how we got there
What is this road asset management stuff?
There were three main areas I focused my efforts on during initial discovery. The market, the users and roadway data.
GM enlisted the help of an outside agency to do a large competitive and pricing study of the RAM market. Armed with that and the research I conducted, I was able to gain important insights from the research that would help inform the MVP.
There were some fundamental questions that had to be answered pertaining to vehicle data. One, can our vehicles collect the right type of data to effectively inform road worthiness. Another was could the data be delivered at scale in a consumable way. I worked with internal GM resources and partners to understand what types of data our current and future vehicles collect and the data needed for DOTs to make decisions around road asset management.
For the users I worked to understand how the people who’s responsibilities it is to manage, monitor and repair roadways do their jobs, the tools they use and the information they need to make decisions.
Interviews
I interviewed a variety of relevant parties at our DOT road commission partners in California and Michigan including executives, directors, engineers, operations and maintenance personal.
The research helped us gather important information around the behaviors, goals, and frustrations to inform persona and feature development.
interview insight
"Data collection is manual and time consuming"
Laurence White - Rural County Engineer
interview insight
"Need to do measurements and analysis "due diligence" to get funds."
Scott Smith - ARA Consultant
interview insight
"No access to real-time data, or data that provides further insight on driver behavior, weather conditions or near misses"
Larry Calloway - Director
Roadway data collection, planning and reporting
Market insights
market research insight
Agile and low-cost data collection
Cities and Metropolitan Planning Organizations (MPO's) are increasingly interested in using low-cost derivatives of RAM data collection solutions, which are offered by software vendors as complementary techniques.
market research insight
Integration with existing DOT platforms
Integrations with TMS, AMS and GIS systems (providing a comprehensive view of transportation-related data)
market research insight
Different types of data
Camera capabilities, road sensors, self-reporting, driving behavior and predictive analytics.
market research insight
RAM specific solutions
Vendors with precise road asset forecasting and budget planning are disrupting the bundled propositions of enterprise-wide suite participants like Bentley and DeightonAgile Assets, who handle all TAMP assets.
CL Originate before the redesign
CL Originate before the redesign
CL Originate before the redesign
CL Originate before the redesign
CL Originate before the redesign
CL Originate before the redesign
CL Originate before the redesign
Through participating in data collection studies and conducting internal GM workshops, I gained insight into the capabilities of our vehicles. GM partnered with Inrix, a leading transportation data analytics company, to study road networks in Washington, D.C. using connected vehicles to collect data on road conditions and safety. Vehicles tested on standard routes where reference measurements of IRI (International Roughness Index) by laser equipment exist. These reference measurements are used to calibrate the measurements for each vehicle model. Roughness measurements from connected vehicles are aggregated in the cloud.
The International Roughness Index (IRI) is used by highway professionals throughout the world as a standard to quantify road surface roughness. The Michigan Transportation Asset Management Council has selected the PASER rating system as the statewide standard of pavement condition reporting. The road roughness index is the weighted average value of the observed measurements of the international roughness index (IRI) for the state
I also worked with our university at DOT partners to access how road condition data is currently planned and collected and the technologies utilized like GIS/GPS, Pavement assessment tools, ASTM (suspension travel) methods, scanning and 3rd party solutions.
process insight
The typical timeline from roadway data collection to planning and budgeting can take anywhere from 2-5 years.