Control and prediction of traffic crashes in the residential streets in Iraq using the expert system

Residential streets suffer from various traffic safety problems related to traffic accidents, especially in low and middle-income countries. This research's objective was to develop a novel system for controlling and predicting traffic accidents in the residential streets using the expert syste...

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Bibliographic Details
Main Author:	Mohammed, Ali Ahmed
Format:	Thesis
Language:	English English English
Published:	2022
Subjects:	T Technology (General) T173.2-174.5 Technological change
Online Access:	http://eprints.uthm.edu.my/8388/1/24p%20ALI%20AHMED%20MOHAMMED.pdf http://eprints.uthm.edu.my/8388/2/ALI%20AHMED%20MOHAMMED%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8388/3/ALI%20AHMED%20MOHAMMED%20WATERMARK.pdf
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id	my-uthm-ep.8388
record_format	uketd_dc
spelling	my-uthm-ep.83882023-02-26T02:41:51Z Control and prediction of traffic crashes in the residential streets in Iraq using the expert system 2022-02 Mohammed, Ali Ahmed T Technology (General) T173.2-174.5 Technological change Residential streets suffer from various traffic safety problems related to traffic accidents, especially in low and middle-income countries. This research's objective was to develop a novel system for controlling and predicting traffic accidents in the residential streets using the expert system (CPTCRSI-ES). Knowledge of the CPTCRSI-ES was collected from domain experts and published sources. The system comprised nine modules: the module to identify types of car accidents–causes-preventive actions effects, module to identify safety problems and related solutions, module to find the speed calculation, module to find the cut-through traffic calculation, module to find the Equivalent Property Damage Only (EPDO), module to find residential density calculation, module to rank traffic safety parameters, module to control the traffic accidents, and module to find the traffic accidents prediction. Verification, validation, and evaluation process (V, V and E) was conducted. Results were statistically analyzed using Number Cruncher Statistical Systems (NCSS) version 26. Verification was done by asking three groups of experts involving 20 professional engineering computers and domain experts. The arithmetic mean for evaluators' responses was higher than 4.2 out of 5, indicating a strong agreement. The Cronbach's alpha was 0.960, and internal consistency reliability (ICR) showed excellent reliability. Results for verification demonstrated the satisfaction of the experts with the proposed system. In the validation process, the experts were requested to propose appropriate strategies and solutions to address the safety problems and reduce traffic accidents. The arithmetic mean for matching the experts' answers and the outputs of CPTCRSI-ES was higher than 4, and the Cronbach's alpha was 0.917 and ICR, indicating excellent reliability. Finally, evaluation of the system by its end-users showed that the overall assessment rating was more than 4, Cronbach's alpha was 0.932, and ICR showed excellent reliability. Results for V, V, and E demonstrated that the system had met its primary objectives. The proposed system adopted in this research can help traffic safety authorities control and predict traffic accidents. 2022-02 Thesis http://eprints.uthm.edu.my/8388/ http://eprints.uthm.edu.my/8388/1/24p%20ALI%20AHMED%20MOHAMMED.pdf text en public http://eprints.uthm.edu.my/8388/2/ALI%20AHMED%20MOHAMMED%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/8388/3/ALI%20AHMED%20MOHAMMED%20WATERMARK.pdf text en validuser phd doctoral Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Awam dan Alam Bina
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	T Technology (General) T173.2-174.5 Technological change
spellingShingle	T Technology (General) T173.2-174.5 Technological change Mohammed, Ali Ahmed Control and prediction of traffic crashes in the residential streets in Iraq using the expert system
description	Residential streets suffer from various traffic safety problems related to traffic accidents, especially in low and middle-income countries. This research's objective was to develop a novel system for controlling and predicting traffic accidents in the residential streets using the expert system (CPTCRSI-ES). Knowledge of the CPTCRSI-ES was collected from domain experts and published sources. The system comprised nine modules: the module to identify types of car accidents–causes-preventive actions effects, module to identify safety problems and related solutions, module to find the speed calculation, module to find the cut-through traffic calculation, module to find the Equivalent Property Damage Only (EPDO), module to find residential density calculation, module to rank traffic safety parameters, module to control the traffic accidents, and module to find the traffic accidents prediction. Verification, validation, and evaluation process (V, V and E) was conducted. Results were statistically analyzed using Number Cruncher Statistical Systems (NCSS) version 26. Verification was done by asking three groups of experts involving 20 professional engineering computers and domain experts. The arithmetic mean for evaluators' responses was higher than 4.2 out of 5, indicating a strong agreement. The Cronbach's alpha was 0.960, and internal consistency reliability (ICR) showed excellent reliability. Results for verification demonstrated the satisfaction of the experts with the proposed system. In the validation process, the experts were requested to propose appropriate strategies and solutions to address the safety problems and reduce traffic accidents. The arithmetic mean for matching the experts' answers and the outputs of CPTCRSI-ES was higher than 4, and the Cronbach's alpha was 0.917 and ICR, indicating excellent reliability. Finally, evaluation of the system by its end-users showed that the overall assessment rating was more than 4, Cronbach's alpha was 0.932, and ICR showed excellent reliability. Results for V, V, and E demonstrated that the system had met its primary objectives. The proposed system adopted in this research can help traffic safety authorities control and predict traffic accidents.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mohammed, Ali Ahmed
author_facet	Mohammed, Ali Ahmed
author_sort	Mohammed, Ali Ahmed
title	Control and prediction of traffic crashes in the residential streets in Iraq using the expert system
title_short	Control and prediction of traffic crashes in the residential streets in Iraq using the expert system
title_full	Control and prediction of traffic crashes in the residential streets in Iraq using the expert system
title_fullStr	Control and prediction of traffic crashes in the residential streets in Iraq using the expert system
title_full_unstemmed	Control and prediction of traffic crashes in the residential streets in Iraq using the expert system
title_sort	control and prediction of traffic crashes in the residential streets in iraq using the expert system
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Awam dan Alam Bina
publishDate	2022
url	http://eprints.uthm.edu.my/8388/1/24p%20ALI%20AHMED%20MOHAMMED.pdf http://eprints.uthm.edu.my/8388/2/ALI%20AHMED%20MOHAMMED%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8388/3/ALI%20AHMED%20MOHAMMED%20WATERMARK.pdf
_version_	1776103334069927936

Control and prediction of traffic crashes in the residential streets in Iraq using the expert system

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