Traffic safety analysis has often been undertaken using historical collision data. However, there are well-recognized availability and quality problems associated with collision data. In addition, the use of collision records for safety analysis is reactive: a significant number of collisions has to be recorded before action is taken. Therefore, the observation of traffic conflicts has been adv...

BACKGROUND Road traffic injury is a major cause of death among youths. AIMS To estimate mortality differences in family socioeconomic position (SEP) and municipal disadvantage level. METHODS Data on all Norwegians born in 1967-76, gathered from national registries, were linked by a unique national identification number. The 611 654 participants were followed-up for 5 years from age 16 years...

OBJECTIVE This article provides a review of recent models of driver behavior in on-road collision situations. BACKGROUND In efforts to improve traffic safety, computer simulation of accident situations holds promise as a valuable tool, for both academia and industry. However, to ensure the validity of simulations, models are needed that accurately capture near-crash driver behavior, as observ...

Recently, there has been a growing demand and interest in developing methods for analyzing smartphone logs to extract traffic safety information. Because the log is high time resolution and closely related to user activities but fragmentary and myopic, it is difficult for currently available collision probability based quantitative risk assessment methods to create traffic safety maps automatic...

Intelligent speed adaption (ISA) is one type of vehicle-based intelligent transportation systems (ITS), which warns and regulates driving speed according to the speed limits of the roads. Early field studies showed that ISA could reduce general mean speed levels and their variances in different road environments. This paper studies the effects of various ISA penetration grades on pedestrian saf...

In spite of the strategic importance of the national Portuguese road network, there are no recent studies concerned with either the identification of contributory factors to road collisions or collision prediction models (CPMs) for this type of roadway. This study presents an initial contribution to this problem by focusing on the national roads NR-14, NR-101 and NR-206, which are located in Po...

This paper presents the use of the Aimsun microsimulation program to simulate vehicle violating behaviors and observe their impact on road traffic crash risk. Plugins for violations of speeding, slow driving, and abrupt stopping were developed using Aimsun's API and SDK module. A safety analysis plugin for investigating probability of rear-end collisions was developed, and a method for analyzin...

1 Traditional road safety diagnosis is a reactive approach, based on historical collision data. This work aims at developing a proactive approach which avoids waiting for accidents to happen. There is a need for surrogate safety measures that can also provide complementary information and are easy to collect, e.g. requiring shorter observation periods. The observation of traffic conflicts, near...

Road collisions represent a worldwide pandemic which can be addressed through the improvement of existing tools for safety analysis. The paper presents a refined probabilistic framework for the analysis of road user interactions. In particular, the identification of potential collision points is used to estimate collision probabilities and their spatial distribution can be visualized. A probabi...

background and aim: traffic accident is one of the main causes of mortality in iran. the damage and injury caused by these accidents threatens human societies severely. rural accidents are often more severe and show harsher consequences because the operational speed is higher on rural roads and highways. world statistics presented by world health organization (who) reveal that about 25 percent ...