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NGSIM: Plan for the Future NGSIM Stakeholders Meeting January 21, 2007.

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Presentation on theme: "NGSIM: Plan for the Future NGSIM Stakeholders Meeting January 21, 2007."— Presentation transcript:

1 NGSIM: Plan for the Future NGSIM Stakeholders Meeting January 21, 2007

2 Briefing Topics 1. Current Program Status 2. Options for NGSIM next steps 3. Transition to NGSIM Community concept

3 Current Funding/Program Status All in-process work is fully funded No additional dedicated FHWA funding expected for NGSIM What does this mean for the future of NGSIM?

4 Considerations for Looking Forward The FHWA NGSIM program is a recognized success story Transforming FHWA from market competitor to market facilitator Providing high-quality trajectory data sets and new algorithms to address long-standing issues in congestion modeling Facilitating collaboration between users, modelers and software vendors Long-term preservation of NGSIM momentum requires revisiting the nature of the FHWA role and the organization of the NGSIM community Current top-down, FHWA-funded model will not be sustained

5 Briefing Topics 1. Current Program Status 2. Options for NGSIM next steps 3. Transition to NGSIM Community concept

6 NGSIM Next Steps: High-Level Options Option 1: FHWA Funds, Leads Continue under current funding and organizational structure – option not viable without new funding Option 2: FHWA Walks Away Sends a signal to the market that FHWA is no longer interested in fundamental simulation fidelity NGSIM assets (data sets and algorithms) potentially lost Option 3: NGSIM Community Deploy some current NGSIM funding to establish a self- governing, self-sustaining community Preserves current assets and community connections Provides opportunity for future simulation-related data sets and algorithms

7 NGSIM Next Steps: Summary of High-Level Options

8 Why Pursue NGSIM Community Option? NGSIM program is proven and mature, but there is more work to be done Additional dataset and algorithm needs – recurring and non- recurring congestion Untapped potential to significantly improve transportation analyses and decision-making NGSIM is in an efficient “product development” mode NGSIM has broad support from simulation community to continue Opportunity to leverage existing FHWA investment in NGSIM for long-term benefits to decision-makers

9 Briefing Topics 1. Current Program Status 2. Options for NGSIM next steps 3. Transition to NGSIM Community concept

10 NGSIM Core Functions: Inputs, Outputs, Resources and Constraints NGSIM Community Members NGSIM Tools NGSIM Core Functions FundingOrganizational Outputs Inputs NGSIM Website Datasets Core Algorithms Candidate Datasets Tool Shortcomings Candidate Algorithms Research Needs Constraints Resources RMF Identify Research Needs Manage Assets Facilitation

11 NGSIM Program: Current Funding Sources and Management NGSIM Community Members NGSIM Tools FHWA NGSIM Organizational Outputs Inputs NGSIM Website Datasets Core Algorithms Candidate Datasets Tool Shortcomings Candidate Algorithms Research Needs Constraints Resources FHWA Contractor (CSI) Funding FHWA Direction Algorithm Development Dataset Collection (FHWA NGSIM Funded) RMF

12 Proposed NGSIM Community: Principles for New FHWA Role Provision of NGSIM core functions Staffing for organizational activities will not be FHWA-funded Repository and tool management will not be FHWA-funded FHWA will become community member, not community director Accommodating new simulation-related research Algorithm development and dataset collection will not be funded from an NGSIM-specific FHWA program NGSIM provides permanent home for quality data sets, algorithms developed under an umbrella of potential funding sources −NCHRP/TCRP, SHRP-II, UTC, non-NGSIM FHWA programs −NGSIM-organized partnerships NGSIM provides mechanism to promote simulation-based research by issuing simulation research needs

13 Proposed NGSIM Community: Core Functions Migrate from FHWA to Members NGSIM Community Members NGSIM Tools Members Provide Core Functions Outputs Inputs NGSIM Website Datasets Core Algorithms Candidate Datasets Tool Shortcomings Candidate Algorithms Research Needs Resources R M F UserMod. Ven. FHWA Basic Research Funding NCHRP Pooled Fund UTC Other Organizational Constraints Community By-Laws Core Function Funding $0?

14 NGSIM Community: Strawman Organizational Structure Self-governing, self-sustaining model Community members are individuals, not organizations All community functions are performed by members −No cost to join −No remuneration (from the community itself) for participation −No funding passes through community structure No FHWA veto power, community is self-governing Community leadership roles based on meritocracy: “those that do, lead” Organization structure based in part on successful models from Information Technology field

15 Transitioning to NGSIM Community: Proposed Next Steps Community outreach and refinement of vision (winter/spring 2007) Presentation at NGSIM meeting at TRB White paper on proposed organizational structure in Spring 2007 NGSIM Stakeholder Conference (spring/summer 2007) Gain consensus on community structure Develop community management by-laws Reprioritize algorithm and dataset needs Develop NGSIM-UTC Partnerships (2007) Region X UTCs (Idaho, Washington, and Oregon) developing Signalized Intersection Behavior Algorithm Develop additional NGSIM-UTC partnership opportunities Full transition to NGSIM community by fall 2008


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