Arterial Signal Offset Optimization Using Crowdsourced Speed Data

Xia, Liang; Li, Xiaofeng; Shaon, Mohammad Razaur Rahman; Wu, Yao; Jiang, Xinguo

doi:10.1177/03611981221109177

Cited by 3 publications

(1 citation statement)

References 31 publications

(39 reference statements)

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“…In recent years, there were numerous attempts to utilize emerging data sources, commercial probe vehicle data ( 25 ), high-resolution detection and signal timing data ( 26 ), or a combination of these (i.e., crowdsource data) ( 27 ), to develop software platforms that will support signal operations, primarily for performance monitoring. Initiated by Utah Department of Transportation (UDOT), an open-source platform called Automated Traffic Signal Performance Measures (ATSPM) ( 28 ) was further developed by various vendors such as Iteris ( 29 ), Miovison ( 30 ), and others.…”

Section: Literature Reviewmentioning

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: Literature Reviewmentioning

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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Transit Arrival Time Prediction Using Interaction Networks

Cottam

2023

IEEE Trans. Intell. Transport. Syst.

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Traffic Signal Systems Solutions Toolbox: A Case Study from Pennsylvania

Dobrota,

Cesme,

Gault

et al. 2024

Transportation Research Record: Journal of the Transportation R

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The selection of the appropriate traffic signal systems solution (e.g., fully actuated [free] control, pretimed control, adaptive traffic signal control, traffic responsive plan) is critical to ensuring efficient traffic operations. The success of any selected solution is largely dependent on corridor characteristics and the nature of the experienced problems on the corridor. In addition, agency capability and constraints (e.g., staffing) along with infrastructure needs (e.g., detection) are other factors that are sometimes overlooked but can be critical during the selection process. So far, researchers have proposed tools, guidelines, and recommendations typically to select a single solution (e.g., adaptive) primarily by observing only corridor operational characteristics. Such practice leaves traffic engineers without an appropriate process/tool that can evaluate whether some other traffic solutions are more appropriate for given conditions. Therefore, the objective of this study is to develop a comprehensive traffic signal systems solutions toolbox that can incorporate corridor characteristics, operational objectives, agency capabilities, and agency constraints and offer a broad range of signal control strategies as solutions. The developed toolbox relies on data that are readily available to most agencies, such as annual average daily traffic and vehicle probe data, and incorporates a range of factors related to corridor characteristics and agency capabilities and constraints. The toolbox was applied to three corridors in Pennsylvania, U.S. Results from the case studies demonstrated that the toolbox could provide the appropriate recommendations based on unique circumstances. Additionally, the recommended solutions were generally in line with the expectations of agency representatives.

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Arterial Signal Offset Optimization Using Crowdsourced Speed Data

Cited by 3 publications

References 31 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

Transit Arrival Time Prediction Using Interaction Networks

Traffic Signal Systems Solutions Toolbox: A Case Study from Pennsylvania

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