After an extensive and exhaustive procurement process, VDOT selected Arup US, Inc. to serve as the prime contractor to develop, implement, and operate the AI-DSS.
The Supplier Project Development Team, led and managed by Arup, includes four subcontractors that are engaged in technological and solution development for the AI-DSS. These subcontractors are: Mindhop, Inc. (solution architecture, prediction engines, artificial intelligence and machine learning, and web user interface); Southwest Research Institute (rules engine); Aimsun (online and offline modeling); HNTB Corporation (response plans advisory and ongoing operations); and toXcel (behavioral science advisory).
The Supplier Team’s day-to-day activities are being guided and overseen by the VDOT Project Management (PM) Team. This team is led by Candice Gibson, VDOT, who serves as the AI-DSS Business Owner/Project Manager and Jeff Adler, Kapsch TrafficCom, serving as the AI-DSS Partner Technology Project Manager.
The AI-DSS will support and enhance multi-modal transportation incident management in Northern Virginia (NoVA) and the Fredericksburg area. The system, once it is developed and deployed, will support the following capabilities: (1) identify and evaluate current travel conditions,(2) predict future congestion and parking conditions, (3) guide transportation agency operators in making informed, decisions to manage both recurring and non-recurring congestion, and (4) recommend actions for responding to transportation disruptions and assessing the impacts of those disruptions on the region.
The AI-DSS is organized around five subsystems: (i) Rules Engine, (ii) Modeling Engine, (iii) Response Plans, (iv) Predictive Engine, and (v) Interactive Graphical User Interface (GUI).
The timeframe for full deployment of the AI-DSS is currently projected for Spring 2026. Rollout of the system is scheduled to be undertaken in five development cycles, called “epics,” as shown below. The length of these epics is subject to change.
After the system is successfully deployed and tested, the project will move into operations mode. All interested regional transportation stakeholders will then have access to the AI-DSS.