The SoE is breaking down data silos and providing a holistic view of the transportation network. Having the opportunity to look at all data, not just some, is inspiring new, creative, and cooperative problem-solving. By using the common language of geography, we're really getting down to the ‘what, how, and where'. And, because we're continually enhancing content and bringing in additional data, we're enjoying unprecedented accuracy.
Colorado Department of Transportation - Esri System of Engagement
Like other US state departments of transportation (DOTs), the Colorado Department of Transportation (CDOT) is charged with maintaining road infrastructure and—most importantly—with improving safety and the journey experience of travelers. CDOT's vision is to enhance the quality of life and the environment by creating an integrated transportation network. However, like other state DOTs, it also has to contend with budgetary constraints and the expectation that more be achieved with less.
In 2017, CDOT officials took steps to address this apparent conflict. Realizing that knowledge truly is power, as well as a potentially significant money-saver, they took a considered look at how the assets within their purview could be made to work far smarter, rather than just harder.
They recognized that 21st century DOTs operate in an ever-changing environment and a growing data landscape. If properly utilized, they reasoned, data could successfully address the "more with less" conundrum.
A new position, chief data officer (CDO), was established. In standing up a CDO, CDOT sought to give a strong, sustainable foundation to its future data needs. As almost everything about transportation is related to location, geographic information system (GIS) specialist Esri was chosen as the close working partner to create a new system of engagement (SoE). This is now achieving some compelling results.
Location Intelligence Led
The Esri ArcGIS solution underpinning CDOT's data effort enables several things. In particular, ArcGIS facilitates seamlessly bringing in information from many sources and providers into a single place. The resultant, tightly integrated and extremely rich information source can then be accessed and viewed simply and quickly via common browsers and applications, offering unprecedented levels of detail.
Individuals with the appropriate permissions can draw upon, use, add to, or otherwise influence information from across their organization, not just data generated or owned by their own departments. The consequent removal of institutional barriers results in performance improvements across the board.
What that means for CDOT, says chief engineer Joshua Laipply, who has been one of the driving forces behind the SoE's development, is that business decisions regarding when and where to invest in infrastructure maintenance and improvement can now be led by the head and not the gut.
"Historically, many of our field personnel's investment recommendations were based on anecdotal evidence—their 'feel' for what was going on. Now, decisions are much more intelligence led. As an example, because we can overlay detailed information on specific weather events and actions that were taken, we know precisely where snowplows have salted the roads. We can gain a far better idea of the likely locations of pavement deterioration caused by chemical processes and where we might need to intervene. We're shifting to a more proactive stance in infrastructure management and advancing operational excellence."
CDOT's data enrichment effort began with an assay process. It took a detailed look at what was already in existence, reviewing data quality. The dashboards, viewers, and mobile apps developed through the SoE enhance data quality by identifying gaps and repetition as data is being viewed more widely; post-assay, enhancing data quality is a continuous process.
Aside from improving processes from an asset management perspective, CDOT is also working to bring in sensory elements that will improve its real-time and predictive traffic and incident management performance. This includes drawing on information gathered and shared by first responders, tow trucks, the automatic vehicle location systems on winter maintenance vehicles, and so on. Data availability will increase exponentially once connected and autonomous vehicles (CAVs) become more prevalent.
Laipply: "Road networks are becoming information networks, but more data doesn't necessarily make you smarter. It's about how you pull it together and visualize things. At the same time, it's important to acknowledge that opportunities for improvement could be missed if 'excess' data is discarded."
A New Perspective
"The new Esri SoE is a highly effective way of working," says Barbara Cohn, chief data officer, senior consultant. She sees the ability to so readily prove and support good business use cases as critical to CDOT's continuing development and success.
Cohn notes especially the ability to draw on information from disparate sources, including those from outside the organization. To complement its traffic management operations, CDOT worked with Esri to access streams from private sector providers such as Waze and HERE. By working with Esri, it is also possible to look further into the future—overlaying mapping information for new property developments, freight movements, demographics, and more enables their effects on traffic patterns to be predicted and effectively managed.
"The ability to visualize vast amounts of information means that our understanding of what's happening is much more acute. Visualizations help identify trends, distill increasing amounts of information, and transform raw data into actionable insight.
"The SoE is breaking down data silos and providing a holistic view of the transportation network. Having the opportunity to look at all data, not just some, is inspiring new, creative, and cooperative problem solving," Cohn states.
"By using the common language of geography, we're really getting down to the ‘what, how, and where'. And, because we're continually enhancing content and bringing in additional data, we're enjoying unprecedented accuracy. It's important to note that these are not the static GIS maps of old; our solutions are far more dynamic and interactive, allowing personnel to drill right down to the granular level.
"We've also digitized and automated targeted manual processes and made qualitative and quantitative improvements. Our data's more accurate, and it's now being updated more regularly."
Once the case has been made for an application's development, an assessment is made of the data needed to support it. Colorado's geography gives rise to a rather more unusual safety and operations-related app that helps to demonstrate the versatility and variety possible using ArcGIS, as well as the utility of a typical app.
The state encompasses most of the Southern Rockies, and CDOT has some 35 mountain passes that it has to keep open during winter. To help control the threat of avalanches, it uses explosives as well as a 105 mm howitzer, which fires 40 lb. shells, to dislodge potentially dangerous snow buildup.
"2018 was a record year for avalanches, and we needed a way to track which avalanche paths were most likely to cause disruption. We also needed to know where to plant and, if necessary, recover explosives," Laipply explains. "By using the app, our field operatives no longer have to carry with them 10 years of handwritten notes. Via a smart device, they have all that information at their fingertips and know exactly where to aim or search for expended ordnance. Our reactions to events are far faster and more effective.
"A big plus of the SoE is that it's fast—we can have an initial version of an app ready in just a couple of weeks, or we can scrap failed ideas without significant cost. That means there's no reason why we can't create 40, 60, or even 80 apps to help people do their jobs."
"That's what's getting people very excited," continues Cohn. "The technology is reusable, and the apps are configurable with little or no custom code. Because we can fail fast and fail small, people at all levels are becoming more creative. By democratizing data, we're getting to that ‘boots on the ground' knowledge that is so important."
To learn more about the System of Engagement, visit go.esri.com/SoE-for-DOTs
Roads: The Next Generation
In addition to being able to make best-value investment decisions, CDOT is enjoying an uplift in its real-time traffic management operations. Also, with this short-term, more tactical improvements to performance, there is the potential to make some rather profound longer-term gains.
"As we get more data from new sources, deploy more sensors, and gain more information from CAVs, so we're going to be able to change how we design roads," Laipply states. "At present, the design is based on books, empirical formulae, and graphs—the right radius, right camber, and so on. Next, we'll take on data direct from CAVs such as pavement conditions and lane departures. We'll be able to design specific to locations and improve performance and safety."
To conclude, Cohn offers insight from history.
"When John Snow helped to arrest the City of London's cholera epidemic in the 19th century, he did it by identifying and locating polluted water pumps. The importance of mapping and analytics to the discovery of new insights and actionable knowledge has been recognized for a long time and cannot be overemphasized—especially for the most complex situations.
"The use of GIS is allowing us to future-proof ourselves in terms of data sources. It's helping to improve real-time operations and puts us on the cusp of better design. In the midst of perpetual change, one thing remains constant: CDOT's mission and commitment to safety and the highest levels of service. Esri talks about The Science of Where. It's location intelligence. That's the golden nugget that inextricably links us all and allows us to reach deeper."
"Road networks are becoming information networks, but more data doesn't necessarily make you smarter. It's about how you pull it together and visualize things. At the same time, it's important to acknowledge that opportunities for improvement could be missed if 'excess' data is discarded."