Automated Pedestrian Counter

The New Jersey Department of Transportation (NJDOT) needs to collect accurate pedestrian related information in a cost effective way. According to the RFP issued by NJDOT, there are key gaps for pedestrian planning and mobility including the "number of pedestrians using any given sidewalk, path, crosswalk, or other pedestrian facilities". The lack of such data is in turn clearly one of the one of the most significant barriers to the development of safety conscious transportation plans that includes pedestrians as well as vehicles. The same RFP states two important types of information needed for reliable decision-making: 1. better understanding of pedestrian behavior, 2. more accurate and complete inventory of pedestrian flow rates. In the past, pedestrian count information was generally collected manually. However, since the manual collection of accurate pedestrian counts can be quite expensive and time-consuming, this approach is used sporadically and as a result does not yield comprehensive data from which to make informed policy and planning decisions. In fact, because of extensive time and labor requirements of manual data collection, which might also be relatively inaccurate, reliable pedestrian flow information is most of the time not available to the planners and decision makers. In addition to the lack of meaningful pedestrian flow data, other information related to the understanding of "pedestrian behavior" is almost never available. Unfortunately, even the literature is quite limited in terms of this information. Most recently, researchers at the UC Berkeley Safety Center conducted a comprehensive feasibility study along with a pilot test to assess the best ways to collect both types of information namely, flow and behavior (Greene-Roesel et al., 2007). One of the main findings if their report is the fact that automated counters are the most feasible way of collecting pedestrian data that is reliable and statistically significant in terms of its sample size. In turn, this study provides support for the need to assess the feasibility and use of automated pedestrian counters in New Jersey. Such data could fill a key information gap for the lack of this information which is one of the key parts of the overall puzzle for decision makers and planners who would like to consider pedestrian oriented multi-modal transportation options when developing their planning projects.

  • Supplemental Notes:
    • Rutgers University, Center for Advanced Infrastructure and Transportation (CAIT)


  • English


  • Status: Active
  • Contract Numbers:

    217 RU7252

  • Sponsor Organizations:

    New Jersey Department of Transportation

    1035 Parkway Avenue
    Trenton, NJ  United States  08625
  • Project Managers:

    Nichnadowicz, Vincent

  • 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: 20080101
  • Expected Completion Date: 0
  • Actual Completion Date: 20091231
  • Source Data: RiP Project 18576

Subject/Index Terms

Filing Info

  • Accession Number: 01462530
  • Record Type: Research project
  • Source Agency: Center for Advanced Infrastructure and Transportation
  • Contract Numbers: 217 RU7252
  • Files: UTC, RiP, STATEDOT
  • Created Date: Jan 3 2013 2:05PM