Probe Data Analytics has a series of extremely robust filtering capabilities that let you choose the exact location for which you want to perform your analysis. Users can select any level of geography for analysis – from a single segment in a single direction of travel to every single county of multiple states. Users can also select Regions (state and counties), by zip codes and for specific road classes. Complex road selections can be saved for quick and easy retrieval.
Similarly, you can select a single day, multiple days, months, years, etc. for which you want to analyze. You can even select only certain days of the week throughout a date range, or even only certain hours of certain days (Example: morning rush hours on weekdays only).
Region explorer shows the relationships between bottlenecks and traffic events and their impacts on traffic conditions both in real-time or at previous points in the past. It is primarily map-based, providing a geospatial context for the data being presented. A ranked list of real-time or point-in-time bottlenecks is shown beside the map, and each element (bottleneck, travel time reading, and/or accident) can be clicked on to bring up additional details, stats, etc. Additionally, historic weather radar data can be viewed.
Massive Raw Data Downloader
All of the raw probe speed data (from any 3rd party provider) can be downloaded using the Massive Raw Data Downloader. This gives the user the ability to do offline, detailed analyses or integrate this raw data into their own applications
Congestion Scan lets you analyze traffic conditions on a contiguous stretch of road. If you choose to analyze a single day, traffic events and incidents will also be plotted on the road to help determine causality of the congestion. The congestion scan will also allow you to average multiple days’, months’, or years’ worth of traffic onto a single congestion scan. You can also visualize different time periods side-by-side, invaluable for analyzing impacts of work zones, major events or incidents. You can also do multi-road scans, to congestion impacts along a travel corridor, such as a major commuter or recreational route. The data behind each congestion scan (and all of the other tools in the suite) can be easily exported to Excel—pre-formatted for easy analysis and recreation of specific visualization.
Figure 3: Congestion and other measures can be visualized in both directions of travel along a corridor. Accident and event data can be overlaid on the congestion scan to help determine causality.
Figure 4: The Congestion Scan tool allows for detailed zooming, cropping, and custom display configurations for each of its graphs.
Figure 5: Display multiple date ranges on each scan. This is useful for before and after studies of the impacts of construction projects.
Figure 6: Easily export all Congestion Scan data to a preformatted Excel file.
Trends map produces animations of roadway performance over time, dynamically displaying changes in speeds, congestion and a number of other measures. With Trend Map, you can choose to analyze a single time period, or multiple time periods, displaying them side-by-side to compare and contrast for any scenarios you choose (weekend vs weekday; seasonal variation; before, during and after events; etc.) There are a number of options at your disposal, such as setting color thresholds, map layouts and displaying traffic events. You can save the results as an Excel file, screenshots and animated GIFs or MP4 movies – great for making highly-informative presentations. And you can even create embed code with the click of a button to add animations into your organization’s website.
Figure 7: Up to seven maps can be drawn and animated simultaneously with the Trend map tool.
Figure 8: Trend maps can be shares as Links, Movies, Animated GIFs, and Interactive Embed on agency webpages.
Performance Charts are bar, line, scatter plot, and candlestick charts representing aggregate conditions across stretches of road. The charts can be grouped by time period or by road directionality. The currently available performance metrics include:
- Travel Times
- Travel time index
- Planning Time
- Planning Time index
- Buffer Time
- Buffer Time Index
- Comparative Speed
- Historic Averages for the above
Figure 9: Screenshot of metric selections and display modes in the performance charts.
For each of the above metrics, the user can overlay multiple locations and/or time-ranges for easy comparison. 5th/95th and 25th/75th percentile measurements can also be displayed or hidden with the click of a button.
Figure 10: In this screenshot, average speeds along a stretch of I-270 in Maryland are displayed (dark line), while the 25/75th percentiles are shown in dark gray, and the 5th/95th percentile speeds are shown in light gray.
Performance Summaries produce several different tables of metrics grouped by day of week, weekdays, and weekends. The results can be compiled for every hour of the day or for specific time ranges, such as AM and PM peak hours. The reports are grouped by road direction.
Figure 11: Performance summary results for both the morning and afternoon rush hours on I-270.
Bottleneck Ranking allows you to identify, rank and explore bottleneck locations on a roadway. The results are presented in a table, a map, and a series of other visualizations with statistics on each bottleneck location, such as overall rank, impact, average max length and daily duration and total duration, as well as all events/incidents that occurred within the space of the bottleneck at any time during the time period being analyzed.
Selecting a bottleneck location from the table will recenter the map on the relevant location, and the adjacent spiral timeline or line chart will be updated to depict when the location was bottlenecked. Checkboxes on the bottom of the map panel allow you to disable the “highlighting” of the selected bottleneck and turn on or off the ranking numbers next to each map icon. The bottleneck times can be viewed in a table which can also be exported to Excel.
The timeline and line charts in the lower right can be used to determine the temporal patters of congestion. For example, some locations may only become congested during the morning rush hours or the evening rush hours. Event (accident and construction) data on top of these graphics helps to determine congestion.
Clicking on any element in the resulting table, time spiral graph, or line charts will open up congestion scans for each congestion event and/or draw an incident timeline graphic depicting the event.
User Delay Cost Analytics
User Delay Cost (UDC) Analysis combines probe speed data with volume data provided by the Texas Transportation Institute and/or individual agency volume data to estimate the cost of delay experienced by drivers as a result of congestion. Default values of commercial and passenger vehicle costs are provided, or you can adjust based on your own information. You can also adjust the percentages of passenger and commercial vehicles.
Users can define when delay should be calculated based on the following options:
- Historic Average Speeds: Calculate delay anytime a segment falls below historic average conditions. You can even define how far below historic average you must be before you begin computing delay:
- Free-flow speeds: You can begin calculating delay anytime the speeds drop below free-flow or some deviation from free-flow (example: 20 mph below free-flow).
- Absolute Speeds: you can begin calculating delay anytime the speeds drop below a user-defined threshold (example: anytime you drop below 40 mph).
The UDC supplements agency cost analyses related to roadway improvements, impacts of work zones and other conditions.
Figure 12: A zoomed in screenshot of user delay costs estimates for stretch of the Capital Beltway in Washington D.C. The exceedingly high UDC costs on January 6th in the morning rush hours were the result of a major snow event.
Dashboard allows users to custom build their own personal dashboard of “widgets.” Users can determine which geographies (single corridor from any starting and ending point, multiple corridors, counties, states, etc.) and date ranges (current compared to average, current compared to last year, month-to-date, week-to-date, etc.) are included in their individual widgets. Existing widgets display speed and travel time and bottleneck ranking and have several options for displaying information.
Figure 13: Customized layouts of multiple widgets–defined by each user and tailored to operations and/or planning needs.
Figure 14: Zoomed in view of the Corridor Performance Widget shows current speeds and travel times compared to historic conditions.
Figure 15: Zoomed in view of the interactive real-time bottleneck ranking widget which is configurable by certain regions, corridors, metropolitan area, etc.
Future versions of the dashboard will be sharable and/or embeddable within your own agency’s website for quick and easy sharing with the public or other decision makers. When the final MAP-21 rules are released, a version of this dashboard will be made available that is tailored to the MAP-21 reporting requirements.