Citation: | XU Yongsheng, LI Lili, WU Youdi, ZHI Jinyi, XIANG Zerui, ZHANG Runzhi. Optimization Design of Interface Layout of High-Speed Railway Control Console Based on Attention Distribution[J]. Journal of Southwest Jiaotong University, 2022, 57(2): 401-409. doi: 10.3969/j.issn.0258-2724.20200414 |
In order to study the drivers’ attention allocation on the interface of high-speed railway control console, and finally achieve the purpose of optimizing the interface layout design of high-speed railway control console, the CRH380D train simulation platform was adopted, and the attention allocation of 14 drivers in the Chengdu locomotive depot high-speed train application workshop was measured by simulated driving experiment. Firstly, the driver’s on duty process was divided into three tasks: departure preparation, main line driving, and parking braking. Secondly, eye movement data, operation trajectory, and NASA-TLX subjective workload of the tested subjects in the three tasks were collected from the visual, behavioral, and psychological layers respectively. Finally, combined with the in-depth interview with the tested subjects, the attention allocation of the drivers to the CRH380D train control console interface was obtained. The results show that, in the current interface layout design of CRH380D train control console, ATP is the highest concentration distribution, followed by TCMS1. Among the 21 switch buttons on the horizontal control surface, the ones that attract more attention are the driving door, the parking brake, and the lifting/lowering buttons. Driver’s eye movement trajectory map and operation trajectory map are more complex, and driver's subjective workload is relatively high. According to the experimental results, four principles of interface layout design for high-speed railway control console and some corresponding design suggestions are summarized. Taking CRH380D train as an example, the optimal design scheme of high-speed railway control console interface layout is obtained.
[1] |
冀丽俊. 国内轨道交通驾驶室人机工程设计研究[D]. 武汉: 武汉理工大学, 2014.
|
[2] |
胥川,郭启明,王雪松. 疲劳预警分级提示下的驾驶行为响应特征[J]. 西南交通大学学报,2019,54(1): 189-195.
XU Chuan, GUO Qiming, WANG Xuesong. Driver behavior response to drowsiness alarming at different levels[J]. Journal of Southwest Jiaotong University, 2019, 54(1): 189-195.
|
[3] |
朱彤,吴玲,路巧珍. 车载信息对驾驶人眨眼特性及负荷的影响规律[J]. 西南交通大学学报,2015,50(3): 504-510. doi: 10.3969/j.issn.0258-2724.2015.03.019
ZHU Tong, WU Ling, LU Qiaozhen. Effects of in-vehicle information on driver eye blink duration and workload[J]. Journal of Southwest Jiaotong University, 2015, 50(3): 504-510. doi: 10.3969/j.issn.0258-2724.2015.03.019
|
[4] |
王洪宝,王金,支锦亦,等. 基于RAMSIS仿真的高速列车驾驶界面人机工效评估[J]. 机械设计,2020,37(1): 128-134.
WANG Hongbao, WANG Jin, ZHI Jinyi, et al. Ergonomic evaluation of high-speed train driving interface based on RAMSIS simulation[J]. Journal of Machine Design, 2020, 37(1): 128-134.
|
[5] |
郭北苑. 高速列车驾驶界面人因适配性设计理论与方法研究[D]. 北京: 北京交通大学, 2010.
|
[6] |
钟玮. 汽车驾驶室人机界面概略评价研究[D]. 秦皇岛: 燕山大学, 2012.
|
[7] |
BONNEY M C, WILLIAMS R W. CAPABLE. A computer program to layout controls and panels[J]. Ergonomics, 1977, 20(3): 297-316. doi: 10.1080/00140137708931629
|
[8] |
PULAT B M, AYOUB M A. A computer-aided panel layout procedure for process control jobs-LAYGEN[J]. IIE Transactions, 1985, 17(1): 84-93. doi: 10.1080/07408178508975275
|
[9] |
JUNG E S, PARK S, CHANG S Y. A CSP technique-based interactive control panel layout[J]. Ergonomics, 1995, 38(9): 1884-1893. doi: 10.1080/00140139508925236
|
[10] |
陈德钧,方卫宁,秦永贞,等. 轨道车辆司机操纵台人机界面布局优化模型与算法[J]. 铁道学报,2014,36(11): 40-47. doi: 10.3969/j.issn.1001-8360.2014.11.009
CHEN Dejun, FANG Weining, QIN Yongzhen, et al. Optimizing model and algorithm for human-machine interface layout of metro train driver's desk[J]. Journal of the China Railway Society, 2014, 36(11): 40-47. doi: 10.3969/j.issn.1001-8360.2014.11.009
|
[11] |
支锦亦,杜洋,冯纾,等. 车载信息系统界面图文设计及其视认知特性研究综述[J]. 包装工程,2020,41(10): 62-70.
ZHI Jinyi, DU Yang, FENG Shu. Review on the graphic design and perceptual characteristics of automobile system interface[J]. Packaging Engineering, 2020, 41(10): 62-70.
|
[12] |
詹自翔. 高速列车驾驶界面布局与适配性评价方法[D]. 北京: 北京交通大学, 2015.
|
[13] |
张亮,张继业,李田,等. 高速列车头型多目标气动优化设计[J]. 西南交通大学学报,2016,51(6): 1055-1063. doi: 10.3969/j.issn.0258-2724.2016.06.003
ZHANG Liang, ZHANG Jiye, LI Tian, et al. Multi-objective aerodynamic optimization design for head shape of high-speed trains[J]. Journal of Southwest Jiaotong University, 2016, 51(6): 1055-1063. doi: 10.3969/j.issn.0258-2724.2016.06.003
|
[14] |
AFRIDI A H, MENGASH H A. NASA-TLX-based workload assessment for academic resource recommender system[J]. Personal and Ubiquitous Computing, 2020: 1-19.
|
[15] |
刘青,薛澄岐,FALK H. 基于眼动跟踪技术的界面可用性评估[J]. 东南大学学报(自然科学版),2010,40(2): 331-334.
LIU Qing, XUE Chengqi, FALK H. Interface usability evaluation based on eye-tracking technology[J]. Journal of Southeast University (Natural Science Edition), 2010, 40(2): 331-334.
|