Most accident prediction models belong to the count data regression models, in particular the negative binomial model, which assumes all data or cases are statistically independent. This assumption, however, may be violated when repeated observations over multiple periods (e.g., yearly accident counts) at the same locations (e.g., intersections and road segments) are used as independent cases i...

During last decades, owing to the increase in a number of vehicles, the rate of accident occurrence grows significantly. Efforts must be made to provide efficient tools to prioritize segments requiring safety improvement and identify influential factors on accidents. This objective of the research was to determine the safety oriented threshold of International Roughness Index (IRI) to recognize...

ENGLISH) This study presents a surrogate approach for safety analysis of freeway facilities using semiautomated trajectory collection and behavioural analysis from surrogate measures of safety (in particular time to collision). This methodology is proposed as a potential alternative to the classical approach based on historical accident data, particularly suited for evaluating the microscopic s...

Several different factors contribute to injury severity in traffic accidents, such as driver characteristics, highway characteristics, vehicle characteristics, accidents characteristics, and atmospheric factors. This paper shows the possibility of using Bayesian Networks (BNs) to classify traffic accidents according to their injury severity. BNs are capable of making predictions without the nee...

BACKGROUND Geographic Information Systems (GIS) describe the topography and chronology of events in a defined vector space. GIS may also be used for an integrated analysis of environmental and road-related risk factors for traffic accidents. METHODS In a retrospective study, various features of 165 road crashes were linked to a GIS-generated digital map of an area close to a national highway ...

Sight distance obviously affects safety. Although this statement is universally accepted, the relationship between sight distance and safety has not yet been successfully quantified. One reason for this is the obvious strong correlation between sight distance and alignment. Where roads have no vertical or horizontal alignment change, the available stopping sight distance (SSD) is not limited by...

Accident prediction models, also known as safety performance functions, have several important uses in modern day safety analysis. Unfortunately, calibration of these models is not straightforward. This paper documents a research effort that demonstrates the complexity of calibrating these models for urban intersections. These complexities relate to the specification of the functional form, the...

With the continuous increase in highway mileage and vehicles China, accidents are also increasing year by year. However, on-site disposal procedures of complex, which makes it difficult for emergency department to fully observe accident scene, resulting lack sufficient communication cooperation between multiple departments, making rescue efficiency low wasting valuable time, causing unnecessary...

One of the primary objectives transportation engineering is to increase safety road infrastructure. This study seeks determine relationship between geometric design parameters in relation accident criteria based on hotspots Jordan’s Desert Highway. The data (from 2016 2019) were collected from Jordan Traffic Department. spatial pattern was identified using a GIS tool named Getis-Ord Gi* severit...