Massively Parallelizable Approach for Evaluating Signalized Arterial Performance Using Probe-based data Poddar, Subhadipto Chakraborty, Pranamesh Sharma, Anuj Sharma, Anuj Knickerbocker, Skylar Hawkins, Neal
dc.contributor.department Civil, Construction and Environmental Engineering
dc.contributor.department Institute for Transportation 2021-04-30T15:53:54.000 2021-08-14T02:54:58Z 2021-08-14T02:54:58Z Wed Jan 01 00:00:00 UTC 2020 2020-01-01
dc.description.abstract <p>The effective performance of arterial corridors is essential to community safety and vitality. Managing this performance, considering the dynamic nature of demand requires updating traffic signal timings through various strategies. Agency resources for these activities are commonly scarce and are primarily by public complaints. This paper provides a data-driven prioritization approach for traffic signal re-timing on a corridor. In order to remove any dependence on available detection, probe-based data are used for assessing the performance measures. Probe-based data are derived from in-vehicle global positioning system observations, eliminating the need for installing on-field traffic infrastructure. The paper provides a workflow to measure and compare different segments on arterial corridors in terms of probe-based signal performance measures that capture different aspects of signal operations. The proposed method can serve as a tool to guide agencies looking to alter their signal control. The methodology identifies a group of dynamic days followed by evaluation of travel rate based upon non-dynamic days. Dynamic days represent the variability of traffic on a segment. Performance measures on non-dynamic days include Median Travel Rate, Within-Day Variability of travel rate, between-days variability of travel rate Minimum Travel Rate Dispersion, and two variables which include Overall Travel Rate Variabilities. Consequently, a corridor having high number of dynamic segments along with poor performance during normal days would be a candidate for adaptive control. A case study was conducted on 11 corridors within Des Moines, Iowa where Merle Hay Road and University Avenue were identified suitable for adaptive control.</p>
dc.description.comments <p>This is a pre-print of the article Poddar, Subhadipto, Pranamesh Chakraborty, Anuj Sharma, Skylar Knickerbocker, and Neal Hawkins. "Massively Parallelizable Approach for Evaluating Signalized Arterial Performance Using Probe-based data." <em>arXiv preprint arXiv:2005.11147</em> (2020). Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 1290
dc.identifier.contextkey 22629784
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ccee_pubs/289
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 23:12:24 UTC 2022
dc.subject.disciplines Civil Engineering
dc.subject.disciplines Transportation Engineering
dc.subject.keywords Traffic Signal Retiming
dc.subject.keywords Arterial Corridor
dc.subject.keywords Signal Performance Measure
dc.subject.keywords Travel Time
dc.subject.keywords Probe Data
dc.subject.keywords Anomaly Detection
dc.title Massively Parallelizable Approach for Evaluating Signalized Arterial Performance Using Probe-based data
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 717eae32-77e8-420a-b66c-a44c60495a6b
relation.isOrgUnitOfPublication 933e9c94-323c-4da9-9e8e-861692825f91
relation.isOrgUnitOfPublication 0cffd73a-b46d-4816-85f3-0f6ab7d2beb8
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