Program Elements
RM3P is deploying four sets of technologies called program elements. These include mechanisms for the efficient exchange of information between stakeholder agencies, as well as tools that allow operators and service providers to address incidents and congestion more quickly and efficiently. The four program elements are identified and described below.
Data-Exchange Platform
The Data-Exchange Platform (DEP) is a reliable, continuously updated, cloud-based data storage and exchange system. It is expected to be used by regional partners and third-party providers to capture, process, and exchange information on real-time and historic multi-modal travel conditions. This platform is feeding necessary data to other RM3P program elements and disseminates value-added and full-grown data produced by these elements.
AI-Based Decision Support System
The AI-Based Decision Support System (AI-DSS) helps predict disruptions to the transportation network and provides coordinated response options to agencies. The tool for transportation operators uses travel data to monitor emerging conditions and recommends plans for coordinated, multi-agency and multi-modal responses to congestion, incidents, and events.
Commuter Parking Information Services
The Commuter Parking Information Services (CPIS) is a data-centric portfolio of consolidated commuter parking lot information on historic and real-time parking availability that enables third-party providers to offer information about parking lots, parking space availability, and other available services at select lots to foster the use of transit, vanpool, and carpool.
(Deferred) Multi-Modal Analytical Planner
The Multi-Modal Analytical Planner (MMAP) will be a collaboration tool for transportation service providers to pinpoint unmet needs in the transportation network. This highly interactive tool will enable mobility providers to study the impacts of “what-if” scenarios and better plan for travel demand by identifying underserved areas, especially during disruptive events.
Dynamic Incentivization
Dynamic Incentivization (DI) is a data-driven system offering the public inter-modal trip options with time and cost information and incentives to modify their travel choices and behaviors in response to real-time travel conditions.