Analysis of Factors Affecting Real-Time Ridesharing Vehicle Crash Severity

Factors affecting road crash modeling

Dynamic Matching for Real-Time Ridesharing

Authors are encouraged to submit new papers to INFORMS journals by means of a style file template, which includes the journal title. However, use of a template does not certify that the paper has been accepted for publication in the named journal. INFORMS journal templates are for the exclusive purpose of submitting to an INFORMS journal and should not be used to distribute the papers in print ...

Temporal factors in motor vehicle crash deaths.

OBJECTIVE To summarize fatal motor vehicle crash deaths in the United States by time of day, day of week, month, and season, and to determine why some days of the year tend to experience a relatively high number of deaths. METHOD Crash deaths were identified and categorized using the Fatality Analysis Reporting System. Days of the year with relatively high crash deaths were compared to the tw...

Using conditional inference forests to identify the factors affecting crash severity on arterial corridors.

INTRODUCTION The study aims at identifying traffic/highway design/driver-vehicle information significantly related with fatal/severe crashes on urban arterials for different crash types. Since the data used in this study are observational (i.e., collected outside the purview of a designed experiment), an information discovery approach is adopted for this study. METHOD Random Forests, which ar...

Factors Affecting Vehicle Occupancy Measurement

Factors affecting vehicle occupancy measurement were examined with the aim of improving state vehicle occupancy monitoring programs. A comparison was conducted of five data sets looking at the effects on average vehicle occupancy (AVO) of time of day, day of week, road types, HOV lanes, locational differences, and traffic volume. It was found that AVO was higher in the afternoons, on Saturdays,...