%0 Journal Article
%T Accuracy Assessment and Guidelines for Manual Traffic Counts from Pre-Recorded Video Data
%A Mishuk Majumder
%A Chester Wilmot
%J Journal of Transportation Technologies
%P 497-523
%@ 2160-0481
%D 2023
%I Scientific Research Publishing
%R 10.4236/jtts.2023.134023
%X Traffic count is the fundamental data source for transportation planning,
management, design, and effectiveness evaluation. Recording traffic flow and
counting from the recorded videos are increasingly used due to convenience,
high accuracy, and cost-effectiveness. Manual counting from pre-recorded video
footage can be prone to inconsistencies and errors, leading to inaccurate
counts. Besides, there are no standard guidelines for collecting video data and
conducting manual counts from the recorded videos. This paper aims to
comprehensively assess the accuracy of manual counts from pre-recorded videos
and introduces guidelines for efficiently collecting video data and conducting
manual counts by trained individuals. The accuracy assessment of the manual
counts was conducted based on repeated counts, and the guidelines were provided
from the experience of conducting a traffic survey on forty strip mall access
points in Baton Rouge, Louisiana, USA. The percentage of total error,
classification error, and interval error were found to be 1.05 percent, 1.08
percent, and 1.29 percent, respectively. Besides, the percent root mean square
errors (RMSE) were found to be 1.13 percent, 1.21 percent, and 1.48 percent,
respectively. Guidelines were provided for selecting survey sites, instruments
and timeframe, fieldwork, and manual counts for an efficient traffic data
collection survey.
%K Traffic Survey
%K Counting Error
%K Transportation Planning
%K Total Error
%K Collecting Video Data
%K Classification Error
%K Standard Guidelines
%K Repeated Counts
%K Interval Error
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=127393