Assessing the Effectiveness of Connected Vehicle Technologies based on Driving Simulator Experiments [supporting datasets]
-
2019-12-01
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
DOI:
-
Resource Type:
-
Geographical Coverage:
-
Corporate Publisher:
-
Abstract:Connected vehicle technology is expected to reduce crashes and improve roadway safety overall despite its effect being dependent on the content of crash scenarios. The reason behind this is that the heterogeneity between crash scenarios may cause variation in a driver’s perception and interpretation of the crash scenarios. Further, the heterogeneity may lead to different driver behaviors and evasive strategies. Consequently, both the benefits and influence of connected vehicle technology are affected. This project aimed to identify the variation of the performance of connected vehicle technology between different crash scenarios. Specifically, two types of connected vehicle technologies, forward collision warning (FCW) technology and pedestrian-to-vehicle (P2V) technology, were tested in four rear-end crash scenarios and three pedestrian crash scenarios, respectively. The results showed promising effectiveness of FCW and P2V technologies to reduce the possibility of a crash. Specifically, FCW reduced rear-end crashes by 56.6%-69.8%, and P2V reduced pedestrian crashes by 89.2%-97.2%. More importantly, the results captured a significant variation in the performance of FCW and P2V between crash scenarios. In different scenarios, the technologies aroused different driver brake operations, and, consequently, the technologies achieved different safety benefits. In addition, the interaction effects between technologies and driver features were affected by crash scenarios. Age, gender, crash/citation experience, and driving experience were found to affect the warning effect in different scenarios. This study has practical implications for the understanding of how heterogeneity of crash scenarios can affect connected vehicle technology.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type: