A paper titled “Trip characteristics impact on the frequency of harsh events recorded via smartphone sensors” authored by Armira Kontaxi, Apostolos Ziakopoulos and George Yannis is published online in IATSS Research. Generalized Linear Mixed-Effects Models were fitted to the trips of car drivers who made frequent trips for two experiment phases in order to model the frequencies of harsh events. Results indicate that maximum speed, the percentage of speeding duration and total trip duration are positively correlated with both harsh acceleration and harsh braking frequencies. On the other hand, the exposure metric of total trip distance was found to be negatively correlated with both harsh event types. A small positive correlation of the percentage of mobile use duration with harsh accelerations was also detected.
Archives
Tag cloud
accident severity
alcohol
buses
campaigns
cell phone
cerebral diseases
children
culture
cyclists
data analysis
distraction
driving simulator
education & training
enforcement
equipment
esafety
fatigue
helmet
impact assessment
international comparisons
junctions
lighting
lorries
measures assessment
mobility and transport
mopeds
motorcyclists
motorways
naturalistic driving
older drivers
pedestrians
road fatalities
road interventions
road safety data
rural roads
safety assessment
safety equipment
seat belt
speed
strategy
traffic
urban safety
weather
work related safety
young drivers