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United Arab Emirates University College of Engineering Graduation project (2). In Depth Investigation of Road Crashes in Al Ain. Instructor: Dr. A.Mehmood Aisha Ali Obaid 200309637 Eiman Abdulla Ali 200210179

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in depth investigation of road crashes in al ain

United Arab Emirates University

College of Engineering

Graduation project (2)

In Depth Investigation of Road Crashes in Al Ain

Instructor: Dr. A.Mehmood

Aisha Ali Obaid 200309637

Eiman Abdulla Ali 200210179

MahraDarwish Abdulla 200309604

Mouza Abdulla Al Hebsi 200310921

outline
Outline
  • Introduction
  • Objective and Scope
  • Methodology
  • Conclusion
introduction
Introduction
  • This project focuses on the road safety problem in Al Ain. The city of Al-Ain is the fourth largest city in the UAE. The population of Al Ain has increased about 23 percent from 2005 to 2007(from 421948 to 520000).

Location map of Al Ain

slide4

Due to enormous increase in the population, the traffic volume increased substantially.

  • Total number of crashes increased about 15 percent from 2005 to 2007 (from 830 to 961)
  • Total number of fatal crashes increased about 63 percent from 2005 to 2007 (From 203 to 331).
objective and scope
Objective and Scope
  • The objective of this project is to investigate the road crash data of Al Ain to identify the causes of crashes.
  • Following tasks are carried out to achieve this objective:
  • Collecting the time- series road crash data of Al Ain
  • Preparing the data for analysis including translation from Arabic to English language
  • Analyzing road crash data using Microsoft Excel and TransCAD
methodology
Methodology
  • In Graduation Project 1 (GP1) most of time spent in collecting data, translating data, preparing data for analysis and literature review regarding different statistical methods for analyzing road crash data.
  • In Graduation Project 2 (GP2) statistical techniques were applied to identify the significance of factors contributing to road crashes.
data collection
Data Collection

The collected data cover a wide range of factors, these factors are :

  • Degree of injury
  • Causes of road crashes
  • Road name
  • Age of driver
  • Police station where road crash occurred
  • Type of road crashes
  • City districts where road crash occurred
slide9

The map of Al Ain that has name of zones, roads, intersections and other information was obtained from Al Ain Municipality which shown on figure.

data manipulation
Data Manipulation
  • The data provided by the MoI was in Arabic language in MS Excel format that included whole Emirate of Abu Dhabi. The data related to Al Ain for three years was separated and then translated into English.
slide11

The screen shot of actual data of one year (2007)

The translated data for Al Ain (2007)

preliminary data analysis
Preliminary Data Analysis
  • Some indicators such as total number of road crashes and fatal crash rate per 100,000 populations were plotted over the years 2005 to 2007.
spatial analysis of road crashes
Spatial analysis of road crashes

Data corresponding to each zone of Al Ain

Geographic features of Al Ain zones

slide19

There are 58 zones. Only the first 30 zones (from Al Masoudi to Central District) were chosen. The other zones from 31 to 58 in table (2) are not considered because road crash data for these zones was not consistent with the GIS map.

displaying location of crashes
Displaying location of crashes
  • The coordinates defining location of road crashes were not available in the data. The information available related to location of road crashes were the name of road and the district name or closest intersection where crash were occurred.
the steps followed to estimate the location of crashes are
The steps followed to estimate the location of crashes are:
  • Step 1.
  • A layer of points was created in Trans CAD where each point represented a zone of Al Ain
  • In this point layer Trans CAD automatically generated coordinates (longitude and latitude) for each point
  • The points layer was saved in .dbf format to open it in MS Excel.
slide23

Step 2.

  • In MS Excel the data related to crashes was organized based on zone IDs similar to the IDs in the point layer
  • The road crash data was copied to point layer based on matching the IDs of zones
  • The point layer file was opened in TransCAD
  • The coordinates were copied depend on the number of street surrounding each zone and then two new columns added, one for number of crashes and the other one for name of street
slide24

ID, coordinate, name of street and number of crashes during 2005

Location of crashes by road during 2005

slide25

*each point moved manually close/on the road.

Location of crashes by road during 2005

another method
Another method
  • Another layer created to show each road crash as one specific point. This layer made to show all information from the MoI data about each road crash in TransCAD. Each point represents one specific crash.
slide30

table shows all information for each point such as ID, coordinate, name of street, age, cause of crash, degree of injury, etc.

Each point represents one specific crash

Road crashes and information for each crash during 2007

slide31

For simplicity, thirty zones were divided in to 7 groups depending on the number of crashes.

Seven groups, each one contain 3 to 5 zones

relation between traffic safety and economic growth in the uae
Relation between traffic safety and economic growth in the UAE
  • The relationship between traffic safety and economic growth derives from a number of different components. Economic growth trigger the expansion on infrastructure and the possibility of traffic crash. Also, economic growth is a condition in order to prevent traffic crashes. On the other hand, a well-developed infrastructure with a low rate of crashes is beneficial for the economic growth
conclusion
Conclusion
  • Final Results of the project
  • Critical Groups ( groups with higher crashes)
  • Critical Roads ( roads with higher crashes )
  • Critical Factors affecting on Road Crashes
    • Causes
    • Age Group
1 critical groups groups with higher crashes
1) Critical Groups ( groups with higher crashes)

Group 2 which includes ( Al Qattara, Al Jimi, Al Towayya, Al Khabisi, and Al Masoudi).

  • Center of Al Ain.
  • More activity places (Al Qattara club, Malls, Universities, Hospitals, Court, etc).
  • High population (High Traffic Volume).