Research on subjective evaluation method of navigation guidance level-2 automatic driving system

2021 ◽  
Author(s):  
Shuai Chen ◽  
wenbo Ma ◽  
Botong Wang ◽  
She Xu ◽  
Xinming Wang
2021 ◽  
pp. 107754632110033
Author(s):  
Gang Xiao ◽  
Qinwen Yang ◽  
Fan Yang ◽  
Tao Liu ◽  
Tao Li ◽  
...  

Automatic driving of trains can significantly reduce the energy cost and enhance the operating efficiency and safety. The automatic train driving system has to be an embedded system that can run onboard with low power, which necessitates an efficient inference model. In this article, a level-wise driving knowledge induction approach is proposed for embedded automatic train driving systems. The coincident driving patterns in the records of drivers with different experience levels suggest the suitability of a driving experience knowledge rule induction approach. We design a two-level learning approach to obtain both the driving experience pattern in fuzzy rule-based knowledge form and the detailed parameters of velocity and gear by regression learning methods. With 8.93% energy consumption reduction compared with average human drivers, the experiments indicate the effectiveness of our approach.


2014 ◽  
Vol 568-570 ◽  
pp. 1331-1335 ◽  
Author(s):  
Shao Jun Zhang ◽  
Dong Lin Su ◽  
Jian Wang ◽  
Rui Wang

To improve the objectivity and accuracy of evaluation for electromagnetic environment complexity and its influence on communication equipment, a subjective complexity evaluation method of electromagnetic environment oriented to the communication equipment is presented based on sensitivity and RF protection ratio of communication equipment. Based on statistical concept, the energy correlation factor is modified, and modulation and polarization correlation concept are imported into this method, by which the factor of energy correlation is modified and the subjective evaluation is made by analyzing the time domain correlation, frequency domain correlation, energy domain correlation, modulation correlation and polarization correlation of the electromagnetic environment. These simulation results indicate that communication equipment with various working parameters are influenced differently under the same electromagnetic environment. Namely, the complexities of electromagnetic environment for communication equipment with various working parameters are different.


2021 ◽  
Vol 283 ◽  
pp. 02021
Author(s):  
Zhengsheng Qi ◽  
Bohong Liu ◽  
Mengmeng Wang

Automatic train driving system is an important subsystem of train operation control system, which can provide passengers with punctual, accurate, efficient and fast transportation services. At the same time, the accurate stop, comfort and stability of the train is an important index to measure the control performance of the train automatic driving system, and the accurate stop plays a vital role in the efficient operation of the train. Based on the characteristics of high-speed train parking, an accurate parking algorithm based on fuzzy PID iterative control was proposed to solve the problem of low parking accuracy caused by frequent switching of control output. On the basis of solving the differential equation of the train braking model, the gradient of the system is obtained, and then the learning parameters of the convergence condition are obtained to overcome the repeated uncertainty in the stopping stage. The simulation results show that the fuzzy PID iterative control for asymptotic stability is an effective method to realize the precise parking of trains, and has strong robustness against the train parameter uncertainties and external disturbances.


2021 ◽  
Vol 11 (22) ◽  
pp. 11032
Author(s):  
Haokun Song ◽  
Fuquan Zhao ◽  
Zongwei Liu

There are big differences between the driving behaviors of intelligent connected vehicles (ICVs) and traditional human-driven vehicles (HVs). ICVs will be mixed with HVs on roads for a long time in the future. Different intelligent functions and different driving styles will affect the condition of traffic flow, thereby changing traffic efficiency and emissions. In this paper, we focus on China’s expressways and secondary motorways, and the impacts of the ‘single-lane automatic driving system’ (SLADS) on traffic delay, road capacity and carbon dioxide (CO2) emissions were studied under different ICV penetration rates. Driving styles were regarded as important factors for scenario analysis. We found that with higher volume input, SLADS has an optimizing effect on traffic efficiency and CO2 emissions generally, which will be more significant as the ICV penetration rate increases. Additionally, enhancing the aggressiveness of driving behavior appropriately is an effective way to amplify the benefits of SLADS.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Lanchun Zhang ◽  
Zhongwei Zhu ◽  
Bin Huang ◽  
Tianbo Wang

In order to improve the transmission efficiency and carrying capacity of conventional single-belt continuously variable transmission (CVT), one new type of dual-belt CVT is proposed in this paper. Under the situation that this new dual-belt CVT should be switched between single- and dual-belt modes frequently according to driver’s intention and road conditions, so five objective evaluation indexes of mode switching quality for the dual-belt CVT are proposed, considering the aspects of vehicle power, comfort, and transmission durability comprehensively. Then, the objective evaluation model of mode switching quality is established by the BP neural network optimized by the genetic algorithm. It is found that the prediction results are consistent with the subjective evaluation. After analyzing the influence of the selected five evaluation indexes on the prediction results, it is obvious that these five evaluation indexes of mode switching quality for dual-belt CVT are reasonable.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siti Zulaikha Binti Zulkifli ◽  
KyoungOk Kim ◽  
Masayuki Takatera

PurposeThis study aimed to clarify the criteria for subjective evaluation of the similarities and differences between virtual and actual pants and propose a quantitative evaluation method for those similarities and differences based on geometric features related to the evaluation.Design/methodology/approachUsing patterns, we made five pairs of actual pants for a dummy in five fabrics. We simulated virtual pants with a 3-D simulator. Sensory evaluation was conducted with images of the virtual and actual pants: 20 participants compared the images based on a questionnaire. For the structure of evaluation, the authors undertook analysis of variance and principal component analysis. The actual and virtual pants were geometrically compared using the 3-D scanned data. To investigate the relationship between quantitative and sensory evaluation, the authors calculated the correlation coefficients.FindingsThe authors found that subjects perceived the differences between actual and simulated pants. When comparing the virtual and actual pants, the criteria for the differences were the silhouette from the front view, hem width, waist and wrinkles. Using differences in the hem width, it would be possible to evaluate the differences between actual and simulated pants. Roughness and smoothness of the silhouette also affected evaluation.Originality/valueThe authors clarified the evaluation criteria for the similarities and differences between virtual and actual pants. The authors proposed a quantitative evaluation method for the similarities and differences between virtual and actual garment based on our criteria. This study will be of benefit to 3-D simulator users and developers.


Author(s):  
Yuan Wang ◽  
Liangxin Yuan ◽  
Hao Chen ◽  
Peng Du ◽  
Xiaomin Lian

Creep control is a kind of start-up control for electric vehicle. In the paper, two closed-loop control is contained in the creep control strategy. Proportional control with torque limitation, which adjusts vehicle speed, is the outer-loop control; and anti-slip control is the inner-loop control. In this way, the vehicle speed indicates no overshoot and has uniform convergence with driving torque. Moreover, the vehicle can start up on low adhesion or split road, and the driver can control the creep speed by the brake pedal only, so that the driver’s operation is reduced. Subjective evaluation method is proposed to determine the control performance metrics, and then the mathematical relationship between the performance metrics and the control parameters is established. The tuning method of the control parameters is proposed according to those performance metrics, which mitigates the workloads of calibration and provides a better driving experience. Some simulations and real vehicle experiments are conducted to verify that the control strategy has an expected performance.


2017 ◽  
Vol 88 (20) ◽  
pp. 2303-2318 ◽  
Author(s):  
Yan Hong ◽  
Xianyi Zeng ◽  
Pascal Bruniaux ◽  
Antonela Curteza ◽  
Maier Stelian ◽  
...  

Garment opening is strongly related to the daily life quality of physically disabled people with scoliosis (PDPSs). This research proposes a kinesiological evaluation method to investigate the influence of garment opening positions in dressing activities of PDPSs. For this purpose, dressing activities are firstly deconstructed into several motions. The performance of different garment opening positions is represented by the performance of the wearer carrying out different motions in dressing activities. The proposed evaluation method is based on the Completion Level (CL), which includes both physical and psychological indicators: Motion Standard Time (MST), Motion Difficulty Degree (MDD) and Motion Independence Degree (MID). MST is a physical indicator regarding the standard time to complete a motion in the dressing activities. It reflects the physical autonomy of the wearer in the dressing activity. MDD and MID are psychological indicators, which are developed to evaluate the psychological independence and difficulty of dressing motions respectively. Subjective evaluation is used to obtain data regarding MDD and MID. Due to the fact that there is always vagueness and uncertainly in the subjective evaluation, fuzzy set theory is applied to the data process regarding MDD and MID. A case study is presented to explain the implications of the proposed method. The case study indicated that garment opening positions have an influence on the dressing activity. PDPS will benefit from a well-constructed garment, and a proper positioning of the opening, in terms of both physical and psychological aspects.


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