GIS-T Symposium 2024
- Date: 4/2/2024-4/5/2024
- Location: The Westin Peachtree Plaza, Atlanta, GA
- More info: Click here
- Find us at Booth 40
Join us at the GIS-T Symposium, hosted by AASHTO, for access to presentations covering completed and ongoing projects that describe problems, solutions, their importance to the field, and how they impacted practice and capacity.
The GIS-T Symposium brings together professionals from government and private industry interested in the use of GIS for transportation. Network and share experiences, knowledge, see state-of-art software, and learn more about this field. Join your fellow professionals in addition to the 40+ exhibitors in the technology hall.
AASHTO is a nonprofit, nonpartisan association representing highway and transportation departments in the 50 states, the District of Columbia, and Puerto Rico. It represents all transportation modes: air, highways, public transportation, active transportation, rail, and water. Its primary goal is to foster the development, operation, and maintenance of an integrated national transportation system.
Automated conflation of the Massachusetts road inventory with Massachusetts INRX TMC segments
Presented by: Charles Major, GIS Database Administrator of the Massachusetts Department of Transportation and Michael Sewall, Principal GIS Consultant at 1Spatial Inc.
- April 5, 2024
- 8:00 AM-8:30 AM ET
- Augusta Ballroom FGH (Augusta Level, 7th Floor)
A common problem for transportation data users is when required information is carried on different applied transportation spatial networks that are not driven by the same geometry. Often it can be difficult to systematically link segments that represent the same real-world space across a complex network. MassDOT faced this problem with its own network and the INRIX TMC network. Using conflation, MassDOT has created a tabular, accurate link between these two networks using a developed ruleset in 1Integrate. The result of the conflation is an event on the Massachusetts Road Inventory network that contains the unique Identification values for the corresponding TMC segments that can be used to integrate attributes from the INRIX network with data in the Road Inventory and vice versa. This presentation will discuss how this conflation ruleset was developed, the process around quality assurance and implementation of the resulting conflation output, and challenges faced in the conflation rules development through its different iterations. Through this work, the conflation results have been used to power analyses that incorporate data from both networks, enabled MassDOT to submit speed and traffic information updates back to the CATT Lab to improve the quality of the INRIX data, and has enabled ongoing work to improve the quality of both networks’ geometries by identifying missing segments on each respective network.
Building a Brighter Future for All. The California Road Sharing (CaRS) Project.
Presented by: Sheila Steffenson
- April 5, 2024
- 11:00 AM-11:30 AM ET
- Augusta Ballroom AB (Augusta Level, 7th Floor)
A presentation discussing the FHWA AEGIST Pooled Fund Study California Road Sharing (CaRS) Project. A graphical, georeferenced representation of California’s road network is created and maintained by various government agencies, including the State Department of Transportation (Caltrans), 58 counties, and 482 cities, for different purposes—using different approaches. A single statewide road network dataset is needed that supports California government agencies to use this foundational data for highway infrastructure asset management, infrastructure projects planning and programming, emergency management, highway performance management, highway safety analysis, road user charging (RUC), etc. The Statewide roads dataset would also be used to report data to the Federal Highway Administration and could be used in the development of the National Road Network dataset, which FHWA and certain select State Departments of Transportation (State DOTs) are currently piloting.
In California, local agencies model all roads in their county, including the higher functional class roads, to submit the data to NG911. These local agency-prepared roads datasets can be imported into the Caltrans LRS and can be conflated with the routes in the Caltrans All Roads LRM. Specifically, the missing local roads in the Caltrans LRS can be added based on the information provided in the local roads data. Additionally for all roads in the local roads dataset, information about all road names, road class, direction (one- way/two-way), and NG911 roads identifiers can be added to the Caltrans All Roads database for each NG911 road segments. The technical feasibility of this data integration was investigated and confirmed as part of the CaRS Phases 2 and 3. Using tools such as 1Integrate, ArcGIS Pro, and ArcGIS Roads and Highways, the differences in different roads datasets can be identified and used to update/add to any of the source roads datasets. The differences in roads data modeling rules among Caltrans and local agencies were also identified, and it was established that these differences were not significant and would not affect conflation of the roads datasets. Overall, it was also confirmed that it is possible to create a unified road network database that can be used to publish the unified roads dataset to all stakeholders in the state.