scholarly journals Drivers Training based on Data from Accelerometer

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Driver Training ◽  
Driving Style ◽  
Average Speed ◽  
Mems Accelerometers ◽  
Transport Experiment

In the article, the application of modern MEMS accelerometers to evaluate driver training is discussed. Data from a transport experiment with Tatra 815 on a training polygon consisting of 4 types of surfaces were used, and the driver completed 4 individual laps. The tested parameters showed statistically significant differences between selected laps and surfaces (sections) depending on the driving style and the average speed. It is clear from the evaluation of the ride that the driver is gradually improving when driving on the polygon, as assumed. However, from a certain moment the magnitude of generated shocks exceeds normatively determined values. The design part determines specific requirements on driving characteristics of a driver during a driver training.

Effect of driver behaviour, driving events and road type on the stability and resting behaviour of sheep in transit

2004 ◽  
Vol 79 (1) ◽  
pp. 165-176 ◽  
Author(s):  
M. S. Cockram ◽  
E. M. Baxter ◽  
L. A. Smith ◽  
S. Bell ◽  
C. M. Howard ◽  
...  
Keyword(s):  
Major Influence ◽  
Vehicle Speed ◽  
Driver Behaviour ◽  
Driver Training ◽  
Driving Style ◽  
Resting Behaviour ◽  
Number Of Factors ◽  
Road Type ◽  
The Stability ◽  
In Transit

AbstractThe aim of this project was to examine the relationships between driver behaviour and driving events during a journey and the behavioural responses of sheep to these events. Driving style can have a major influence on the welfare of the animals by affecting the risk of injury and by disturbing the ability of the sheep to rest. Two drivers each drove groups of 10 sheep in a 5·5-tonne, single-deck, non-articulated livestock vehicle on five 7-h road journeys consisting of minor roads, main single carriageways and a motorway. The driver, the driver’s view through the windscreen, the speedometer and the sheep were video recorded. Differences in driving style were identified as differences in vehicle speed, rapid braking and the number of corners taken with high cornering g-force. Differences in driving style had a slight effect on the frequency of losses of balance by the sheep and a more significant effect on the degree of disturbance to the sheep and on their ability to rest during the journey. Losses of balance were common, but falls were rare. About 80% of the losses of balance could have been caused by driving events, such as acceleration, braking, stopping, cornering, gear changes and uneven road surfaces. Only about 22% of driving events were followed by a loss of balance. It is likely that driving events were also responsible for many interruptions to both lying behaviour and rumination. Clear benefits of motorway driving compared with single carriageway driving were fewer losses of balance, more lying down, more rumination and fewer disturbances amongst the sheep. This study provides evidence that would be useful for driver training and education to promote careful driving as a means of ensuring the welfare of animals in-transit. The quality of the journey experienced by sheep during transport is dependent upon a number of factors that can be influenced by the driver of the vehicle.

Subtle Impact of Akt1 and Akt3 on Exploratory Behavior in Gene Targeted Mice

2015 ◽  
Vol 223 (3) ◽  
pp. 173-180 ◽  
Author(s):  
Christina Leibrock ◽  
Michael Hierlmeier ◽  
Undine E. Lang ◽  
Florian Lang
Keyword(s):  
Forced Swimming Test ◽  
Open Field Test ◽  
Wild Type ◽  
Average Speed ◽  
Closed Area ◽  
Light Area ◽  
Swimming Test ◽  
The Impact ◽  
Center Area ◽  
Dark Transition

Abstract. The present study explored the impact of Akt1 and Akt3 on behavior. Akt1 (akt1-/-) and Akt3 (akt3-/-) knockout mice were compared to wild type (wt) mice. The akt1-/- mice, akt3-/- mice, and wt mice were similar in most parameters of the open-field test. However, the distance traveled in the center area was slightly but significantly less in akt3-/- mice than in wt mice. In the light/dark transition test akt1-/- mice had significantly lower values than wt mice and akt3-/- mice for distance traveled, number of rearings, rearing time in the light area, as well as time spent and distance traveled in the entrance area. They were significantly different from akt3-/- mice in the distance traveled, visits, number of rearings, rearing time in the light area, as well as time spent, distance traveled, number of rearings, and rearing time in the entrance area. In the O-maze the time spent, and the visits to open arms, as well as the number of protected and unprotected headdips were significantly less in akt1-/- mice than in wt mice, whereas the time spent in closed arms was significantly more in akt1-/- mice than in wt mice. Protected and unprotected headdips were significantly less in akt3-/- mice than in wt mice. In closed area, akt3-/- mice traveled a significantly larger distance at larger average speed than akt1-/- mice. No differences were observed between akt1-/- mice, akt3-/- mice and wt-type mice in the time of floating during the forced swimming test. In conclusion, akt1-/- mice and less so akt3-/ mice display subtle changes in behavior.

Driving Style Influence on Vehicles Performances

2018 ◽  
Vol 1 (1) ◽  
pp. 39-42
Author(s):  
Laszlo Barothi ◽  
◽  
Daniel Sava ◽  
Cătălin-Dumitru Darie ◽  
Leonard-Iulian Cucu ◽  
...  
Keyword(s):  
Driving Style

scholarly journals Variability of springtime transpacific pollution transport during 2000–2006: the INTEX-B mission in the context of previous years

2010 ◽  
Vol 10 (3) ◽  
pp. 1345-1359 ◽  
Author(s):  
G. G. Pfister ◽  
L. K. Emmons ◽  
D. P. Edwards ◽  
A. Arellano ◽  
T. Campos ◽  
...  
Keyword(s):  
Transport Model ◽  
Pollution Transport ◽  
Chemistry Transport Model ◽  
Pollution Levels ◽  
Annual Variability ◽  
Source Regions ◽  
Time Period ◽  
The Pacific ◽  
The Us ◽  
Transport Experiment

Abstract. We analyze the transport of pollution across the Pacific during the NASA INTEX-B (Intercontinental Chemical Transport Experiment Part B) campaign in spring 2006 and examine how this year compares to the time period for 2000 through 2006. In addition to aircraft measurements of carbon monoxide (CO) collected during INTEX-B, we include in this study multi-year satellite retrievals of CO from the Measurements of Pollution in the Troposphere (MOPITT) instrument and simulations from the chemistry transport model MOZART-4. Model tracers are used to examine the contributions of different source regions and source types to pollution levels over the Pacific. Additional modeling studies are performed to separate the impacts of inter-annual variability in meteorology and dynamics from changes in source strength. Interannual variability in the tropospheric CO burden over the Pacific and the US as estimated from the MOPITT data range up to 7% and a somewhat smaller estimate (5%) is derived from the model. When keeping the emissions in the model constant between years, the year-to-year changes are reduced (2%), but show that in addition to changes in emissions, variable meteorological conditions also impact transpacific pollution transport. We estimate that about 1/3 of the variability in the tropospheric CO loading over the contiguous US is explained by changes in emissions and about 2/3 by changes in meteorology and transport. Biomass burning sources are found to be a larger driver for inter-annual variability in the CO loading compared to fossil and biofuel sources or photochemical CO production even though their absolute contributions are smaller. Source contribution analysis shows that the aircraft sampling during INTEX-B was fairly representative of the larger scale region, but with a slight bias towards higher influence from Asian contributions.

scholarly journals Concept of an Ontology for Automated Vehicle Behavior in the Context of Human-Centered Research on Automated Driving Styles

Information ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 21
Author(s):  
Johannes Ossig ◽  
Stephanie Cramer ◽  
Klaus Bengler
Keyword(s):  
Driving Behavior ◽  
Automation System ◽  
Automated Driving ◽  
Driving Style ◽  
Driving Experience ◽  
Automated Vehicle ◽  
Future Design ◽  
Vehicle System ◽  
The Future ◽  
Conceptual Distinction

In the human-centered research on automated driving, it is common practice to describe the vehicle behavior by means of terms and definitions related to non-automated driving. However, some of these definitions are not suitable for this purpose. This paper presents an ontology for automated vehicle behavior which takes into account a large number of existing definitions and previous studies. This ontology is characterized by an applicability for various levels of automated driving and a clear conceptual distinction between characteristics of vehicle occupants, the automation system, and the conventional characteristics of a vehicle. In this context, the terms ‘driveability’, ‘driving behavior’, ‘driving experience’, and especially ‘driving style’, which are commonly associated with non-automated driving, play an important role. In order to clarify the relationships between these terms, the ontology is integrated into a driver-vehicle system. Finally, the ontology developed here is used to derive recommendations for the future design of automated driving styles and in general for further human-centered research on automated driving.

The Analysis of Urban Road Traffic State Based on Kinds Floating Car Data

2014 ◽  
Vol 694 ◽  
pp. 80-84
Author(s):  
Xiao Tong Yin ◽  
Chao Qun Ma ◽  
Liang Peng Qu
Keyword(s):  
Road Traffic ◽  
Velocity Estimation ◽  
Least Square ◽  
Single Type ◽  
Estimation Model ◽  
Average Speed ◽  
Urban Road ◽  
Traffic State ◽  
Floating Car Data ◽  
Different Types

The analysis of the unban road traffic state based on kinds of floating car data, is based on the model and algorithm of floating car data preprocessing and map matching, etc. Firstly, according to the characteristics of the different types of urban road, the urban road section division has been carried on the elaboration and optimization. And this paper introduces the method of calculating the section average speed with single floating car data, also applies the dynamic consolidation of sections to estimate the section average velocity.Then the minimum sample size of floating car data is studied, and section average velocity estimation model based on single type of floating car data in the different case of floating car data sample sizes has been built. Finally, the section average speed of floating car in different types is fitted to the section average car speed by the least square method, using section average speed as the judgment standard, the grade division standard of urban road traffic state is established to obtain the information of road traffic state.

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