Smart Car to reduce risk of accident

Slides:



Advertisements
Similar presentations
Students : Hiba Ghannam Hawa’ Osama Supervisor : Aladdin Masri R OBOTIC V ACUUM C LEANER.
Advertisements

Smart Sensor Technology For Rail Network health Hawk Measurement Systems.
Fire Fighting Robot Prepared by: Fatima Darawsheh Jameela Rabaya.
SOLAR TRACKER PROJECT. INTRODUCTION: Solar tracker is a system that is used to track sun light to increase the efficiency of electricity gained from solar.
A.G.I.L.E Team Members: Brad Ramsey Derek Rodriguez Dane Wielgopolan Project Managers: Dr. Joel Schipper Dr. James Irwin Autonomously Guided Intelligent.
Hazard and Incident Warning « Majority of events occurring on the road represent a danger for road users » By transmitting road events and road status.
Autonomous Dual Navigation System Vehicle Dmitriy Bekker Sergei Kunsevich Computer Engineering Rochester Institute of Technology December 1, 2005 Advisor:
THE ROLE OF LOCAL GOVERNMENT IN ROAD TRAFFIC SAFETY Gorjan Nadzinski Mile Stankovski REPUBLIC OF MACEDONIA UNIVERSITY “Ss. CYRIL AND METHODIUS” - SKOPJE.
May Team Information Client Department of Electrical and Computer Engineering, Iowa State University Faculty Advisor Professor Gary Tuttle Team Members.
Sensors Cassandra, Gayathri, Rohan, Patrick. -Many distractions while driving -Want to dramatically reduce accidents that occur -Try to figure out ways.
THE Reference in Traffic Video Detection Benjamin Schiereck, Sales Manger Traficon Germany Improving road and tunnel safety via incident management: implementing.
1. This seminar paper is based upon the project work being carried out by the collaboration of Delphi- Delco Electronics (DDE) and General Motors Corporation.It.
AMMAR HAJ HAMAD IZZAT AL KUKHON SUPERVISOR : DR. LUAI MALHIS Self-Driven Car.
Mobile Controlled Car Students : Tasneem J. Hamayel Hanan I. Mansour Supervisor : Dr.Aladdin.
An-Najah National University Faculty of Engineering Auto-Tracking Solar Radiation System Prepared by : Mohammed Attayyeb Abbas Atabeh Hamza Zayed Aseel.
Smart Plant Robot Prepared by Haya De’bas Jumanah Salhab Supervisor Dr. Ra’ed Al-Qadi.
Self Parking Lara Sabah Yaqeen Salatneh Dr.Ashraf Armoush
Field dependence and driver visual search behavior Professor: Liu Student: Ruby.
IIHS 2 nd Annual Regional Safety Conference Emerging Vehicle Safety Technology October 18, 2007 Stephen Oesch.
Smart Parking System Using RFID Technology Prepared by :Aya Al-Fouqha Mais Al-Masri Dr. Saed Tarapiah.
PRESENTATION SEMINAR ON GOOGLE DRIVERLESS CAR
GPAR Manar Anabtawi Mays Al-Haj Qasem Dr.Sufyan Samara Prepared by Supervisor Examiners Dr.Luai Malhis Dr.Hanal Abu Zant.
Traffic accidents Traffic accidents are one of the most important problems in the world, as the failure of the negative repercussions for communities and.
Online Construction of Analytical Prediction Models for Physical Environments: Application to Traffic Scene Modeling Anurag Umbarkar, Shreyas K Rajagopal.
Safety Time. About Us We are students of the Technical Management course of the 11th year of INETE. We are now entering a contest of Junior Achievement.
Autonomous Brake Light Communication Phil Osteen Robot Name: Traffic Flobot EML 5666C, IMDL November 25, 2008.
 Introduction  What is Driverless Car ?  History  Component  Action  Technology  Advantages  Disadvantages  Conclusion  Reference.
The Smart Walker Project TEAM: CHEN ZHANG, YI LU PRESENTED BY: YI LU.
The SIPDE and Smith System “Defensive Driving Techniques”
Introduction To Defensive Driving  S.I.P.D.E. and “The Smith System” have been two key components of defensive driving for over 25 years.  Drivers who.
Black-Burst-Based Multihop Broadcast Protocols for Vehicular Networks Gökhan Korkmaz, Eylem Ekici, and Füsun Özgüner Member, IEEE IEEE TVT 2007.
Intelligent and Non-Intelligent Transportation Systems 32 Foundations of Technology Standard 18 Students will develop an understanding of and be able to.
DEPARTMENT OF EEE IFET COLLEGE OF ENGINEERING VILLUPURAM,TAMIL NADU,INDIA Project proposal For IEEE CS 70 th Anniversary Student Challenge On PATHLINE.
WEL-COME. PLANT AND POLYHOUSE SECURITY MODEL A BOON FOR FARMER.
O1 Routing and scheduling.
Automatic Dual Axis Solar Tracking system Prepared by: Reem AL-khateeb Yasmeen Hanani Supervised by: Dr.Saed Tarapiah 1.
VEMANA INSTITUTE OF TECHNOLOGY,BANGALORE
Network of Vehicles By, Adarsh R S.
Intelligent Transportation System
Smart Parking Application
ANTI-COLLISON AND BRAKING SYSTEM
connect a DC-Motor with an arduino
PRESENTED BY:BHABESH RANJAN MAHAKUD
PRESENTED BY: SHAHIN HUSSAN
Alaa Omar Rana Diab Supervised by Dr.Raed Jaber
by speeding Car accidents
Risk Management.
Ahmed Damoni Ahmed Sabha.
Autonomous CAR.
“TRACTION CONTROL SYSTEM”
Robotic Vacuum Cleaner
Smart Car to reduce risk of accident
Smart Car Robot Prepared by Supervised by Mai Asem Abushamma
Semi-Autonomous Car Prepared by: Sahar Qawariq & Deema Hamdan
Prepared By : wala’ Hamad Khayrieh Homran
Supervisor: Prof. Marwan Mahmoud Prepared by: Laith Musallam Gazi Arar
Directional Driver Hazard Advisory System
Balanduino Supervisor: Dr. Raed Al-Qadi Prepared by: Nadeen Kalboneh Nardeen Mabrouk.
Congestion problems Accidents during congestion.
Smart Parking Market worth 5.25 Billion USD by 2021.
Working Principle of Blind Spot Detection Technology in Cars
Prepared by : fatheyah faqih Supervisor:Dr.Falah Hassn
WATCH OUT DANGER ON THE ROAD!!
Bluetooth operated Arduino Controlled Car
What is The Smith System?
Elecbits Ultrasonic RADAR.
Prepared by : TOLERA TAMIRU SAMSON NIGUSE Microcontroller based Fire Fighting Robot.
Autonomous Delivery Robot
Likelihood 4 Allow 8 Mitigate 12 Avoid 16 3 Accept Severity
Presentation transcript:

Smart Car to reduce risk of accident Anas Mahmoud Ahmad Alqasim Samer Salameh

Outline Introduction Methodology Design of our project Literature Review(Volvo experiment) Result Conclusion Question's

Introduction The main aims of an accident avoidance system are to avoid a loss of life and provide a safety mechanism for the driver. Avoidance accident is intended to be an installable safety system for existing cars that can aid the operator in avoiding hidden obstacles.

Methodology

Problems: Deviation of the vehicle:Problem 1

Problem 2:Distances between the Vehicles

Problem 3: Fog weather

Design of our project

Components: Ultrasonic sensor()

Components: Arduino UNO

Components: Dual h bridge

Components: DC Motor

Functional Flow Chart

Searching for our project element The price of the element Result Searching for our project element The price of the element

Result Description Ropot Car Two Motors Batteres Ultra sonic sensor Estimated price Description 30 $ Ropot Car 10 $ Two Motors 5 $ Batteres 20 $ Ultra sonic sensor H-Bridge 15 $ Microcontroller Other equipment 110 $ Total expected price

Conclusion Reduce accidents is a global goal that every country seeks to achieve. So we design smart car, we sought through design to reduce the most dangerous and the most frequent accidents! So we tried to underestimate the impact of two types of accidents, first when vehicle deviation from the road and the other case When lack of vision on the road. The probability of success of the system in the return of the vehicle back on track, depend on the vehicle speed and the speed of system response ,therefore, the system will help reduce accidents or reduce the impact of the incident , and we will try to get the system a high efficiency.

Question's ??