Variations in urban traffic volumes

Abstract

This paper describes the variation in traffic volumes in the Dutch city of Almelo. For this study, we used traffic counts which were collected at about 20 intersections from September 2004 until September 2005. The objective of this study is to provide insight in both periodic and random variation in urban traffic volumes. This insight is used by policy makers and traffic managers to determine a suitable set of traffic measures. It is also a basis for short term predictions of volumes. We conclude that we can distinguish the following types of variation with respect to the average daily volume profile. (1) Seasonal variations with time-scales of weeks and weekly variations that describe the variation from day to day. These variations can be as large as 10% for the city of Almelo. (2) Periodic variations at time-scales of typically 30 minutes. These variations are recurrent and are often larger than 10%. (3) Noise. This variation has a random character. We show that the noise can be approximated by a Poisson distribution.

A Review of Studying the Relationship of Traffic Stream Characteristics and Noise Intensity with Flexible Pavement Surface Condition

“…As a result, we must estimate the demand based on the flow rate, i.e., traffic counts. They can be found at urban traffic-related information centers [13].…”

Urban Traffic Detectors Data Mining for Determination of Variations in Traffic Volumes

“…For the morning peak, a significant increase in traffic is evident in the period of May and June (weeks [20][21][22][23][24][25][26] where the seasonal index reaches its maximum. During the summer holidays, the average weekly volumes in the morning rush hour are close to the values in the off-peak hours which are probably a consequence of the increase in recreational traffic in the summer season with a view to the existence of popular tourist destinations in South Bohemia.…”

“…For example, these authors managed to find correlations between variations in long-term transport and a given type of area [4,7,27]. Other authors studied variations associated with weather and weather conditions on a given day where the weather effect on the resulting traffic volumes was found negligible, except on extreme weather conditions [12,26].…”