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Connected Vehicle Program – Dynamic Mobility Applications

Connected Vehicle Program – Dynamic Mobility Applications. Highlights for Tech Scan Scrum. Research Scope. Apps that exploit multi-source data from travelers, vehicles and infrastructure. Develop apps that improve “dynamic decision making” by system managers and users.

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Connected Vehicle Program – Dynamic Mobility Applications

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  1. Connected Vehicle Program – Dynamic Mobility Applications Highlights for Tech Scan Scrum

  2. Research Scope • Apps that exploit multi-source data from travelers, vehicles and infrastructure. • Develop apps that improve “dynamic decision making” by system managers and users. • Identify innovative forms of wireless connectivity in support of mobility apps • Improve capability of transpo system to provide safe, secure, and reliable movement of goods and people.

  3. Research Objectives • Mulitiple, multi-modal applications leveraging multi-source data. • Commercialization of applications. • Applications demonstrate cost-effective and significant mobility and productivity benefit.

  4. Research Questions • Are cross-modal applications effective? Which are best for deployment? • What minimum infrastructure is needed for maximum benefit? • What apps can be developed using data available today and with future data? • Which apps require public and/or private sector investments?

  5. 3-Phase Work Program Overview • Phase 1: Foundational Analysis. • Canidate apps and “data environments,” DCM coordination, prototype app, open-source process, and performance metrics. • Phase 2: Tool Development. • App ITS program relevancy, proof-of concept, simulated test beds, and open-source development. • Phase 3: Focused Deployments. • Promising apps considered for pilot deployment. Strong evaluation focus in this phase.

  6. Roadmap tracks 0. Program Support • Stakeholder Engagement • Mobility Applications Research and Development • Sub-Tracks: Technical, Intuitional and Policy, and Standards • Proof of Concept Tests • Demonstrations • Evaluation and Performance Measures • Outreach and Technology Transfer

  7. DMA App framework: EnableATIS • Enable Advanced Traveler Information System • Two operational scenarios possible: laissez-faire, incremental build-out approach, or robust, multimodal, multisource traveler information environment • Project Goals • Transform the user experience on the transportation network • Transportation networks will experience measureable gains in performance (mobility, safety, efficiency) • Robust traveler information suite enabled through data environment: public sector system and operations data, transportation network ops, and user data from privately operated systems.

  8. DMA App Bundle: FRATIS • Freight Advanced Traveler Information Systems • Two apps: • Freight Specific Dynamic Travel Planning and Performance • Drayage Optimization • One basic open source, and one commercial app • Three sites for demos: LA gateway, DFW, and South Florida

  9. DMA App Bundle: INFLO • Intelligent Network Flow Optimization • Apps address queue warning and detection and speed harmonization. • Three applications: • Queue Warning (Q-WARN) • Dynamic Speed Harmization (SPD-HARM) • Cooperative Adaptive Cruise Control (CACC)

  10. DMA App Bundle: MMITSS • Multi-Modal Intelligent Traffic Signal Systems • Aims to optimize traffic signal control • Wifi/3G/4G targeted to provide ped/bike coverage • Apps: • Intelligent Traffic Signal System (ISIG) • Transit Signal Priority (TSP) • Mobile Accessible Pedestrian Signal System (PED-SIG) • Emergency vehicle pre-emption (PREEMPT) • Freight signal priority (FSP)

  11. DMA App Bundle: R.E.S.C.U.M.E. • Detect and assess incidents. Push information to evacuees and model evacuation flows • Apps: • Incident Scene Pre-Arrival Staging Guidance for Emergency Responders (RESP-STG) • Incident Scene Work Zone Alerts for Drivers and Workers (INC-ZONE) • Emergency Communications and Evacuation (EVAC) • Advanced Automated Crash Notification Relay (AACN-RELAY)

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