Incorporating Image-Based Traffic Information for AADT Estimation: Operational Developments for Agency Implementation and Theoretical Extensions to Classified AADT Estimation
نویسنده
چکیده
contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented, and not of any collaborator or funding institution.
منابع مشابه
Methodology to Characterize Ideal Short-Term Counting Conditions and Improve AADT Estimation Accuracy Using a Regression-Based Correcting Function
Transportation agencies’ motor vehicle count programs tend to be well established and robust with clear guidelines to collect short-term count data, to analyze data, develop annual average daily traffic (AADT) adjustment factors, and to estimate AADT volumes. In contrast, bicycle and pedestrian traffic monitoring is an area of work for most transportation agencies. In most agencies, there are a...
متن کاملA Methodology to Characterize Ideal Short-term Counting Conditions and Improve AADT Estimation Accuracy Using a Regression-based Correcting Function
Transportation agencies’ motor vehicle count programs tend to be well-established and robust with clear guidelines to collect short-term count data, to analyze data and develop annual average daily traffic (AADT) adjustment factors, and to estimate AADT volumes. In contrast, bicycle and pedestrian traffic monitoring is an area of work for most transportation agencies. In most agencies, there ar...
متن کاملDevelopment of Statewide AADT Estimation Model from Short-Term Counts: A Comparative Study for South Carolina
Annual Average Daily Traffic (AADT) is an important parameter used in traffic engineering analysis. Departments of Transportation (DOTs) continually collect traffic count using both permanent count stations (i.e., Automatic Traffic Recorders or ATRs) and temporary short-term count stations. In South Carolina, 87% of the ATRs are located on interstates and arterial highways. For most secondary h...
متن کاملForecasting Network Data: Spatial Interpolation of Traffic Counts Using Texas Data
Annual average daily traffic (AADT) values have long played an important role in transportation design, operations, planning, and policy making. However, AADT values are almost always rough estimates based on the closest short-period traffic counts, factored up using permanent automatic traffic recorder data. This study develops Kriging-based methods for mining network and count data, over time...
متن کاملEstimating Annual Average Daily Traffic Using Daily Adjustment Factor
This study dealt with estimating AADT which serves the important basic data in transportation sector. AADT estimation is fundamental to the analysis of transportation data sets and the management of transportation systems. AADT is estimated using short-term traffic counts at most sites because permanent traffic counts is installed at limited sites. To estimate AADT, an adjustment factor applica...
متن کامل