Exploring lane change safety issues for manually driven vehicles in vehicle platooning environments

被引:44
作者
Lee, Seolyoung [1 ]
Oh, Cheol [1 ]
Hong, Sungmin [2 ]
机构
[1] Hanyang Univ, Dept Transportat & Logist Engn, Ansan, Gyeonggi Do, South Korea
[2] Korea Transportat Safety Author, Transportat Safety Res & Dev Inst, Transportat Safety Res Off, Gimcheon Si, Gyeongsangbuk D, South Korea
关键词
road safety; road traffic; traffic engineering computing; road vehicles; mobile robots; digital simulation; lane change safety issues; manually driven vehicles; vehicle platooning environments; automated driving environments; lane change behaviour; proper gap identification; automated vehicles; AV; MV; unstable traffic flow; traffic safety issues; lane change characteristics; driving simulator experiments; driving behaviour; steering magnitude; steering velocity; novel traffic operations strategies; TRAFFIC-FLOW CHARACTERISTICS; ADAPTIVE CRUISE CONTROL; PERFORMANCE; WORKLOAD;
D O I
10.1049/iet-its.2018.5167
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
Vehicle platooning, a beneficial feature of automated driving environments, is likely to affect the lane change behaviour of manually driven vehicles (MVs) because identifying proper gaps in vehicle platoons in the target lane will be more difficult than in the current non-platooning environment. These interactions between MVs and automated vehicles (AVs) could lead to a higher potential for unstable traffic flow, which is closely associated with traffic safety issues. The objective of this study was to investigate the lane change characteristics of MVs in AV platooning environments using driving simulator experiments. This research found that MV drivers tend to show more radical driving behaviour, as indicated by greater steering magnitude and steering velocity when they change lanes into the platooning vehicles' lane. Therefore, novel traffic operations strategies to manage MVs and AVs effectively are required to ensure traffic safety, which will be conducted by a future study.
引用
收藏
页码:1142 / 1147
页数:6
相关论文
共 16 条
[1]  
Alexander D, 2013, SELF DRIVING VEHICLE
[2]  
Aramrattana M., 2017, TRANSP RES F
[3]   Investigation of Automated Vehicle Effects on Driver's Behavior and Traffic Performance [J].
Aria, Erfan ;
Olstam, Johan ;
Schwietering, Christoph .
INTERNATIONAL SYMPOSIUM ON ENHANCING HIGHWAY PERFORMANCE (ISEHP), (7TH INTERNATIONAL SYMPOSIUM ON HIGHWAY CAPACITY AND QUALITY OF SERVICE, 3RD INTERNATIONAL SYMPOSIUM ON FREEWAY AND TOLLWAY OPERATIONS), 2016, 15 :761-770
[4]  
Balk S., 2016, COOPERATIVE ADAPTIVE
[5]   Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence [J].
de Winter, Joost C. F. ;
Happee, Riender ;
Martens, Marieke H. ;
Stanton, Neville A. .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2014, 27 :196-217
[6]   A method for relating type of crash to traffic flow characteristics on urban freeways [J].
Golob, TF ;
Recker, WW .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2004, 38 (01) :53-80
[7]   Driving next to automated vehicle platoons: How do short time headways influence non-platoon drivers' longitudinal control? [J].
Gouy, Magali ;
Wiedemann, Katharina ;
Stevens, Alan ;
Brunett, Gary ;
Reed, Nick .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2014, 27 :264-273
[8]   Effects of platooning on signal-detection performance, workload, and stress: A driving simulator study [J].
Heikoop, Daniel D. ;
de Winter, Joost C. F. ;
van Arem, Bart ;
Stanton, Neville A. .
APPLIED ERGONOMICS, 2017, 60 :116-127
[9]  
Hjalmdahl M, 2017, EUROPEAN TRANSPORT R, V9, P1
[10]  
Larburu M., 2010, ITS WORLD C