Sentence examples for road user data from inspiring English sources

How can contributing-factor chain schemas be applied to naturalistic road user data?

It is difficult to define appropriate population denominators for rate estimation on individual road segments and, as road user data were not collected, analyses were based on the patterns of change in annual counts within each road segment.

Depaire et al. [2] applied latent class clustering on two road user traffic accident data from 1997 to 1999 of Belgium which divides the accident data into seven clusters.

For example, to obtain more complete data road user types, direct closed-ended questions should be used during the interview so that more respondents will be able to recall and report the type of vehicle involved in the accident.

Stratification for follow-up will be determined by the prevalence of key variables of interest in baseline data (road user group, severity of injury, age, gender and socioeconomic status) to ensure the study has sufficient power to describe, with precision, measures of function, HRQoL and cost in the longitudinal sample across these factors.

The papers included in this issue illustrate how research using instrumented test vehicles continues to generate new knowledge, and how the larger scale United States and European naturalistic and field operational test studies are providing a wealth of data about road user behaviour in real traffic.

The data per general road user group (i.e. not divided in age groups) are for all persons (weighted by population).

Methods based on ex-post analysis of accident statistics are not relevant for the case of ITS for vulnerable road user, because little or no statistical data on such applications are available.

However, automated data collection for these two road user types remains a challenge.

These assessment approaches vary by project goals, applied data collection methods and vulnerable road user group.

Demographic, road user group, injury nature and severity, and in-hospital outcomes data were extracted from VOTOR for eligible cases.