Understanding and Guiding Pedestrian and Crowd Motion
项目名称: Understanding and Guiding Pedestrian and Crowd Motion
摘要: 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.
状态: Completed
资金: 123310
资助组织: Office of the Assistant Secretary for Research and Technology
管理组织: Carnegie Mellon University
项目负责人: Kline, Robin
执行机构: The Ohio State University
主要研究人员: Ozguner, Umit
开始时间: 20170619
预计完成日期: 20200131
实际结束时间: 20200501
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