This paper focuses on the effect of weather conditions on daily traffic intensities (the number
of cars passing a specific segment of a road). The main objective is to examination whether …

In intelligent traffic control systems, the features extracted by loop detectors are insufficient to
accurately impute missing data. Most of the existing imputation methods use only these …

Effective use of loop detector data for traffic management requires that errors be efficiently
detected, diagnosed, and corrected. We present two new spatial approaches and compare …

Mobility is still increasing, as are its corresponding negative side effects such as congestion
and air pollution. To be able to take adequate measures to minimize these side effects, it is …

The data derived from loop detectors are of great importance in terms of traffic monitoring
and analysis. These data may contain many holes or incorrect values due to equipment …

Intelligent Transportation System in case of cities is controlling traffic congestion and
regulating the traffic flow. This paper presents three modules that will help in managing city …

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 …

Real-time urban traffic monitoring is crucial for effective smart city management. Despite the
increasing number of sensors collecting large-scale datasets in real time, challenges such …

Traffic speed on freeways can be measured by two types of technologies, ie probe sensors
and stationary sensors. Cross-validation is critical to ensure the consistency between …

This paper looks at the issue of data quality within the context of transportation operations
and management. The objective of this paper is to investigate data quality measures and …