The document discusses various characteristics of drivers that transportation engineers consider, including visual perception abilities, reaction time, and how these characteristics may decline for older drivers. It describes the visual acuity test and factors that affect static and dynamic visual acuity. It also outlines the four phases of the perception-reaction process and notes that the recommended time for design is 2.5 seconds, though this may not cover all situations. For older drivers specifically, it notes reduced abilities like visual acuity and flexibility.
Traffic Characteristics: (i) Road user’s characteristics - general human characteristics, physical, mental and emotional factors, factors affecting reaction time, PIEV theory. (ii) Vehicular characteristics :( static and dynamic), Characteristics affecting road design-width, height, length and other dimensions. Weight, power, speed and braking capacity of a vehicle
Driver Fatigue Monitoring System Using Eye ClosureIJMER
Abstract: Now-a-days so many road accidents occur due to driver distraction while he is driving. Those accidents are broadly depends upon wide range of driver state such as drowsy state, alcoholic state, depressed state etc. Even driver distraction and conversation with passengers during driving can lead in major problems. To address the problem we propose a Driver fatigue Monitoring and
warning system based on eye-tracking, which is consider as active safety system. This system is useful and helpful for drivers to be alert while driving. Eye tracking is one of the major technologies for future driver system since human eyes contains much information. Sleepiness reduces reaction time of safe driving. The driver distraction is measured by the person eye closure rate for certain period while driving. It is implemented by comparing the image extracted from video and the video that is currently
performing. The percentage of eyes is compared from both the frames, if the driver is suspected to be sleeping then a warning alarm is given to alert the driver
Driver Fatigue Monitoring System Using Eye ClosureIJMER
Now-a-days so many road accidents occur due to driver distraction while he is driving.
Those accidents are broadly depends upon wide range of driver state such as drowsy state, alcoholic
state, depressed state etc. Even driver distraction and conversation with passengers during driving
can lead in major problems. To address the problem we propose a Driver fatigue Monitoring and
warning system based on eye-tracking, which is consider as active safety system. This system is useful
and helpful for drivers to be alert while driving. Eye tracking is one of the major technologies for
future driver system since human eyes contains much information. Sleepiness reduces reaction time of
safe driving. The driver distraction is measured by the person eye closure rate for certain period while
driving. It is implemented by comparing the image extracted from video and the video that is currently
performing. The percentage of eyes is compared from both the frames, if the driver is suspected to be
sleeping then a warning alarm is given to alert the driver.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Fleet Management and Driver safety solutions for field service organizations. Focused on best practices for driver behavior and fleet management and optimization for field service and mobile workforces
Eye Gesture Analysis for Prevention of Road Accidentsijsrd.com
Around the globe, death is a daily occurrence mainly due to accidents. Research has been conducted intensively to attempt reduce accidents and extemporize the Driver Assistance System. The core idea for this paper is depicted through a process evolved to enhance effectively the Intelligent Driver assistance system and also a safety system to access the driver's perspectives with vehicles. The system uses a dynamic CCD camera in the vehicle that observes the driver's face. A prototype to match the approach is used to compare the Driver's eye pattern with a set of existing templates of the driver gazing at various focal points inside the vehicle. The windscreen is further divided into segments and a comparison of the driver's eye gaze pattern with the existing stencil determines the driver's view point on the windscreen. For instance, in case the driver is detected to be drowsy with closed eyelids for more than a few seconds then he will be alerted automatically.
Field Service GreenRoad Fleet Management WebinarMiles Driven
Field Service and GreenRoad present best practices for Fleet Management Safety for mobile workforces. Highlighting driver safety, driver behavior, telematics, Fleet Management, hours of service, fuel savings
Development of Nighttime Visibility Assessment System for road using a Low Li...inventionjournals
Although the numbers of traffic accidents and fatalities in Korea have been decreased constantly, traffic accidents during night time have not been decreased. Thus, it is necessary to conduct comprehensive studies that can investigate, analyze, and assess the visibility environment of drivers in order to ensure safety in roads during nighttime. The purpose of this study is to develop the technology of acquiring and analyzing the nighttime driving environment in roads from driver's viewpoints. For this purpose, this study suggests a nighttime visibility assessment system that can quantify suitability. To do this, this study defined driver's visibility and selected effectiveness scale thereby developing an assessment model that reflected driver's level of recognition. The suggested system is developed consisting of two parts: the investigation device using a low light cameraequipped with investigation program and the web-based assessment program utilizing the document database. In the future, verification on the system will be conducted under various drivers’ visual environments and pilot field application will be planned to improve accuracy of assessment on nighttime road visibility based on the system.
TOP 10 B TECH COLLEGES IN JAIPUR 2024.pptxnikitacareer3
Looking for the best engineering colleges in Jaipur for 2024?
Check out our list of the top 10 B.Tech colleges to help you make the right choice for your future career!
1) MNIT
2) MANIPAL UNIV
3) LNMIIT
4) NIMS UNIV
5) JECRC
6) VIVEKANANDA GLOBAL UNIV
7) BIT JAIPUR
8) APEX UNIV
9) AMITY UNIV.
10) JNU
TO KNOW MORE ABOUT COLLEGES, FEES AND PLACEMENT, WATCH THE FULL VIDEO GIVEN BELOW ON "TOP 10 B TECH COLLEGES IN JAIPUR"
https://www.youtube.com/watch?v=vSNje0MBh7g
VISIT CAREER MANTRA PORTAL TO KNOW MORE ABOUT COLLEGES/UNIVERSITITES in Jaipur:
https://careermantra.net/colleges/3378/Jaipur/b-tech
Get all the information you need to plan your next steps in your medical career with Career Mantra!
https://careermantra.net/
Traffic Characteristics: (i) Road user’s characteristics - general human characteristics, physical, mental and emotional factors, factors affecting reaction time, PIEV theory. (ii) Vehicular characteristics :( static and dynamic), Characteristics affecting road design-width, height, length and other dimensions. Weight, power, speed and braking capacity of a vehicle
Driver Fatigue Monitoring System Using Eye ClosureIJMER
Abstract: Now-a-days so many road accidents occur due to driver distraction while he is driving. Those accidents are broadly depends upon wide range of driver state such as drowsy state, alcoholic state, depressed state etc. Even driver distraction and conversation with passengers during driving can lead in major problems. To address the problem we propose a Driver fatigue Monitoring and
warning system based on eye-tracking, which is consider as active safety system. This system is useful and helpful for drivers to be alert while driving. Eye tracking is one of the major technologies for future driver system since human eyes contains much information. Sleepiness reduces reaction time of safe driving. The driver distraction is measured by the person eye closure rate for certain period while driving. It is implemented by comparing the image extracted from video and the video that is currently
performing. The percentage of eyes is compared from both the frames, if the driver is suspected to be sleeping then a warning alarm is given to alert the driver
Driver Fatigue Monitoring System Using Eye ClosureIJMER
Now-a-days so many road accidents occur due to driver distraction while he is driving.
Those accidents are broadly depends upon wide range of driver state such as drowsy state, alcoholic
state, depressed state etc. Even driver distraction and conversation with passengers during driving
can lead in major problems. To address the problem we propose a Driver fatigue Monitoring and
warning system based on eye-tracking, which is consider as active safety system. This system is useful
and helpful for drivers to be alert while driving. Eye tracking is one of the major technologies for
future driver system since human eyes contains much information. Sleepiness reduces reaction time of
safe driving. The driver distraction is measured by the person eye closure rate for certain period while
driving. It is implemented by comparing the image extracted from video and the video that is currently
performing. The percentage of eyes is compared from both the frames, if the driver is suspected to be
sleeping then a warning alarm is given to alert the driver.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Fleet Management and Driver safety solutions for field service organizations. Focused on best practices for driver behavior and fleet management and optimization for field service and mobile workforces
Eye Gesture Analysis for Prevention of Road Accidentsijsrd.com
Around the globe, death is a daily occurrence mainly due to accidents. Research has been conducted intensively to attempt reduce accidents and extemporize the Driver Assistance System. The core idea for this paper is depicted through a process evolved to enhance effectively the Intelligent Driver assistance system and also a safety system to access the driver's perspectives with vehicles. The system uses a dynamic CCD camera in the vehicle that observes the driver's face. A prototype to match the approach is used to compare the Driver's eye pattern with a set of existing templates of the driver gazing at various focal points inside the vehicle. The windscreen is further divided into segments and a comparison of the driver's eye gaze pattern with the existing stencil determines the driver's view point on the windscreen. For instance, in case the driver is detected to be drowsy with closed eyelids for more than a few seconds then he will be alerted automatically.
Field Service GreenRoad Fleet Management WebinarMiles Driven
Field Service and GreenRoad present best practices for Fleet Management Safety for mobile workforces. Highlighting driver safety, driver behavior, telematics, Fleet Management, hours of service, fuel savings
Development of Nighttime Visibility Assessment System for road using a Low Li...inventionjournals
Although the numbers of traffic accidents and fatalities in Korea have been decreased constantly, traffic accidents during night time have not been decreased. Thus, it is necessary to conduct comprehensive studies that can investigate, analyze, and assess the visibility environment of drivers in order to ensure safety in roads during nighttime. The purpose of this study is to develop the technology of acquiring and analyzing the nighttime driving environment in roads from driver's viewpoints. For this purpose, this study suggests a nighttime visibility assessment system that can quantify suitability. To do this, this study defined driver's visibility and selected effectiveness scale thereby developing an assessment model that reflected driver's level of recognition. The suggested system is developed consisting of two parts: the investigation device using a low light cameraequipped with investigation program and the web-based assessment program utilizing the document database. In the future, verification on the system will be conducted under various drivers’ visual environments and pilot field application will be planned to improve accuracy of assessment on nighttime road visibility based on the system.
TOP 10 B TECH COLLEGES IN JAIPUR 2024.pptxnikitacareer3
Looking for the best engineering colleges in Jaipur for 2024?
Check out our list of the top 10 B.Tech colleges to help you make the right choice for your future career!
1) MNIT
2) MANIPAL UNIV
3) LNMIIT
4) NIMS UNIV
5) JECRC
6) VIVEKANANDA GLOBAL UNIV
7) BIT JAIPUR
8) APEX UNIV
9) AMITY UNIV.
10) JNU
TO KNOW MORE ABOUT COLLEGES, FEES AND PLACEMENT, WATCH THE FULL VIDEO GIVEN BELOW ON "TOP 10 B TECH COLLEGES IN JAIPUR"
https://www.youtube.com/watch?v=vSNje0MBh7g
VISIT CAREER MANTRA PORTAL TO KNOW MORE ABOUT COLLEGES/UNIVERSITITES in Jaipur:
https://careermantra.net/colleges/3378/Jaipur/b-tech
Get all the information you need to plan your next steps in your medical career with Career Mantra!
https://careermantra.net/
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
4. CHARACTERISTICS OF THE
DRIVER Traffic and transportation engineers are
considering various factors that can affect the
efficiency of transportation. One of these factors is
the driver's characteristics. Varying in their skills
and perceptual abilities where demonstrated by a
wide range of abilities to hear, see, evaluate, and
react to information. Studies have shown that these
abilities may also vary in an individual under
different conditions, such as the influence of
alcohol, fatigue, and the time of day. Therefore, it is
important that criteria used for design purposes be
compatible with the capabilities and limitations of
most drivers on the highway.
5. THE HUMAN RESPONSE
Actions taken by drivers on a road result from
their evaluation of and reaction to information they
obtain from certain stimuli that they see or hear.
However, evaluation and reaction must be carried out
within a very short time, as the information being
received along the highways is continually changing. It
is important that highway and traffic engineers have
some fundamental knowledge of visual perception as
well as of hearing perception.
7. VISUAL ACUITY
Visual acuity is the most common clinical
measurement of how your eyes function. It's
usually one of the first tests taken during a
comprehensive eye exam to determine how
sharp your vision is.
8. Visual acuity test is a critical part of identifying signs of
vision problems.
For example, it can detect refractive errors, more
commonly known as farsightedness and near-
sightedness.
Hyperopia (farsightedness) occurs when you have sharp
far-range vision while your close-range vision is less
clear.
Myopia (near-sightedness) is the opposite, your close-
range vision may be clear, while your far-range vision is
out of focus.
9. Two Types of Visual Acuity
Static Visual Acuity
Dynamic Visual Acuity
10. The driver's ability to identify an object when both
the object and the driver are stationary depends
on his or her static acuity.
Static Visual Acuity
Factors that affect static visual acuity
Background brightness
Contrast
Time
11. Dynamic Visual
Acuity
The driver's ability to clearly detect
relatively moving objects, not necessarily
in his or her direct line of vision, depends
on the driver's dynamic visual acuity.
12. Peripheral Vision
The ability of people to see
objects beyond the cone of
clearest vision. Although
objects can be seen within
this zone, details and color
are not clear.
13. Color Vision
The ability to differentiate one
color from another, but
deficiency in this ability, usually
referred to as color blindness, is
not of great significance in
highway driving because other
ways of recognizing traffic
information devices (e.g., shape)
can compensate for it.
14. Glare Vision and
Recovery
Glare vision
Glare
Recovery
- Glare is light that interferes with your vision,
making it difficult to see or sometimes making
your eyes water.
- is the time required by a person to recover from
the effects of glare after passing the light source.
15. Two types of Glare Vision
Direct Glare
Specular Glare
16. Depth Perception
Affects the ability of a person to
estimate speed and distance. It
is particularly important on two-
lane highways during passing
maneuvers, when head-on
crashes may result from a lack of
proper judgment of speed and
distance.
17. Hearing Perception
The ear receives sound stimuli, which is
important to drivers only when warning
sounds, usually given out by emergency
vehicles, are to be detected. Loss of some
hearing ability is not a serious problem,
since it normally can be corrected by a
hearing aid.
20. 04
The driver sees a
control device, warning
sign, or object on the
road.
The driver identifies the object
or control device and thus
understands the stimulus.
PERCEPTION IDENTIFICATION
21. 04
The driver decides what
action to take in response to
the stimulus; for example, to
step on the brake pedal, to
pass, to swerve, or to
change lanes.
The driver actually
executes the action decided
on during the emotion sub-
process.
EMOTION
REACTION OR
VOLITION
22. Time elapses during each of these
subprocesses. The time that elapses from the
start of perception to the end of reaction is the
total time required for perception, identification,
emotion, and volition, sometimes referred to as
PIEV time or (more commonly) as perception-
reaction time.
23. ⚫ An important factor in the determination of
braking distances, which in turn dictates the
minimum sight distance required on a highway and
the length of the yellow phase at a signalized
intersection.
⚫ Varies among individuals and may, in fact, vary
for the same person as the occasion changes.
⚫These changes in perception-reaction time
depend on how complicated the situation is, the
existing environmental conditions, age, whether the
person is tired or under the influence of drugs
and/or alcohol, and whether the stimulus is
PERCEPTION –
REACTION TIME
24. TRIGGS AND HARRIS
• They noted that the 85th-percentile time to
brake, obtained from several situations,
varied from 1.26 to over 3 seconds.
25. The reaction time selected for design purposes should,
however, be large enough to include reaction times for most
drivers using the highways. Recommendations made by the
American Association of State Highway and Transportation
Officials (AASHTO) stipulate 2.5 seconds for stopping-sight
distances. This encompasses the decision times for about 90
percent of drivers under most highway conditions. Note,
however, that a reaction time of 2.5 second may not be
adequate for unexpected conditions or for some very
complex conditions, such as those at multiphase at-grade
intersections and ramp terminals. For example, when signals
are unexpected, reaction times can increase by 35 percent.
27. As older drivers seem to be depending more on the
automobile for meeting their transportation needs, it
is very important that traffic and highway engineers
consider these diminished characteristics of older
drivers in making decisions on highway design and
operational characteristics that are influenced by
human characteristics.
28. Specific declining abilities of older drivers include reduced visual
acuity, ability to see at night, and flexibility and motion range. This
group also suffers from narrower visual fields, greater sensitivity to
glare, higher reaction times, and reduced muscle strength, which may
result in the older driver having a higher crash risk. For example,
reduction in visual acuity results in older drivers being less capable
to discern letters on road signs, while greater sensitivity to glare
results in older drivers taking a much longer time in recovering from
the disabling effect of glare and may therefore fail to respond to
roadway signs or roadway obstacles, particularly at work zones.