scholarly journals Pedal operation characteristics and driving workload on slopes of mountainous road based on naturalistic driving tests

2019 ◽  
Vol 119 ◽  
pp. 40-49 ◽  
Author(s):  
Tian-Ming Deng ◽  
Jing-hou Fu ◽  
Yi-Ming Shao ◽  
Jin-shuan Peng ◽  
Jin Xu
2015 ◽  
Vol 63 (2) ◽  
pp. 37-44 ◽  
Author(s):  
Daisuke ICHIHARA ◽  
Shota HARADA ◽  
Hisashi KATAOKA ◽  
Shigeru YOKOTA ◽  
Akihiro SASOH

Author(s):  
N. N. Dubenok ◽  
G. V. Olgarenko ◽  
B. S. Gordon

If the center pivot or linear moving irrigation machines are operated with their own individual irrigation technologies, but the irrigation machines with combined center-pivot and linear moving mode are operated on one field in turn as a center pivot and as a linear. The goal of this work is creation of theoretical base for calculation of improved irrigation machines parameters and existing irrigation equipment modernizing, according to the different natural conditions. The research object is investigation of characteristics of rain delivered from irrigation machines with combined center-pivot and linear moving mode, assuring uniform irrigation distribution according to the irrigation technology and operation parameters, size and configuration of seasonal norm as well as to the irrigation scheduling. The pointed goal is achieved by the given problem solving, when having basic data on the irrigation norm and time, as well as operation characteristics and the irrigation area configuration, the predicted hydro modulus are calculated for the irrigation machine working in a center pivot and in a linear mode. The simulation of sprinkling devices operation on the machine is made by one universal formula, when on the plots irrigated in center pivot and linear mode is achieved equality of arranged hydro modulus to the corresponding calculated data. At that, are considered all the possible combinations of the total irrigated area parts, irrigated with different technologies.


Author(s):  
В. Бутенко ◽  
V. Butenko

The assessment indices of surface layer effective state in machinery subjected to different ways of finishing are considered. The role of the dislocation restructurization process in the formation of operation characteristics of surface layer material quality and prediction of its working capacity is shown. A generalized quality index of multi-component functional layers formed on operation surfaces of machinery is described.


2017 ◽  
Vol 11 (1) ◽  
pp. 81-94 ◽  
Author(s):  
A. P. Moroz ◽  
T. S. Abbasova ◽  
M. E. Stavrovsky

Identified the problem of increasing the efficiency of the collection device and the processing of information in telemetry monitoring systems and vibration diagnostics. The possibilities of CAD-programs for the calculation of vibro-impact processes and random vibration devices and printed circuit boards. A study of the frequency and random vibration study on the example of the PCB in SolidWorks environment. Abstract purpose, principle of operation, characteristics of the onboard telemetry information «Pyrite» system for measuring the parameters of aircraft, which are characterized by different phases and the duration of the flight telemetered site; It shows that the «Pyrite» equipment can be effectively used for the integrated telemetry information slowly evolving processes and rapidly changing processes of aircraft.


2014 ◽  
Vol 11 (8) ◽  
pp. 2291-2306 ◽  
Author(s):  
X. Wang ◽  
C. Liu ◽  
L. Kostyniuk ◽  
Q. Shen ◽  
S. Bao

Author(s):  
Li Zhao ◽  
Laurence Rilett ◽  
Mm Shakiul Haque

This paper develops a methodology for simultaneously modeling lane-changing and car-following behavior of automated vehicles on freeways. Naturalistic driving data from the Safety Pilot Model Deployment (SPMD) program are used. First, a framework to process the SPMD data is proposed using various data analytics techniques including data fusion, data mining, and machine learning. Second, pairs of automated host vehicle and their corresponding front vehicle are identified along with their lane-change and car-following relationship data. Using these data, a lane-changing-based car-following (LCCF) model, which explicitly considers lane-change and car-following behavior simultaneously, is developed. The LCCF model is based on Gaussian-mixture-based hidden Markov model theory and is disaggregated into two processes: LCCF association and LCCF dissociation. These categories are based on the result of the lane change. The overall goal is to predict a driver’s lane-change intention using the LCCF model. Results show that the model can predict the lane-change event in the order of 0.6 to 1.3 s before the moment of the vehicle body across the lane boundary. In addition, the execution times of lane-change maneuvers average between 0.55 and 0.86 s. The LCCF model allows the intention time and execution time of driver’s lane-change behavior to be forecast, which will help to develop better advanced driver assistance systems for vehicle controls with respect to lane-change and car-following warning functions.


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