Status: Planned
Description: The Pinellas County Smart City Data Platform (SCDP) consolidates the various transportation data sources into one mobility marketplace and make it available to the operators through a multi–layered dynamic map that integrates with their operational systems and provide to regional businesses and the public for application development through a secure, internet facing data feed. The PCC ATCMTD CAV project will enhance the SCDP system by adding a Predictive Analytics Module, a Demand Management Module, and a Decision Support System Module.
• Predictive Analytic Module –A Predictive Analytics module will use machine learning algorithms to allow for multiple risk factors to be considered and subsequently recommend where to act to prevent new crashes in the roadway network.
• Demand Management Module — A deterministic load balancing algorithm to distribute trips across the available network capacity based on speeds, travel times and current signal timings. The demand management module will use predictive analytics to anticipate congestion before it happens and leverage the DSS to optimally distribute trips across the available network capacity based on speeds, travel times and current signal timings.
• Decision Support System Module (DSS) – The DSS will optimally distribute trips across the available network capacity based on speeds, travel times and current signal timings. It will everage predictive analytical models to anticipate congestion before it happens, and then provide drivers with the Mobile Routing Analytics (MRA) app personalized routing and departure information to distribute their vehicles optimally across the roadway network.
Stakeholder: Pinellas County