Examining the Risk Factors of Rear-End Crashes at Signalized Intersections

Sharafeldin, Mostafa; Farid, Ahmed; Ksaibati, Khaled

doi:10.4236/jtts.2022.124037

Cited by 10 publications

(12 citation statements)

References 37 publications

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“…It is not intended to replace the existing state-of-practice methods that heavily rely on proven engineering principles and judgment. With that said, future work should be tailored to further boost the tool's flexibility by adding additional supportive information such as geometry characteristics, other modes of transportation, and especially volume-related data and intersection performance such as delay, travel time, and similar data (38)(39)(40)(41)(42)(43)(44)(45)(46). Lastly, the reader is reminded that volume data (and some performance measures) can reveal assets where oversaturation occurs.…”

Section: Discussionmentioning

confidence: 99%

Data-Driven Decision Support Platform for Selection of Intersections for Adaptive Traffic Signal Control

Mitrović¹,

Dobrota²,

Pereira³

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Adaptive traffic control systems (ATCSs) represent one of the most advanced traffic signal control strategies currently deployed in urban areas worldwide. One of the most important questions in the deployment of such a system is related to the determination of location (i.e., intersection/s, corridor) where ATCS should be deployed. Several past studies addressed this problem either for the specific “corridor-level” analysis or by using inadequate approaches that prevent agencies from observing how existing assets and their operational characteristics affect agency-wide deployment of ATCS. This study proposes a data-driven dashboard that uses the operational attributes of existing assets (usually readily available to many agencies nowadays) to rank assets/corridors in the network based on their “appropriateness” for the installation of ATCS systems. The core components of the proposed tool are a robust scoring engine that incorporates the signal parameters important for ATCS deployment, and a spatial module that aggregates the computed scores on a desired spatial level. These core components are encapsulated in a web-based map tool deployed on the cloud. The proposed tool has been deployed in a case study to support the installation of 1,100 ATCS signals in the road network of Miami-Dade County, Florida. The proposed tool was useful for producing an initial solution in the decision-making process on where to install ATCS. The developed tool is robust enough to be applied to other networks.

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Section: Discussionmentioning

confidence: 99%

Data-Driven Decision Support Platform for Selection of Intersections for Adaptive Traffic Signal Control

Mitrović¹,

Dobrota²,

Pereira³

et al. 2023

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…Even though the study considered pavement friction as a potential risk factor, the study analyzed a limited data set and did not include other roadway attributes. Other related studies to this research topic include those of Chen et al [31], Sharafeldin et al [32], Karlaftis and Golias [33], Roy et al [12], Chen et al [34], Papadimitriou et al [35], and Zhao et al [36].…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating The Impact of Roadway Characteristics on Intersection Crash Severity

Sharafeldin

Farid

Ksaibati

2022

Eng

Self Cite

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Intersections are commonly recognized as crash hot spots on roadway networks. Therefore, intersection safety is a major concern for transportation professionals. Identifying and quantifying the impact of crash contributing factors is crucial to planning and implementing the appropriate countermeasures. This study covered the analysis of nine years of intersection crash records in the State of Wyoming to identify the contributing factors to crash injury severity at intersections. The study involved the investigation of the influence of roadway (intersection) and environmental characteristics on crash injury severity. The results demonstrated that several parameters related to intersection attributes (pavement friction; urban location; roadway functional classification; guardrails; right shoulder width) and two environmental conditions (road surface condition and lighting) influence the injury severity of intersection crashes. This study identified the significant roadway characteristics influencing crash severity and explored the key role of pavement friction, which is a commonly omitted variable.

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“…Signalized intersections contribute significantly to the percentage of crash rates in the United States ( 19 – 21 ). RLVW is a CV-based safety application that aims to reduce the number of red-light running (RLR) events and improve safety at signalized intersections.…”

Section: Literature Reviewmentioning

confidence: 99%

Hardware-in-the-Loop Simulation for Assessing Red-Light Violation Warning Application With Semi-Actuated Signal Control in a Connected Vehicle Environment

Arafat¹,

Hadi

Hunsanon

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Understanding the safety and mobility impacts of connected vehicle (CV) applications is critical for ensuring effective implementations of these applications. This study provides an assessment of the safety and mobility impacts of the red-light violation warning (RLVW), a CV-based application at signalized intersections, under semi-actuated signal control utilizing a hardware-in-the-loop simulation environment. With actuated traffic signal operations, there is uncertainty in the end-of-green information provided to the vehicles using CV messages. The RLVW algorithm lacks the input information about when exactly the phase is going to be terminated since this termination occurs when a gap of a particular length is encountered at the detector. This study investigates a method recently proposed in a national effort to provide an assured green period (AGP) to grant definitive times for when the green interval will end. AGP mitigates the uncertainties related to termination of the green signal associated with actuated signal control and is expected to improve the performance of the CV RLVW application. Results showed that the safety benefits of RLVW without the use of AGP were limited. On the other hand, by introducing AGP with 100% RLVW, the number of red-light running events at signalized intersections was reduced by approximately 92%. However, the application of the AGP, as applied and assessed in this paper, can increase the number of stops and approach delay. This issue will need to be further investigated to determine the optimal setting of the AGP considering both mobility and safety impacts.

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Examining the Risk Factors of Rear-End Crashes at Signalized Intersections

Cited by 10 publications

References 37 publications

Data-Driven Decision Support Platform for Selection of Intersections for Adaptive Traffic Signal Control

Data-Driven Decision Support Platform for Selection of Intersections for Adaptive Traffic Signal Control

Investigating The Impact of Roadway Characteristics on Intersection Crash Severity

Hardware-in-the-Loop Simulation for Assessing Red-Light Violation Warning Application With Semi-Actuated Signal Control in a Connected Vehicle Environment

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