Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model
Introduction: Reducing the severity of crashes is a top priority for safety researchers due to
its impact on saving human lives. Because of safety concerns posed by large trucks and the …
its impact on saving human lives. Because of safety concerns posed by large trucks and the …
Eliminating the impacts of traffic volume variation on before and after studies: a causal inference approach
A before and after study framework measures the outcomes in a group of participants before
introducing an intervention, and then again afterward. In this study, a before and after study …
introducing an intervention, and then again afterward. In this study, a before and after study …
Effects of traffic control devices on rural curve lateral position
This study investigated, by means of a dynamic driving simulator experiment, road users'
behavior inside the curves of rural two-lane highways related to different advance warning …
behavior inside the curves of rural two-lane highways related to different advance warning …
A Causal Inference Approach to Eliminate the Impacts of Interfering Factors on Traffic Performance Evaluation
Before and after study frameworks are widely adopted to evaluate the effectiveness of
transportation policies and emerging technologies. However, many factors such as seasonal …
transportation policies and emerging technologies. However, many factors such as seasonal …
Driver response to a dynamic speed feedback sign at a freeway exit ramp considering the sign design and installation characteristics
Research was conducted at a freeway exit ramp with significant horizontal curvature to
evaluate the effectiveness of dynamic speed feedback signs (DSFSs) as a speed reduction …
evaluate the effectiveness of dynamic speed feedback signs (DSFSs) as a speed reduction …
Understanding Drivers' Compliance Behavior: Data-Driven Assessment of Longer Yellow Intervals
Red-light running (RLR) behavior poses significant risks at signalized intersections and has
emerged as a leading cause of intersection-related crashes. The Phoenix metropolitan area …
emerged as a leading cause of intersection-related crashes. The Phoenix metropolitan area …
A study of motorcycle riders related to speeding behavior in Thailand's Industrial zones
Despite the considerable efforts to address traffic crashes, overspeeding in industrial zones
remains a primary cause in Thailand. In order to effectively against this challenge …
remains a primary cause in Thailand. In order to effectively against this challenge …
[HTML][HTML] “Why were you speeding?”: A self-confrontation study on awareness and reasons for speed behaviour
Despite extensive prevention, speeding remains a major contributor to traffic casualties.
Understanding drivers' perceived awareness and the subjective reasons for their speed …
Understanding drivers' perceived awareness and the subjective reasons for their speed …
Maintaining effective logistics management during and after COVID‑19 pandemic: survey on the importance of artificial intelligence to enhance recovery strategies
The outbreak of coronavirus (COVID-19) has forced governments around the world to limit
the movement of people and prohibit cross-countries travel or activities. However, the …
the movement of people and prohibit cross-countries travel or activities. However, the …
Assessing the effectiveness of autism spectrum disorder roadway warning signs: a case study in New Jersey
Abstract In 2018, the Centers for Disease Control and Prevention (CDC) found that the
prevalence rate for children identified with autism spectrum disorder (ASD) in New Jersey is …
prevalence rate for children identified with autism spectrum disorder (ASD) in New Jersey is …