טכניון מכון טכנולוגי לישראל
הטכניון מכון טכנולוגי לישראל - בית הספר ללימודי מוסמכים  
M.Sc Thesis
M.Sc StudentTzour Tzafrir
SubjectIncreasing Driving Safety through Quality Assurance
DepartmentDepartment of Quality Assurance and Reliability
Supervisor Professor Gedalyahu Manor


Abstract

Measuring is an inseparable part of any Quality Assurance System. Throughout the driving process the driver needs to know or to be able to estimate different variables but without the actual ability to do so. As a result, most of the decisions that the driver makes are based on his instincts which are improved over time with experience but still, the smallest mistake can lead to an accident.

Today we are able to monitor the car and the driver actions during the driving process. Whenever a deviation is identified a warning is sent to the driver and at times even an intervention can occur in order to prevent an accident.

The basic driving process combined with an advanced system can be brought to a stable state within predefined control limits to avoid accidents. This can be achieved using the following algorithm:

  1. Measuring
  2. Warning
  3. Automatic interfering

The driving process is divided to 2 sub processes:

  1. pre-driving checks - adjusting the driving environment, etc.
  2. driving:
    1. receive data
    2. process the data
    3. respond accordingly

Most of the control limits are drawn from driving laws and regulations.

The main weaknesses in the driving process are in the receiving and processing of the data by driver.

Accidents cost more then 12 billion NIS a year, using PARATO analysis we can see that treating 30% of the causes can prevent up to 80% of the accidents and save more then 8 billion NIS.

The main causes for accidents are: speeding, failing to keep a safe distance between cars, lane deviation and disobeying traffic signs. Using advanced measurement systems can eliminate most of them and prevent accidents from occurring:

  • Tracking systems- provide the driver with information on whether the distance of the vehicle in front of him complies with the safety regulations.
  • Lane deviation prevention systems- recognize lane deviations and initiate warnings when the deviations are dangerous.
  • Traffic signs warning systems- Nearly 30% of the accidents are a result of disobedience to traffic signs. These systems, which are based on wireless technology, read the traffic signs along the way and verify obedience by issuing warnings and interventions.
  • Advanced driver helper- These systems monitor and record different dynamic parameters of the vehicle motion in order to recognize aggressive driving patterns  and issue warning accordingly.

Integrating these advanced systems in vehicles will improve safety levels, prevent accidents and save a significant amount of money to the Israeli economy.