Understanding and Guiding Pedestrian and Crowd Motion

First mile (access to transportation choice) and last mile (from vehicular transportation termination to final destination) can be the weakest links in smart mobility. Many people in the US do not live or work close to a transportation access point, and many people are mobility impaired. Bridging this first mile / last mile gap in the transportation network requires operating in non-traditional environments that might be heavily populated by pedestrians. The research team has proposed a solution as a network of on demand automated vehicles and are initiating a program to test and demonstrate a selection of these within the Ohio State University main campus. In preliminary studies the team has determined that one of the key capabilities required of such a system is the ability to move in pedestrian dense environments- for example sidewalks, pedestrian malls and roads, business or academic campuses, intersections and crosswalks. This includes areas situations in which pedestrians do not always obey the rules or expectations. Therefore the team is proposing a study of pedestrian motion in an environment where there are both static obstacles (trees, trash cans, lamp posts, fences, etc.) and moving platforms. The team will model and simulate both individuals with different characteristics and dense crowds. The team plans to also consider the guidance of such crowds, both for general traffic and for individual safety. Year 1 of the project will involve model development and simulation for pedestrians and crowds. Data will be collected using experimental the platforms to support and validate the models. The team will also explore behavior classification and the possibilities for modeling and achieving individual pedestrian and crowd guidance. Year 2 will involve continued refinement and expansion of the year 1 models, along with simulation and planning for a potential deployment, considering first a route or area selected on the OSU campus.

Language

  • English

Project

  • Status: Active
  • Funding: $123310
  • Contract Numbers:

    69A3551747111

  • Sponsor Organizations:

    Carnegie Mellon University

    Mobility 21 National UTDOT for Mobility of Goods and People
    ,    

    Office of the Assistant Secretary for Research and Technology

    University Transportation Program
    ,    
  • Managing Organizations:

    Carnegie Mellon Univeristy

    Mobility 21 National UTDOT for Mobility of Goods and People
    ,    
  • Project Managers:

    Schweyer, Lisa Kay

  • Performing Organizations:

    The Ohio State University

    ,    
  • Principal Investigators:

    Ozguner, Umit

  • Start Date: 20170619
  • Expected Completion Date: 20180930
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01677493
  • Record Type: Research project
  • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
  • Contract Numbers: 69A3551747111
  • Files: UTC, RiP
  • Created Date: Aug 7 2018 12:04PM