Lane changing of traffic flow is a complicated and significsant behavior for traffic safety on the road. Frequent lane changing can cause serious traffic safety issues, particularly on a two-lane road section of a freeway. This study aimed to analyze the effect of significant traffic parameters for traffic safety on lane change frequency using the studied calibrated values for driving logic “conscious” in VISSIM. Video-recorded traffic data were utilized to calibrate the model under specified traffic conditions, and the relationship between observed variables were estimated using simulation plots. The results revealed that changes in average desired speed and traffic volume had a positive relationship with lane change frequency. In addition, lane change frequency was observed to be higher when the speed distribution was set large. 3D surface plots were also developed to show the integrated effect of specified traffic parameters on lane change frequency. Results showed that high average desired speed and large desired speed distribution coupled with high traffic volume increased the lane change frequency tremendously. The study also attempted to develop a regression model to quantify the effect of the observed parameters on lane change frequency. The regression model results showed that desired speed distribution had the highest effect on lane change frequency compared to other traffic parameters. The findings of the current study highlight the most significant traffic parameters that influence the lane change frequency.
The increasing use of bicycles rises the interest in investigating the safety aspects of daily commuting. In this investigation, more than 14,000 cyclists’ injuries were analyzed to determine the relationship between severity, road infrastructure characteristics, and surface conditions using binary regression. Minor and major severity categories were distinguished. A binary equation consists of 28 factors is extracted. It has been found that each factor related to roadway characteristics has its negative and positive impacts on cyclist severity such as traffic control, location type, topography, and roadway divisions. Regarding the road surface components, good, paved, and marked roads are associated with a higher probability of major injuries due to the expected greater frequencies of cyclists on roads with good conditions. In conclusion, probabilities of major injuries are higher in urban areas, higher speed limits, signalized intersections, inclined topographies, one-way roads, and during the daytime which require more attention and better considerations.
Young Driver behaviour plays a key role in road safety as it is important in traffic accident prevention. This study designed to develop an initial set of measures to observe young driver behaviour related to road traffic safety issues in different countries. Driver Behaviour Questionnaire (DBQ) was designed to elicit useful information related to road safety from university students having driving licence. The main consideration taken on drivers attitudes towards traffic safety issues were failing to comply with a traffic light signal, failing to wear the seat belt, disregard the speed limits, failing to use personal intelligent driver assistant, failing to yield pedestrian, driving too close, frequently changing lanes, risk due to encroachments, failing to apply brakes, problems of mixed traffic and sounds horn in annoyance. Several differences in driving attitudes between Pakistan and Hungary drivers were identified. The utilization of observed measures provided richer information about deviant young driver behaviour. The analysis of the young drivers' perception on traffic safety issues quantify significant factors associated with them. From comparative studies of questionnaire data, it was noticed that Budapest drivers appear more disciplined than Islamabad drivers. But still there are some important young driver attitudes in both countries which need improvements for safe movements on the road.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.