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Analysis of the Effectiveness of Queue Warning Systems in Freeway Work Zones.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analysis of the Effectiveness of Queue Warning Systems in Freeway Work Zones./
作者:	Luo, Han.
面頁冊數:	1 online resource (139 pages)
附註:	Source: Masters Abstracts International, Volume: 84-12.
Contained By:	Masters Abstracts International84-12.
標題:	Fatalities. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30462817click for full text (PQDT)
ISBN:	9798379653033

Analysis of the Effectiveness of Queue Warning Systems in Freeway Work Zones.
Luo, Han.

Analysis of the Effectiveness of Queue Warning Systems in Freeway Work Zones. - 1 online resource (139 pages)

Source: Masters Abstracts International, Volume: 84-12.

Thesis (M.Sc.)--Auburn University, 2023.

Includes bibliographical references

Work zone safety and mobility have always been a major concern for state DOTs and transportation professionals. While roadway usage has increased substantially in recent years as the U.S. population and number of licensed drivers have grown, the capacity of the highway system has grown very slowly. Increased roadway usage has led to deteriorating quality of road infrastructure, posing a potential risk to the traveling public.Work zones are necessary components to maintain and improve the quality of the highway infrastructure. However, the presence of work zones disrupts mobility and presents motorists with unforeseen challenges and conditions, increasing the risk of vehicular crashes and traffic delays within and near work zones.Rear-end crashes were identified as the predominant crash types in freeway work zones. To minimize the impacts of work zones on safety and mobility, Intelligent Transportation Systems (ITS) technologies are being utilized to fill in the gaps of current practices.Queue Warning Systems (QWS), as an example of ITS technology in work zones, which employs queue detection systems and communication technologies, provide an opportunity to address traffic safety and mobility associated issues in work zones through queue detection and warning systems.A proper queue warning system is designed to detect traffic conditions in the work zone, such as the presence of queues or accidents, and notify motorists of slow traffic or queues ahead so that they can react in time to the upcoming traffic conditions. Currently, the application of this technology is still in its early stages in Alabama.The purpose of this study is to analyze the effectiveness of the QWS in a freeway work zone through the evaluation of the impact on traffic safety of QWS and the development of traffic simulation models to estimate the traffic effects of QWS. From the results of the safety performance evaluation, a site-specific crash modification factor specific (CMF) for QWS deployment was developed to be 1.49, and combined with the crash reduction analysis, it was found that specific in this study, the percentage of increased rear-end and sideswipe associated crashes at the control site (without QWS) is lower than that at the treatment site (with QWS). However, these findings were from a very limited study that only included one treatment and one control site making the transferability to other deployments limited until further study with more sites can be performed.In addition, traffic simulation models were developed and successfully validated to replicate field-observed traffic operations within the work zone area.The methodology presented in this study for the development of the site-specific crash modification factor related to the QWS deployment in freeway work zones when true control conditions could not be evaluated, and for the VISSIM model development, calibration and validation can be applicable to other state highway agencies and practitioners.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379653033Subjects--Topical Terms:

3681792
Fatalities.
Index Terms--Genre/Form:

542853
Electronic books.

Analysis of the Effectiveness of Queue Warning Systems in Freeway Work Zones.
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500 $a Source: Masters Abstracts International, Volume: 84-12.
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502 $a Thesis (M.Sc.)--Auburn University, 2023.
504 $a Includes bibliographical references
520 $a Work zone safety and mobility have always been a major concern for state DOTs and transportation professionals. While roadway usage has increased substantially in recent years as the U.S. population and number of licensed drivers have grown, the capacity of the highway system has grown very slowly. Increased roadway usage has led to deteriorating quality of road infrastructure, posing a potential risk to the traveling public.Work zones are necessary components to maintain and improve the quality of the highway infrastructure. However, the presence of work zones disrupts mobility and presents motorists with unforeseen challenges and conditions, increasing the risk of vehicular crashes and traffic delays within and near work zones.Rear-end crashes were identified as the predominant crash types in freeway work zones. To minimize the impacts of work zones on safety and mobility, Intelligent Transportation Systems (ITS) technologies are being utilized to fill in the gaps of current practices.Queue Warning Systems (QWS), as an example of ITS technology in work zones, which employs queue detection systems and communication technologies, provide an opportunity to address traffic safety and mobility associated issues in work zones through queue detection and warning systems.A proper queue warning system is designed to detect traffic conditions in the work zone, such as the presence of queues or accidents, and notify motorists of slow traffic or queues ahead so that they can react in time to the upcoming traffic conditions. Currently, the application of this technology is still in its early stages in Alabama.The purpose of this study is to analyze the effectiveness of the QWS in a freeway work zone through the evaluation of the impact on traffic safety of QWS and the development of traffic simulation models to estimate the traffic effects of QWS. From the results of the safety performance evaluation, a site-specific crash modification factor specific (CMF) for QWS deployment was developed to be 1.49, and combined with the crash reduction analysis, it was found that specific in this study, the percentage of increased rear-end and sideswipe associated crashes at the control site (without QWS) is lower than that at the treatment site (with QWS). However, these findings were from a very limited study that only included one treatment and one control site making the transferability to other deployments limited until further study with more sites can be performed.In addition, traffic simulation models were developed and successfully validated to replicate field-observed traffic operations within the work zone area.The methodology presented in this study for the development of the site-specific crash modification factor related to the QWS deployment in freeway work zones when true control conditions could not be evaluated, and for the VISSIM model development, calibration and validation can be applicable to other state highway agencies and practitioners.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Fatalities. $3 3681792
650 4 $a Sensors. $3 3549539
650 4 $a Roads & highways. $3 3555163
650 4 $a Safety research. $3 3701754
650 4 $a Traffic control. $3 3686354
650 4 $a Transportation planning. $3 3423850
650 4 $a Queuing. $3 3699127
650 4 $a Traffic flow. $3 756182
650 4 $a Rural areas. $3 3560074
650 4 $a Automobile drivers. $3 520532
650 4 $a Energy consumption. $3 631630
650 4 $a Vehicles. $3 2145288
650 4 $a Civil engineering. $3 860360
650 4 $a Energy. $3 876794
650 4 $a Transportation. $3 555912
655 7 $a Electronic books. $2 lcsh $3 542853
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710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Auburn University. $3 1020457
773 0 $t Masters Abstracts International $g 84-12.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30462817 $z click for full text (PQDT)