crucial for merging appropriately. There are two driving modes: lane keeping and lane changing (merging). The merge mode decision is determined based on the state of the surrounding vehicles and the remaining length of the merge lane. In the merge mode decision algorithm, merge possibility and the desired merge position are decided to change the lane safely and quickly. A safety driving envelope is defined based on the desired driving mode using the information on the surrounding vehicles' behaviors. To obtain the desired steering angle and longitudinal acceleration for maintaining the subject vehicle in the safe driving envelope, a motion planning controller is designed using model predictive control (MPC), with constraints that are decided considering the vehicle dynamics, safe driving envelope, and actuator limit. The proposed control algorithm has been evaluated via computer simulation studies.

• Journal of Venture Innovation
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• v.6 no.3
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• pp.95-109
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• 2023

In light of the world grappling with diverse environmental issues due to climate change, the prominence of the 'pre-cycling' movement has grown. This movement strives to curtail or eliminate waste generation even before product purchases, garnering more attention than conventional eco-friendly practices. Consequently, this study employs experiments to delve into effective message strategies for promoting pre-cycling behaviors, which serve as preventive measures against the escalating environmental challenges posed by worsening waste problems. This study investigated the effects of message framing and temporal distance on pre-cycling behavioral intention. In terms of message frame, suggestive messages increased pre-cycling behavioral intention more than coercive messages, and temporal distance had no direct effect on pre-cycling behavioral intention. Assertive messages were associated with higher pre-cycling behavioral intentions when the target was interpreted as near future and suggestive messages were interpreted as distant future. Although temporal distance did not directly affect pre-cycling behavioral intention, it positively influenced consumers' pro-environmental behavioral intention by reducing their antipathy toward assertive messages. The implications of this study extend to the realm of management, offering insights into steering consumer behavior in response to pro-environmental messages.