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

被引:40
作者
Chang, Xin [1 ]
Rong, Jian [1 ]
Li, Haijian [1 ]
Wu, Yiping [1 ]
Zhao, Xiaohua [1 ]
机构
[1] Beijing Univ Technol, Beijing Key Lab Traff Engn, 100 Pingleyuan, Beijing, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
DRIVER PERFORMANCE; WARNING SYSTEM; SAFETY EVALUATION; TRAFFIC SAFETY; ROAD TUNNELS; BEHAVIOR; INFORMATION; ACCIDENTS; SIMULATOR; RISK;
D O I
10.1049/itr2.12035
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:423 / 431
页数:9
相关论文
共 49 条
[1]   Development and Assessment of a Connected Vehicle Training Program for Truck Drivers [J].
Ahmed, Mohamad M. ;
Yang, Guangchuan ;
Gaweesh, Sherif .
TRANSPORTATION RESEARCH RECORD, 2019, 2673 (02) :113-126
[2]  
Arias A. V., 2008, International Journal of Global Environmental Issues, V8, P165, DOI [DOI 10.1504/IJGENVI.2008.017266, 10.1504/IJGENVI.2008.017266]
[3]   Overview of traffic safety aspects and design in road tunnels [J].
Bassan, Shy .
IATSS RESEARCH, 2016, 40 (01) :35-46
[4]   Objective metrics of comfort: Developing a driving style for highly automated vehicles [J].
Bellem, Hanna ;
Schoenenberg, Thorben ;
Krems, Josef F. ;
Schrauf, Michael .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2016, 41 :45-54
[5]   Effects of an in-vehicle collision avoidance warning system on short- and long-term driving performance [J].
Ben-Yaacov, A ;
Maltz, M ;
Shinar, D .
HUMAN FACTORS, 2002, 44 (02) :335-342
[6]   A crash-prediction model for road tunnels [J].
Caliendo, Ciro ;
De Guglielmo, Maria Luisa ;
Guida, Maurizio .
ACCIDENT ANALYSIS AND PREVENTION, 2013, 55 :107-115
[7]   A driving simulator study of driver performance on deceleration lanes [J].
Calvi, A. ;
Benedetto, A. ;
De Blasiis, M. R. .
ACCIDENT ANALYSIS AND PREVENTION, 2012, 45 :195-203
[8]   An Empirical Study of the Effects of Road Tunnel on Driving Performance [J].
Calvi, Alessandro ;
De Blasiis, Maria Rosaria ;
Guattari, Claudia .
SIIV-5TH INTERNATIONAL CONGRESS - SUSTAINABILITY OF ROAD INFRASTRUCTURES 2012, 2012, 53 :1099-1109
[9]   Evaluation of cooperative systems on driver behavior in heavy fog condition based on a driving simulator [J].
Chang, Xin ;
Li, Haijian ;
Qin, Lingqiao ;
Rong, Jian ;
Lu, Yao ;
Chen, Xiaoxuan .
ACCIDENT ANALYSIS AND PREVENTION, 2019, 128 :197-205
[10]   Transport and climate change: a review [J].
Chapman, Lee .
JOURNAL OF TRANSPORT GEOGRAPHY, 2007, 15 (05) :354-367