Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Help
Clear All

Query Builder

Query box

Help
Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Model Information Exchange System (MIXS).

Filetype[PDF-4.13 MB]


  • English
    • Details You May Also Like

    Details:

    • Creators:
    • Corporate Creators:
      University of Florida. Dept. of Urban and Regional Planning
    • Subject/TRT Terms:
    • Publication/ Report Number:
      BDK75 977-55
    • Resource Type:
      Tech Report
    • Geographical Coverage:
      Florida
    • Corporate Publisher:
      Florida. Dept. of Transportation
    • NTL Classification:
      NTL-PLANNING AND POLICY-PLANNING AND POLICY;NTL-PLANNING AND POLICY-Travel Demand;
    • Abstract:
      Many travel demand forecast models operate at state, regional, and local levels. While they share the same physical network in overlapping geographic areas, they use different and uncoordinated modeling networks. This creates difficulties for models to exchange common information and can result in data collection redundancies and difficulties in finding data errors or comparing future projections. This research investigated the issues of network information exchange among models and proposed a framework to accomplish the information exchange using a unified statewide Geographic Information Systems network approach. Named 'Model Information eXchange System' (MIXS), the proposed solution includes a geospatial relational data model that can support all participating models with their input variables and forecast scenarios; protocols to guide the exchange process; Web-based tools to visualize, compare, extract and upload models; and a process to handle network updates. Two tests, one with a small database and another with a full statewide model, confirmed the feasibility of the MIXS database and processes. Although participation in MIXS is not without challenges, most technical problems considered can be solved. Successful implementation of MIXS will require Department of Transportation leadership and support, participation and commitment of various regional and local modeling agencies, and a one-time conversion to the unified network for any model to participate in MIXS. MIXS will create an environment that promotes convergence, standardization and unification of data and potentially model assumptions, reduction of duplicate data collection efforts, reduction of errors, and ultimately will result in better and more consistent models throughout the state. A potential linkage of MIXS with a cloud-based modeling engine is recommended as one of the future items to explore during its practical implementation.
    • Format:
      PDF
    • Collection(s):
    • Main Document Checksum:
    • Download URL:
    • File Type:

    Supporting Files

    • No Additional Files

    More +

    You May Also Like

    Checkout today's featured content at rosap.ntl.bts.gov

    Version 3.26