The Pooled Fund Project TPF-5(377) is led by Indiana and includes participation from FHWA, California, Connecticut, Georgia, Minnesota, NorthCarolina, Ohio, Pennsylvania, Texas, Utah, andWisconsin.The projectdevelopedmethodologiesandtoolsforusinghighresolutionvehicletrajectorydata tocompute enhanced traffic signal performance measures.Significant outcomes from the study are listed at the end of this document in the reference section.

The Indiana led pooled fund traffic signal research projects have a strong history of implementation. The first study, TPF-5(259), was recognized by EDC 4 and virtually all controllers now provide high resolution data logging. There is a strong commercial base of advanced traffic signal performance measureproviders.Thetechnicalreportsfrom TPF-5(259)listedbelowarewidelydistributedandcited.

·       PerformanceMeasuresforTrafficSignalSystems:AnOutcome-OrientedApproach. http://dx.doi.org/10.5703/1288284315333

·       IntegratingTrafficSignalPerformanceMeasuresintoAgencyBusinessProcesses. http://dx.doi.org/10.5703/1288284316063

Similarly,TPF-5(377)isnowstimulatingasecondgenerationofcommercialimplementationoftrajectory based traffic signal performance measures.The current TPF-5(377) project end date is June 20, 2023.

DuringtheApril2022TPF-5(377) Pooled Fund StudyPanelMeetinginColumbus,OH,participatingstatesexpressedinterestin developing a new study led by a neutral state/academic partner in the following areas:

1.       Broadeningperformancemeasurestoadditionalmodesthatareimpactedbytrafficsignal systems, particularly transit and pedestrians.

2.       Identifyingusecasesforenhancedprobedatabeyond thecurrenttrajectoryandhard braking/hard acceleration data.

3.       IntegratedAnalysisofHigh-resControllerDataandTrajectoryProbeData

Theseinitiativeswouldcomplementandexpandthepastworkthemulti-stateteamhas doneinthe area of enhanced traffic signal performance measures using connected vehicle data.

trucksdata inIndiana,indicatedthatconnected truck datashouldalsobeconsideredtoincrease penetration.Although truck data is relatively modest during peak hours, including truck data provides a more representative analysis of how a traffic signal performs.

3.       Updateperformancemeasureanalysistechniquestoexaminehowmixofcommercial vehicles and passenger cars impact a traffic signal operation.For many decades, the highway capacity manualhasusedtheheavevehicle(fhv)adjustmentfactor.However,thevalidationonthishas been quite limited.We now have an opportunity to evaluate the impact of heavy vehicles on traffic signals at scale.

4.       Identify transit agencies in participating states that have AVL/connected bus data available to sharewithresearchteam.Thistaskisimportantas theinfrastructurebillhasseveralprograms that touch both transit and traffic signal systems so it is important to enhance performance measure analysis to be inclusive of transit vehicles.We anticipate this providing an important framework for factual and constructive dialog between traffic signal operators and transit operators.For example, we now have the ability to directly compare transit operating performance measures with passenger cars and trucks operating in the same stream.Figure 4 illustrates a heatmap showing bus performance measures that can be overlayed with traffic signal performance measures to identify if there are opportunities to improve traffic signal operation.

5.       Integratetrajectorydataandhighresolutiondata tocharacterizehowperformancemeasures suchassplitfailureandarrival ongreenvarydepending ifthey arecalculatedusing trajectory data or traditional high resolution data. This will be important to document so agencies that have well established ATSPM programs using traditional hi-res data can easily transition to trajectory based ATSPM.

6.       Integrate trajectory data and high resolution controller data for multi-modal analysis.Pedestrian push button information have long been available in hi-resolution logs, but they do not provide demand level data.Many of the new camera systems (such as Miovision) can providereasonablemeasurementofpedestrianmovementsincrosswalks.Thistaskwilllookat opportunities to integrate traffic signal data, such as pedestrian movements, with trajectory based traffic signal performance measures so that there is an opportunity for constructive and factual dialog on how to most effectively operate traffic signals in areas where pedestrian demand varies by time and location.

7.       Preparefinal report.

Funding requested:  $120,000($40,000peryearforthreeyears)fromeachparticipatingstate.

Proposed starting date: January1,2023

Please see the enclosed proposal.