IMPROVING TRAFFIC SAFETY USING MODERN METHODS FOR ACCIDENT DATA COLLECTION

[Collection & transport of traffic accident victims].

Knowledge Discovery from Road Traffic Accident Data in Ethiopia: Data Quality, Ensembling and Trend Analysis for Improving Road Safety

Descriptive analyses of the magnitude and situation of road safety in general and road accidents in particular is important, but understanding of data quality, factors related with dangerous situations and different interesting patterns in a data is of even greater importance. Under the umbrella of an information architecture research for road safety in developing countries, the objective of th...

Review of Data Collection Methods for Microscopic Traffic Simulation

Research into developing more reliable microscopic traffic simulation models is seriously hampered by the availability of suitable microscopic data for calibration and validation purposes. This paper presents a review of several data collection technologies that the authors have been experimenting with. The methods include (i) video recording (ii) the use of differential GPS (DGPS) and (iii) an...

Traffic Accident Data Processing

Real-world Accident Data – Coordinated Methodologies for Data Collection to Improve Vehicle and Road Safety

Real-world accident data is used as part of the process by which vehicles and roads are made safer. Typically data is used to identify priorities in injury prevention and to support the development of test procedures. However the provision, nature and integration of accident data with safety policy is in many cases unsystematic and not fully capable of meeting the requirements of it. This paper...