No.68, New Ganquan west road,YangZhou, Jiangsu,China

No.68, New Ganquan west road,

YangZhou, Jiangsu,China

Send us a mail

sales@amtecmc.com

+86 13218821777

No.68, New Ganquan west road,YangZhou, Jiangsu,China

No.68, New Ganquan west road,

YangZhou, Jiangsu,China

Send us a mail

sales@amtecmc.com

+86 13218821777

Table of Contents

Data Analysis and Safe Driving

Good protection decisions are based on accurate, detailed data. Understanding which defense techniques and interventions work best involves dealing with a variety of agencies and working with historical info challenges. Data research is essential for the management of road security, and excellent data will help determine priorities and select the best security strategies. Generally, there are half a dozen criteria to assess data top quality. These include timeliness, accuracy, completeness, uniformity, the usage, and ease of access.

To begin, road characteristics data are frequently associated with crash data. These two data sets could be analyzed in conjunction with other traffic volume data to identify areas with the optimum crash prices. With these details, agencies can easily prioritize defense improvements that focus on strengthening specific areas. To make sure that the protection improvements will be delivering the expected benefits, safety specialists must hyperlink the data using a standardized personal reference description program. Common methods involve spatial, linear, or perhaps geographic research systems.

The results quality of accident analysis is determined by the degree of data and the number of fails. The data collection process will take several years, as well as the process can be expensive. Fortunately, the us government has considered the first step toward ensuring that this data is definitely complete, accurate, and timely. Its guidelines are made to help talk about agencies make decisions based on data which can be used to improve safeness. These guidelines provide recommendations and recommendations for improving crash data collection and research.

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