SlideShare a Scribd company logo
FACTORS AFFECT TO PEDESTRIAN VISIBILITY AT
NIGHT FOR MOTOR BICYCLES
Faculty of Engineering
General Sir John Kotelawala Defence University
4388
Officer Cadet
HMIWB HERATH
Supervised by: Dr.Ishani Dias
INTRODUCTION
 At night time, motor bicycle riders fail to recognize the
pedestrian at a reasonable distance due to many factors
such as,
- Clothing colour pedestrian
- Rider's age
- Rider’s gender
- Head light condition of the motor bike
so that they are unable to avoid the collisions.
 The rider’s vision is heavily affected by the dim light. As
the result of that riders' ability to see the pedestrians in
night time is heavily reduce.
3
OBJECTIVES
 To determine the visibility distance with respect to
clothing colour of pedestrian, headlight beam condition of
motor bike, rider’s age and gender (experimental
analysis).
 To develop a mathematical model to estimate the
visibility distance at night.
 Select 10 participants as motor bike riders.
 Record the details such as age, gender, driving
experience.
 Consider following factors in the experiment,
• Gender of the rider
• Age of the rider
• Head light beam condition of the motor bike
Dim beam
High beam
• Consider four pedestrian dress colors (Red,
White, Black, Green)
METHODOLOGY
• Keep the pedestrian with certain
clothing at a clear point of the road.
• Ride the motor bike at the speed of 30
km/hr and maintain the constant speed
as much as possible.
• Ride the motor bike with certain head
light condition(dim or high).
• While rider confidently see the
pedestrian, press the horn and same
time starts the stop watch.(stop watch
is operating by the other one in the
motor bike by hearing the sound of the
sound of the horn).
• After motor bike passes the pedestrian, again press
the stop watch and take the time duration of first
seen of the pedestrian to reach the vehicle to the
pedestrian.
• Calculate the visibility distance with the help of
vehicle speed and above calculated time period.
• Continue the procedure and record the data by
changing the rider, pedestrian cloth colour,pedestrian
location and head light condition.
V=d/t
d=Vt
t=t1 t=t2
Visibility distance(d)
PROGRESS UP TO NOW
 Carried out test rides for 07 participants.
 Visibility distances was collected by doing the experiment for,
1. Pedestrian clothing colour.
2. Driver’s age.
3. Driver’s gender.
4. Beam condition of motor bicycle.
 56 observations was done.
 Data analysis is started and model developing is on going.
 Research paper writing is started. Introduction and Literature
review completed.
Figure :Test ride for dim beam,white color
pedestrian.
Figure :Test ride for high beam, white
color pedestrian.
TO BE DONE
Carry out test rides for the remaining 3 drivers
and collect the visibility distances for above
mentioned factors.(24 test rides to be done)
Develop the mathematical model to estimate the
pedestrian visibility at night.
Carry out a model fitness with SPSS softwere.
Complete the report writing.
Research task Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Literature review
Preparation of draft thesis
Data collection
Data analysis
Develop the model
Prepare & submit the
report
14
Thank you…
15

More Related Content

Similar to pedestrian visibility at night

Bike sharing analysis san francisco
Bike sharing analysis san franciscoBike sharing analysis san francisco
Bike sharing analysis san francisco
Navtej Singh Chawla
 
Spot speed studies.ppt .mylan nejyar
Spot speed studies.ppt .mylan nejyarSpot speed studies.ppt .mylan nejyar
Spot speed studies.ppt .mylan nejyar
Malika khalil
 
Rosenbloom simulator
Rosenbloom simulatorRosenbloom simulator
Rosenbloom simulator
MSullman
 
CE 366_Module 5.pptx
CE 366_Module 5.pptxCE 366_Module 5.pptx
CE 366_Module 5.pptx
NusfaKaruvattil
 
Project Proposal Presentation
Project Proposal PresentationProject Proposal Presentation
Project Proposal PresentationNadeem Qandeel
 
TRANSPORTATION_ENGINEERING_M4.pdf
TRANSPORTATION_ENGINEERING_M4.pdfTRANSPORTATION_ENGINEERING_M4.pdf
TRANSPORTATION_ENGINEERING_M4.pdf
Dr. BASWESHWAR JIRWANKAR
 
4. traffic engineering
4. traffic engineering4. traffic engineering
4. traffic engineering
holegajendra
 
Human-Motorcycle Interaction (HMI): Research issues in motorcycle ergonomics ...
Human-Motorcycle Interaction (HMI): Research issues in motorcycle ergonomics ...Human-Motorcycle Interaction (HMI): Research issues in motorcycle ergonomics ...
Human-Motorcycle Interaction (HMI): Research issues in motorcycle ergonomics ...
Marco Ajovalasit
 
Improving estimates of capacity of populations to make journeys by walking an...
Improving estimates of capacity of populations to make journeys by walking an...Improving estimates of capacity of populations to make journeys by walking an...
Improving estimates of capacity of populations to make journeys by walking an...
Institute for Transport Studies (ITS)
 
Immokalee's Crosswalk Future - Walkable Community
Immokalee's Crosswalk Future - Walkable CommunityImmokalee's Crosswalk Future - Walkable Community
Immokalee's Crosswalk Future - Walkable Community
DownYonderFLA
 
Strategies to reduce road traffic fatalities
Strategies to reduce road traffic fatalitiesStrategies to reduce road traffic fatalities
Strategies to reduce road traffic fatalities
Jeewantha Dias
 
Presentation on Spot Speed Study Analysis for the course CE 454
Presentation on Spot Speed Study Analysis for the course CE 454Presentation on Spot Speed Study Analysis for the course CE 454
Presentation on Spot Speed Study Analysis for the course CE 454
nazifa tabassum
 
Cars cars everywhere
Cars cars everywhereCars cars everywhere
Nurkkala
NurkkalaNurkkala
Nurkkala
MSullman
 
Kalermo
KalermoKalermo
Kalermo
MSullman
 
Chapter 3 characteristics of highway components
Chapter 3 characteristics of highway componentsChapter 3 characteristics of highway components
Chapter 3 characteristics of highway components
Fayaz Rashid
 
Taking electric bikes for a spin with the RAC WA e-Bike Tria
Taking electric bikes for a spin with  the RAC WA e-Bike TriaTaking electric bikes for a spin with  the RAC WA e-Bike Tria
Taking electric bikes for a spin with the RAC WA e-Bike Tria
JumpingJaq
 
Spot speed
Spot speedSpot speed
Spot speed
Adhikari Kssavv
 
Dr.Makendran Chapter -II Accident Studies & Collision Diagram .pdf
Dr.Makendran Chapter -II Accident Studies & Collision Diagram  .pdfDr.Makendran Chapter -II Accident Studies & Collision Diagram  .pdf
Dr.Makendran Chapter -II Accident Studies & Collision Diagram .pdf
makendran1
 
Mental models of eco driving
Mental models of eco drivingMental models of eco driving
Mental models of eco driving
Institute for Transport Studies (ITS)
 

Similar to pedestrian visibility at night (20)

Bike sharing analysis san francisco
Bike sharing analysis san franciscoBike sharing analysis san francisco
Bike sharing analysis san francisco
 
Spot speed studies.ppt .mylan nejyar
Spot speed studies.ppt .mylan nejyarSpot speed studies.ppt .mylan nejyar
Spot speed studies.ppt .mylan nejyar
 
Rosenbloom simulator
Rosenbloom simulatorRosenbloom simulator
Rosenbloom simulator
 
CE 366_Module 5.pptx
CE 366_Module 5.pptxCE 366_Module 5.pptx
CE 366_Module 5.pptx
 
Project Proposal Presentation
Project Proposal PresentationProject Proposal Presentation
Project Proposal Presentation
 
TRANSPORTATION_ENGINEERING_M4.pdf
TRANSPORTATION_ENGINEERING_M4.pdfTRANSPORTATION_ENGINEERING_M4.pdf
TRANSPORTATION_ENGINEERING_M4.pdf
 
4. traffic engineering
4. traffic engineering4. traffic engineering
4. traffic engineering
 
Human-Motorcycle Interaction (HMI): Research issues in motorcycle ergonomics ...
Human-Motorcycle Interaction (HMI): Research issues in motorcycle ergonomics ...Human-Motorcycle Interaction (HMI): Research issues in motorcycle ergonomics ...
Human-Motorcycle Interaction (HMI): Research issues in motorcycle ergonomics ...
 
Improving estimates of capacity of populations to make journeys by walking an...
Improving estimates of capacity of populations to make journeys by walking an...Improving estimates of capacity of populations to make journeys by walking an...
Improving estimates of capacity of populations to make journeys by walking an...
 
Immokalee's Crosswalk Future - Walkable Community
Immokalee's Crosswalk Future - Walkable CommunityImmokalee's Crosswalk Future - Walkable Community
Immokalee's Crosswalk Future - Walkable Community
 
Strategies to reduce road traffic fatalities
Strategies to reduce road traffic fatalitiesStrategies to reduce road traffic fatalities
Strategies to reduce road traffic fatalities
 
Presentation on Spot Speed Study Analysis for the course CE 454
Presentation on Spot Speed Study Analysis for the course CE 454Presentation on Spot Speed Study Analysis for the course CE 454
Presentation on Spot Speed Study Analysis for the course CE 454
 
Cars cars everywhere
Cars cars everywhereCars cars everywhere
Cars cars everywhere
 
Nurkkala
NurkkalaNurkkala
Nurkkala
 
Kalermo
KalermoKalermo
Kalermo
 
Chapter 3 characteristics of highway components
Chapter 3 characteristics of highway componentsChapter 3 characteristics of highway components
Chapter 3 characteristics of highway components
 
Taking electric bikes for a spin with the RAC WA e-Bike Tria
Taking electric bikes for a spin with  the RAC WA e-Bike TriaTaking electric bikes for a spin with  the RAC WA e-Bike Tria
Taking electric bikes for a spin with the RAC WA e-Bike Tria
 
Spot speed
Spot speedSpot speed
Spot speed
 
Dr.Makendran Chapter -II Accident Studies & Collision Diagram .pdf
Dr.Makendran Chapter -II Accident Studies & Collision Diagram  .pdfDr.Makendran Chapter -II Accident Studies & Collision Diagram  .pdf
Dr.Makendran Chapter -II Accident Studies & Collision Diagram .pdf
 
Mental models of eco driving
Mental models of eco drivingMental models of eco driving
Mental models of eco driving
 

Recently uploaded

Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
Neometrix_Engineering_Pvt_Ltd
 
English lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdfEnglish lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdf
BrazilAccount1
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
Kamal Acharya
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
Kamal Acharya
 
Investor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptxInvestor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptx
AmarGB2
 
block diagram and signal flow graph representation
block diagram and signal flow graph representationblock diagram and signal flow graph representation
block diagram and signal flow graph representation
Divya Somashekar
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
ydteq
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdf
AhmedHussein950959
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
Kamal Acharya
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
ankuprajapati0525
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
karthi keyan
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation & Control
 
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfThe Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdf
Pipe Restoration Solutions
 
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdfTop 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Teleport Manpower Consultant
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
AJAYKUMARPUND1
 
ethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.pptethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.ppt
Jayaprasanna4
 
Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
seandesed
 
Gen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdfGen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdf
gdsczhcet
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
VENKATESHvenky89705
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
JoytuBarua2
 

Recently uploaded (20)

Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
 
English lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdfEnglish lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdf
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
 
Investor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptxInvestor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptx
 
block diagram and signal flow graph representation
block diagram and signal flow graph representationblock diagram and signal flow graph representation
block diagram and signal flow graph representation
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdf
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
 
The Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdfThe Benefits and Techniques of Trenchless Pipe Repair.pdf
The Benefits and Techniques of Trenchless Pipe Repair.pdf
 
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdfTop 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
 
ethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.pptethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.ppt
 
Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
 
Gen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdfGen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdf
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
 

pedestrian visibility at night

  • 1. FACTORS AFFECT TO PEDESTRIAN VISIBILITY AT NIGHT FOR MOTOR BICYCLES Faculty of Engineering General Sir John Kotelawala Defence University 4388 Officer Cadet HMIWB HERATH Supervised by: Dr.Ishani Dias
  • 2. INTRODUCTION  At night time, motor bicycle riders fail to recognize the pedestrian at a reasonable distance due to many factors such as, - Clothing colour pedestrian - Rider's age - Rider’s gender - Head light condition of the motor bike so that they are unable to avoid the collisions.  The rider’s vision is heavily affected by the dim light. As the result of that riders' ability to see the pedestrians in night time is heavily reduce.
  • 3. 3
  • 4. OBJECTIVES  To determine the visibility distance with respect to clothing colour of pedestrian, headlight beam condition of motor bike, rider’s age and gender (experimental analysis).  To develop a mathematical model to estimate the visibility distance at night.
  • 5.  Select 10 participants as motor bike riders.  Record the details such as age, gender, driving experience.  Consider following factors in the experiment, • Gender of the rider • Age of the rider • Head light beam condition of the motor bike Dim beam High beam • Consider four pedestrian dress colors (Red, White, Black, Green) METHODOLOGY
  • 6. • Keep the pedestrian with certain clothing at a clear point of the road. • Ride the motor bike at the speed of 30 km/hr and maintain the constant speed as much as possible. • Ride the motor bike with certain head light condition(dim or high). • While rider confidently see the pedestrian, press the horn and same time starts the stop watch.(stop watch is operating by the other one in the motor bike by hearing the sound of the sound of the horn).
  • 7. • After motor bike passes the pedestrian, again press the stop watch and take the time duration of first seen of the pedestrian to reach the vehicle to the pedestrian. • Calculate the visibility distance with the help of vehicle speed and above calculated time period. • Continue the procedure and record the data by changing the rider, pedestrian cloth colour,pedestrian location and head light condition.
  • 9. PROGRESS UP TO NOW  Carried out test rides for 07 participants.  Visibility distances was collected by doing the experiment for, 1. Pedestrian clothing colour. 2. Driver’s age. 3. Driver’s gender. 4. Beam condition of motor bicycle.  56 observations was done.  Data analysis is started and model developing is on going.  Research paper writing is started. Introduction and Literature review completed.
  • 10. Figure :Test ride for dim beam,white color pedestrian. Figure :Test ride for high beam, white color pedestrian.
  • 11.
  • 12. TO BE DONE Carry out test rides for the remaining 3 drivers and collect the visibility distances for above mentioned factors.(24 test rides to be done) Develop the mathematical model to estimate the pedestrian visibility at night. Carry out a model fitness with SPSS softwere. Complete the report writing.
  • 13. Research task Mar Apr May Jun Jul Aug Sep Oct Nov Dec Literature review Preparation of draft thesis Data collection Data analysis Develop the model Prepare & submit the report
  • 14. 14

Editor's Notes

  1. 00971528859011