Impact of connected vehicle environment on driving performance: A case of an extra‐long tunnel scenario

Autor: Xin Chang, Jian Rong, Haijian Li, Yiping Wu, Xiaohua Zhao
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: IET Intelligent Transport Systems, Vol 15, Iss 3, Pp 423-431 (2021)
Druh dokumentu: article
ISSN: 1751-9578
1751-956X
DOI: 10.1049/itr2.12035
Popis: Abstract In view of the benefits and a promising prospect of the emerging connected vehicles (CV), more and more vehicles will be equipped with the in‐vehicle human‐machine interface (HMI). This study aims to assess the comprehensive impacts of HMIs on individual driving performance, traffic safety, and eco‐driving behaviour based on a driving simulator. In order to explore how a driver responds to warnings when approaching a tunnel, this study divided the experimental road into five zones according to warning positions. A comparative analysis was conducted to examine the changes in driving comfort, speeding behaviour, the standard deviation of speed, time headway (THW), fuel consumption, and emissions. Results showed that the HMI could be beneficial to speed adjustment before entering a tunnel. Meanwhile, HMI may affect the THW of vehicles. Drivers were usually more cautious when the HMI was on. However, no significant effects of the HMI for driving comfort and eco‐driving behaviour can be observed. It is expected that more efficient technology and different warning strategies can be developed to enhance eco‐safe driving for different zones because they have different effects. The findings of this study are also helpful for active safety management and for evaluating the effectiveness of CV systems.
Databáze: Directory of Open Access Journals
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