A statistical evaluation of traffic flow data obtained from the Sydney Coordinated Adaptive Traffic System (SCATS) prior to decision support system (DSS) implementation

In a parallel study entitled "An Integrated Decision Support System for the Sydney Coordinated Adaptive Traffic System (SCATS) of the Metro Manila Development Authority - Traffic Engineering Center (MMDA-TEC)" by Bandera, Bibit, Young and Li (2006), a decision support system (DSS) was deve...

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Main Authors: Bandera, Madeleine Louise B., Bibit, Joy Roxanne Q., Young, Milestill C., Cruz, Dennis E., Gobaco, Bryan O., Li, Richard C.
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Published: Animo Repository 2007
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/6839
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-76362022-09-27T02:51:58Z A statistical evaluation of traffic flow data obtained from the Sydney Coordinated Adaptive Traffic System (SCATS) prior to decision support system (DSS) implementation Bandera, Madeleine Louise B. Bibit, Joy Roxanne Q. Young, Milestill C. Cruz, Dennis E. Gobaco, Bryan O. Li, Richard C. In a parallel study entitled "An Integrated Decision Support System for the Sydney Coordinated Adaptive Traffic System (SCATS) of the Metro Manila Development Authority - Traffic Engineering Center (MMDA-TEC)" by Bandera, Bibit, Young and Li (2006), a decision support system (DSS) was developed in order to provide consistency and structure to the strategic decision-making process of traffic engineers who are the ones responsible for providing strategic traffic control measures for SCATS to implement. The DSS utilizes correlation analysis in the generation of Strategic Approach (SA) and Strategic Input (SI). However, before the developed DSS rules could even be used on traffic data collected from SCATS, it is a requirement that these data be tested first for normality. This is done because parametric tests such as linear correlation and hypothesis testing for the equality of means and variances are used in processing data for the DSS. These tests require that collected data should follow the normal distribution. Hence, this study presents the statistical tests performed on the vehicle flow data obtained from SCATS. One week (five days) of vehicle flow traffic data were collected from the daily data recorded by the detectors of SCATS for the purpose of data evaluation. Data evaluation results show that data collected follow the normal distribution. Furthermore, majority of pair-wise combinations of data obtained from different days were shown to have statistical equality of means and variances. This means that performance comparison between the generated SCATS strategic controls with and without the application of DSS rules may be undertaken even if data collected come from different days. 2007-03-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/6839 Faculty Research Work Animo Repository Decision support systems Traffic engineering—Data processing Operations Research, Systems Engineering and Industrial Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Decision support systems
Traffic engineering—Data processing
Operations Research, Systems Engineering and Industrial Engineering
spellingShingle Decision support systems
Traffic engineering—Data processing
Operations Research, Systems Engineering and Industrial Engineering
Bandera, Madeleine Louise B.
Bibit, Joy Roxanne Q.
Young, Milestill C.
Cruz, Dennis E.
Gobaco, Bryan O.
Li, Richard C.
A statistical evaluation of traffic flow data obtained from the Sydney Coordinated Adaptive Traffic System (SCATS) prior to decision support system (DSS) implementation
description In a parallel study entitled "An Integrated Decision Support System for the Sydney Coordinated Adaptive Traffic System (SCATS) of the Metro Manila Development Authority - Traffic Engineering Center (MMDA-TEC)" by Bandera, Bibit, Young and Li (2006), a decision support system (DSS) was developed in order to provide consistency and structure to the strategic decision-making process of traffic engineers who are the ones responsible for providing strategic traffic control measures for SCATS to implement. The DSS utilizes correlation analysis in the generation of Strategic Approach (SA) and Strategic Input (SI). However, before the developed DSS rules could even be used on traffic data collected from SCATS, it is a requirement that these data be tested first for normality. This is done because parametric tests such as linear correlation and hypothesis testing for the equality of means and variances are used in processing data for the DSS. These tests require that collected data should follow the normal distribution. Hence, this study presents the statistical tests performed on the vehicle flow data obtained from SCATS. One week (five days) of vehicle flow traffic data were collected from the daily data recorded by the detectors of SCATS for the purpose of data evaluation. Data evaluation results show that data collected follow the normal distribution. Furthermore, majority of pair-wise combinations of data obtained from different days were shown to have statistical equality of means and variances. This means that performance comparison between the generated SCATS strategic controls with and without the application of DSS rules may be undertaken even if data collected come from different days.
format text
author Bandera, Madeleine Louise B.
Bibit, Joy Roxanne Q.
Young, Milestill C.
Cruz, Dennis E.
Gobaco, Bryan O.
Li, Richard C.
author_facet Bandera, Madeleine Louise B.
Bibit, Joy Roxanne Q.
Young, Milestill C.
Cruz, Dennis E.
Gobaco, Bryan O.
Li, Richard C.
author_sort Bandera, Madeleine Louise B.
title A statistical evaluation of traffic flow data obtained from the Sydney Coordinated Adaptive Traffic System (SCATS) prior to decision support system (DSS) implementation
title_short A statistical evaluation of traffic flow data obtained from the Sydney Coordinated Adaptive Traffic System (SCATS) prior to decision support system (DSS) implementation
title_full A statistical evaluation of traffic flow data obtained from the Sydney Coordinated Adaptive Traffic System (SCATS) prior to decision support system (DSS) implementation
title_fullStr A statistical evaluation of traffic flow data obtained from the Sydney Coordinated Adaptive Traffic System (SCATS) prior to decision support system (DSS) implementation
title_full_unstemmed A statistical evaluation of traffic flow data obtained from the Sydney Coordinated Adaptive Traffic System (SCATS) prior to decision support system (DSS) implementation
title_sort statistical evaluation of traffic flow data obtained from the sydney coordinated adaptive traffic system (scats) prior to decision support system (dss) implementation
publisher Animo Repository
publishDate 2007
url https://animorepository.dlsu.edu.ph/faculty_research/6839
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