Data Driven Performance Measures for Effective Management of Complex Transportation Networks

In the past transportation data was collected through the limited deployment of infrastructure-based sensors of manual spot counts and surveys. Data collection is still extensively using these "planning oriented data collection" approaches. However with the advent of Intelligent Transportation Systems, increasing amount of on-line operational transportation data for every component of a transportation system is becoming readily available. From probe based data captured by freely roaming cars and buses to electronic payment systems that can practically capture every detail of a trip of every commuter using car, bus or train, these new technologies provide brand new opportunities for better monitoring and management of complex transportation systems. This is because we can now use this on-line data that is practically being collected on a 24/7 basis to quantify a number of realistic "performance measures" that will allow transportation agencies to make timely and proactive decisions. Among the major categories of performance measures identified by recent research are: (1) Preservation of assets mainly dealing with infrastructure conditions. (2) Mobility and accessibility. (3) Operations and maintenance. and (4) Safety Clearly, the past focus on using performance measure has been on the development of long-term plan. On the other hand on-line transportation data has been historically used for short-run operational decisions such as for running traffic adaptive signal systems or real-time management of traffic incidents. This project proposes integration of this new on-line operational data with performance measures not only to make long-term strategic planning decisions but also relatively short-term tactical decisions. Among this myriad of new on-line transportation data sources, traffic flow and safety data are the two important categories that can be used to assess system performance and make better tactical decisions on a day-to-day basis. For example, if there is data about day-to-day traffic conditions and accidents while a major construction project is active on a given section of a network, tactical performance measures about the number of accidents around the work zone and time it takes to clear them along with travel times can be used to re-adjust the work zone configuration and the incident response operations to minimize delays and improve reliability. This is a real tactical approach to assess the behavior of the transportation system through the use of short-term performance measures and on-line data. On the other-hand, mid-term and long-term decisions can also be made using the same approach of integrating right performance measures with on-line data.


  • English


  • Status: Active
  • Funding: $153618.00
  • Contract Numbers:


  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Crichton-Summers, Camille

  • Performing Organizations:

    Center for Advanced Infrastructure and Transportation

    Rutgers University
    100 Brett Rd
    Piscataway, NJ  United States  08854-8058
  • Principal Investigators:

    Ozbay, Kaan

  • Start Date: 20120101
  • Expected Completion Date: 0
  • Actual Completion Date: 20131031
  • Source Data: RiP Project 29285

Subject/Index Terms

Filing Info

  • Accession Number: 01489163
  • Record Type: Research project
  • Source Agency: University Transportation Research Center
  • Contract Numbers: 49111-25-23
  • Files: UTC, RiP
  • Created Date: Aug 2 2013 1:00AM