Connected vehicle systems (CVS) allow for the exchange of real time vehicle movement data. By means of wireless communication between vehicles as well as information delivered from vehicle to driver, drivers are expected to be more aware of surrounding traffic and make better decisions to avoid hazards. Particularly, for safety-critical situations, it is expected that collision warnings supported by CVSs are able to alert drivers of possible hazards in advance, improve drivers' situation awareness, and therefore enhance driving safety. Situation awareness (SA), as defined in Endsley (1988), comprises three levels: Perception of the elements in the environment (Level 1 SA), Comprehension of the current situation (Level 2 SA), and Projection of future status (Level 3 SA). Ever since automotive automation appeared, research studies have focused on the different factors of various automation technologies and its impact on drivers' situation awareness, for instance, adaptive cruise control (ACC) system and highly automated driving (HAD) (De Winter. 2014; Ma & (Caber. 2005), information reliability of ACC (Ma & Kaber, 2007), feedback level of ACC (Stanton & Young, 2005), and warning criticality and modality of advanced driver assistance system (ADAS) (Lindgren, 2009). Existing literature found that different designs of automation technologies can lead to positive and negative impacts on driver SA. However, collision warning system (CWS). as one of the promising technologies for driving safety, has received little attention with regard to its effects on driver SA.
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