INRIX Deutschland

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Die INRIX Deutschland Verkehrssignal-Scorecard bietet eine erste zusammenfassende Bewertung der Leistung von signalisierten Kreuzungen in ganz Deutschland.

Unter Verwendung von INRIX Signal Analytics[1] berechnet die Scorecard die Nachfrage und die Leistung für alle Bewegungen an jeder einzelnen Signalanlage, was eine Zusammenfassung der Ergebnisse nach Regionen und auf nationaler Ebene ermöglicht.

Die Nachfrage und Leistung der Signale werden anhand von GPS-Daten bewertet. Die Fahrtrichtung, die Reisezeit und die Geschwindigkeit eines Fahrzeugs werden jedes Mal erfasst, wenn es eine signalisierte Kreuzung passiert. Dies ermöglicht einen skalierbaren Ansatz, um die Nachfrage und Leistung von Kreuzungen im ganzen Land zu verstehen.

Die Ergebnisse stammen aus vier Wochen Daten zwischen dem 6. März und dem 2. April 2023. Dieser Zeitraum wurde ausgewählt, da es sich um den aktuellsten zusammenhängenden Zeitraum von vier Wochen handelt, in dem Feiertage, winterliches Wetter oder Sommer nicht das Verkehrsaufkommen und die Nutzungsstrukturen beeinflusst haben. Eine "Durchschnittswoche" wird aus diesen vier Wochen abgeleitet.

Dies ist die erste Ausgabe der Deutschland Traffic Signals Scorecard und basiert auf derselben Methodik, die zur Erstellung der INRIX U.S. Signals Scorecard[2] verwendet wurde.

Für Informationen zu INRIX IQ Signal Analytics können Sie die folgende Quelle konsultieren: Die letzte U.S. Signals Scorecard kann hie abgerufen werden:

~5 Billion Total Number of Observed Crossings Used to Generate Results
~10 Million Number of Connected Vehicles Providing Location and Movement Data
242,757 Signalized Intersections Analyzed
All 50 States (Plus District of Columbia)
400+ Regions
1,150+ Counties
23,308 Intersection Avg Daily Traffic
18.1 Seconds of Delay Per Vehicle
63.5% Arrival on Green
117.4 Total Hours of Daily Delay
2.53Days Days to Generate 1 Metric Tonne of Carbon Emissions From Delay
0.97Days Days to Consume 1 Barrel of Oil From Delay
Average Traffic Signal
Signal Network
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  • 242,757 signals mapped consistently across all 4 weeks of data collection across the year[1]
  • All signals are located within a county and state, and where appropriate, a metropolitan planning area boundary
  • INRIX Signal Analytics uses OpenStreetMap (OSM) data to identify signalized intersections; 'Add Signals' Section explains how additional signals can be added to future scorecards
Number of Regions by Signal Count Range
< 100

States back to top

Every State has signals analyzed, ranging from 274 in Vermont to 31,550 in California.

Metropolitan Areas back to top

  • 92% of the signals are located within the boundaries of 401 Metropolitan Planning Organizations (MPOs)
  • 47 MPOs have at least 1,000 signals
  • 137 MPOs have at least 250 signals
  • 271 MPOs have at least 100 signals

Counties back to top

  • 2,443 of the nation’s 3,033 total counties include at least one signal analyzed
  • Underscoring the dominance of rural counties, more than half of these counties (1,162) have 10 signals or less
  • 47 counties have at least 1,000 signals
  • 203 counties have at least 250 signals
  • 418 counties have at least 100 signals

While there are currently more than over 253,000 signals mapped in INRIX Signal Analytics, the 2022 Signals Scorecard includes signals that have data across all four data collection weeks

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  • Data collection weeks across all seasons in 2022 provides unprecedented insight into arterial roadway demand
  • 2022 is arguably the first full post-pandemic calendar year - showing the new-normal baseline demand[1]
Estimated Demand by Day, Average Signal, Rolling Hour,
Calendar Year 2022, Nationwide

A combination of nearly 5 billion samples across all intersections over the four data collection weeks of 2022 and INRIX’s Volume Profile dataset enable scaling of samples to estimated volumes for each intersection. Samples for all movements at an intersection are counted in 15-minute increments each day of each data collection week then averaged to create a typical week of samples for each intersection in 672 time slices – 15 minutes a day for 7 days. Each intersection is then scaled up to an estimated volume of total vehicles for the typical week.

2022 Intersection Average Daily Traffic (ADT) back to top

  • Estimated ADT for Average Signal: 23,308
  • Estimated ADT for Median Signal: 19,507
  • Peak Demand Hour by Day:
    • Monday - Thursday: 4:30 - 5:30 pm
    • Friday: 3:45 - 4:45 pm
    • Saturday - Sunday: 11am - 12noon
  • Peak Hour Factor decreases as Estimated ADT decreases

Quarter by Quarter Intersection ADT back to top

  • All but June's dataset followed similar trends, although the March dataset has a lower AM peak period demand than the September and November datasets
  • June had lowest AM peak and highest midday demand, likely due to summer travel patterns
  • AM Peak demand hour increased to ~85% of PM peak demand hour the second half of 2022 - TBD is this is the new normal or if it will continue to increase going forward
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  • Scorecard focuses on three primary signal performance metrics:
    • Delay/Vehicle
    • Arrival on Green
    • and Split Failures
  • Results are weighted aggregations of all movements at each intersection
Full Week and PM Weekday Peak (M-F, 3-6pm)
Performance Metrics by Single ADT Quintile, Calendar Year 2022, Nationwide

Nationwide Delay Per Vehicle back to top

Average Signal, Delay Per Vehicle
Median Signal, Delay Per Vehicle

Nationwide Arrival on Green back to top

Average Signal, Arrival on Green (%)
Median Signal, Arrival on Green (%)

Nationwide Split Failures back to top

Average Signal, Split Failure (%)
Median Signal, Split Failure (%)
Signals Map
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All analyzed signals are shown on the interactive map below, with the color representing the full week intersection level of service.

Each signal is clickable and the details include:

  • Intersection information including intersection name (from Openstreetmaps), the county, state, and MPO (when applicable) the intersection resides; a link is also available to view the intersection in Streetview
  • Metrics including daily average observed crossings, and weekly average delay, arrival on green and split failure percentages
  • Peak hour data including the day/time, peak hour delay and peak hour factor

View Fullscreen Map
Region Explorer
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  • Summary results are available for nearly 500 geographies (every state, all MPOs (193) and counties (250) with 200+ signals)[1]
  • Select region on left, from the list below to view in-depth summaries[2]

For MPOs that span multiple states, the MPO can be selected under each state, with full region results displayed; county results are for full county, not just signals inside an MPO boundary Differences between MPO boundary and county maps could lead to slight differences between signals analyzed

Total Signals Analyzed
Peak Demand Hour
AM Peak Hour Compared to
PM Peak Hour Demand
Metrics for Average Signal
Full Week
Full Week
Arrival on Green
Full Week
Split Failure
Region Demand/Full Week Performance by National ADT Quintile
Avg Est
icle (Secs)
Arrival on
Green (%)
Failure (%)
Signal Delay Impact of Average Signal
Total Daily Delay
Days to Generate 1 metric tonne of CO2 emissions
Days to generate 1 Barrel of Excess Oil
Impact of 1 sec Change in Delay for Avg Signal
Annual CO2 emissions,
in metric tonnes
Annual Excess Oil
Use, in Barrels
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Signal Demand and Performance Metrics Generation

The INRIX U.S. Signals Scorecard is created using four steps. The first three steps generate data that powers the INRIX Signal Analytics.[1] The fourth step extracts and tailor’s data to create findings specifically for the Scorecard. These are the same steps followed in previous editions, with the exception that this edition is based upon 4 weeks of data spread throughout 2022, versus a single week previously.

Ingest sufficient, high-quality GPS data back to top

  • INRIX has been ingesting anonymous GPS data from connected cars, commercial vehicles, and mobile devices since 2006.
  • INRIX now ingests over 15 BILLION GPS readings daily in the United States alone.
  • For Signal Analytics, INRIX analyzes over 85% of those readings from connected vehicles, with the best location accuracy and highest update rates. This ensures each individual vehicle’s movement in and around intersections can be analyzed with high confidence.
  • For the four weeks utilized in this 2022 Scorecard, we leveraged more than 13.4 billion daily GPS readings.

Convert GPS readings into Trip Paths back to top

  • INRIX Trip Analytics translates GPS readings into discrete trips, with origin, destination, route path, date and time stamps, etc. Data is cleaned, filtered, linked, ordered, and snapped to the road network to enable detailed analysis of trip path from start to end of each trip.
  • INRIX Trip Analytics generates more than 130 million daily trips traversing over 1.25 billion miles in the U.S. each day, more than 10 billion miles overall in each week.
  • INRIX curated over 1.16 BILLION highest quality trips covering more than 10 BILLION miles traveled across the U.S. over the four data collection weeks, to be used in Steps 3 and 4.

Generate Signal Performance Metrics. back to top

  • INRIX Signal Analytics evaluates each individual trip as it moves through a known signalized intersection, creating a log of each vehicle/intersection interaction to enable aggregation of several metrics typically utilized to assess signal performance.
  • Key information logged includes day/time stamp, turning movement, stops, and total travel time through the intersection.[2]
  • Signal Analytics presently covers over 253,000 signalized intersections in the U.S., with data at the movement, approach, and intersection level.
  • Key for overall analysis and this Scorecard is that this approach enables analysis of all movements and approaches at an intersection and, over enough time, the random samples generated by the INRIX Signal Analytics Fleet will mirror overall demand and performance at the intersection.
  • INRIX Signal Analytics aggregates metrics at the movement, approach, and intersection level for each intersection. For this Scorecard, data has been aggregated at the intersection level. The figure below illustrates how movement level metrics results in weighted average intersection level metrics.

Scorecard back to top

  • Data was extracted in 15-minute increments for each intersection for the full weeks of March 21-27, June 13-19, September 19-25, and November 1-7, 2022 (a week in each calendar quarter). An average week was then created from these four weeks.
  • Thus, for each metric, there were 672 different results (4/hour x 24 hours x 7 days) for each of 242,757 intersections across the U.S (signals for which data is available across all four weeks).
  • Metrics extracted and used for this Scorecard are the number of observed vehicle crossings, average control delay per vehicle, arrival on green percentages, and split failure counts and percentages.
  • INRIX Volume Profiles[3] was used to estimate the penetration rate of the observed results at each intersection, to scale up results to represent total estimated intersection average daily traffic.
  • Intersection scale factors enable total delay calculations and weighted averages for arrival on green percentage and delay/vehicle calculations for intersections rolled up by state, county and MPO.[4]
  • Data was extracted one state at a time and local time is used in all cases. When a state has more than a single time zone, the prevalent time zone is used for all data across the state (e.g., Florida is computed in Eastern Daylight Time). An explanation of the processes used to create these metrics is here: MPO boundaries were derived from this file:

Signal Delay Emissions and Fuel Use Impact Estimation Methodology back to top

The FHWA Congestion Mitigation and Air Quality Improvement (CMAQ) Program released an Emissions Calculator Toolkit[5] for use by agencies to estimate air quality benefits. As part of that toolkit, an intersection improvements module was created that uses the emissions rates from national level runs of the EPA Motor Vehicle Emission Simulator (MOVES).[6] Leveraging the intersections module within the CMAQ toolkit, a green calculator was created to estimate the amount of fuel and CO2 equivalents produced at signalized intersections due to idling.

The calculator uses the following:

  • Assumed Fleet Year - Fleet year used in the EPA Moves Model
  • Vehicle Volume - The amount of vehicles that cross an intersection or series of intersections
  • Percentage of Heavy-Duty Trucks - The percentage of heavy-duty vehicles
  • Initial Average Control Delay - The initial average delay vehicles experience as a result of the signalized intersection(s).
  • Final Average Control Delay - The final average delay vehicles experience as a result of the signalized intersection(s).
  • Urban or Rural Environment - The location of the signalized intersections of interest

The calculator uses these inputs to determine the following:

  • Total Hours Saved - The total vehicle hours impacted by the change in average control delay. Mathematically this is the difference between the initial average control delay and the final average control delay, multiplied by the vehicle volume. This number can be scaled as a daily, weekly, monthly, or annual number.
  • Carbon Dioxide Equivalents - The total number of hours saved is used along with the EPA MOVES emissions rates to determine the CO2 equivalents.
  • Total Fuel Savings - The total number of hours saved is used along with the EPA MOVES emissions rates to determine the energy consumption.

The process to estimate standard conversions between delay, emissions, and fuel consumes in the U.S. Signals Scorecard is based on the following assumptions.

  • 3.24% Heavy Vehicles - Using the USDOT Bureau of Transportation Statistics approximately 3.24% of VMT outside of interstates could be considered 'heavy duty vehicles'
  • 2023 Fleet - The 2023 fleet was used in the EPA MOVES model
  • 1 gallon of fuel is equivalent to 120,286 BTU (US Energy Information Administration)

Using these assumptions, with the calculator methodology defined above, it was determined 1 hour of vehicle delay at signalized intersections in the U.S. would amount to 7.43 pounds of CO2 and approximately 0.37 gallons of fuel.

Toolkit - CMAQ - Air Quality - Environment - FHWA (
Intersection Improvements Module - Toolkit - CMAQ - Air Quality - Environment - FHWA (
Documentation of Emissions Data for the Traffic Flow Improvements Tool - Toolkit - CMAQ - Air Quality - Environment - FHWA (
MOVES and Other Mobile Source Emissions Models | US EPA

Add Signals
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  • INRIX Signal Analytics uses OpenStreetMap (OSM) data to identify signalized intersections
  • Not all signals in the US are tagged in OSM. Estimates are as many as 100,000 are yet to be tagged
  • OSM is crowd sourced, thus anyone can add signals to OSM, including you
  • Any signals adding will be included in future signal scorecard updates
  • The video below provides instructions to add signals, which will in turn allow us to provide a more complete picture of demand and performance in your region
Want More Details About Your Traffic Signal Network? back to top

Do you manage signals and would like more details about them specifically? Let us know what agency you work for and we'll send more details about the signals you mange.