01592761

Component

Pedestrian monitoring in large-scale settings is a challenging problem that arises in modern society. Manual techniques are costly, and an attempt has been made to automate the process. In this paper the authors incorporate different types of automatic sensor technologies to monitor pedestrian activities at the entire facility level. A case study is done during a large street festival in Montréal covering more than ten street blocks. The authors use WiFi sensors developed in-house to determine origin-destination sequences of pedestrians. One hundred hours of video recordings were collected and computer vision tools are being used for automated processing. Infrared counters are used during the ten days of the festival to obtain extrapolation factors that are then applied to the WiFi data to calculate the exact festival attendance. The results are to be used by the festival organization group for future planning, operations and financing.

This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics. Alternate title: Large-Scale Multisensor Monitoring of Pedestrian Dynamics in Public Spaces: Preliminary Results.

01584066

16-2901

English

19p

2016

Transportation Research Board 95th Annual Meeting

Digital/other

Figures; References; Tables

Methodology; Origin and destination; Pedestrian counts; Pedestrian flow; Sensors; Special events

IEEE 802.11 (Standard)

Data and Information Technology; Operations and Traffic Management; Pedestrians and Bicyclists

Transportation Research Board Annual Meeting 2016 Paper #16-2901

TRIS, TRB, ATRI

Jan 12 2016 5:18PM