Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Alejandra Medina-Flintsch"'
Autor:
Olugbemi Mosunmola Aroke, Ikechukwu Sylvester Onuchukwu, Behzad Esmaeili, Alejandra Medina Flintsch
Publikováno v:
Future Transportation, Vol 2, Iss 2, Pp 425-452 (2022)
To support worker and driver safety, this study conducted a comprehensive literature review to identify methods of enhancing TMA visibility, improving work zone configurations, and ensuring worker safety. To increase TMA recognition, this study obser
Externí odkaz:
https://doaj.org/article/88fe13e1216f4e0493826dbb01d051cb
Autor:
James Bryce, Alejandra Medina-Flintsch, Gerardo W. Flintsch, Richard J. Hanowski, Jeffrey S. Hickman, Matthew C. Camden
Publikováno v:
Accident Analysis & Prevention. 126:47-53
Similar to commercial motor vehicle drivers, winter maintenance operators are likely to be at an increased risk of becoming fatigued while driving due to long, inconsistent shifts, environmental stressors, and limited opportunities for sleep. Despite
Autor:
Feng Guo, Alejandra Medina-Flintsch, Richard J. Hanowski, Jeffrey S. Hickman, Matthew C. Camden, Quon Kwan
Publikováno v:
Journal of Safety Research. 62:73-80
Introduction: This paper presents the cost benefits of two different onboard safety systems (OSS) installed on trucks as they operated during normal revenue deliveries. Using a formal economic analysis approach, the study quantified the costs and ben
Autor:
Ross McCarthy, Alejandra Medina-Flintsch, Kevin K McGhee, Samer W. Katicha, Gerardo W Flintsch
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2591:23-32
Evaluation of crash count data as a function of roadway characteristics allows departments of transportation (DOTs) to predict expected average crash risks to assist in identifying segments that could benefit from various treatments. Crash risk is mo
Autor:
Jeffrey S. Hickman, Alejandra Medina-Flintsch, Matthew C. Camden, Richard J. Hanowski, Brian C Tefft
Publikováno v:
Accident; analysis and prevention. 121
Although research has found advanced safety technologies to be effective at preventing large truck crashes, limited empirical data exists regarding their cost effectiveness to the U.S. society. Without these data, carriers are hesitant to adopt costl
Publikováno v:
Transportation Research Part C: Emerging Technologies. 32:207-223
This paper proposes a rule-based neural network model to simulate driver behavior in terms of longitudinal and lateral actions in two driving situations, namely car-following situation and safety critical events. A fuzzy rule based neural network is
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2384:65-73
This paper includes a review of the current methodologies used in the design of sag vertical curves, a review of the changes in headlamp technologies, the results of a survey of practitioners and two visibility experiments, and conclusions. The revie
Autor:
Stephen M Valeri, Gerardo W. Flintsch, Alejandra Medina-Flintsch, Samer W. Katicha, Edgar de León Izeppi
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2304:158-165
New vehicle technology is leading to efficient methods for assessing the condition of the National Highway System. The use of simple sensors such as accelerometers, installed in vehicles, could provide a cost-effective way to assess ride quality for
Autor:
Dhruv Dua, Mazen Arafeh, Hesham A. Rakha, Abdel-Salam G. Abdel-Salam, Alejandra Medina Flintsch, Montasir M Abbas
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2075:42-52
Adequate spacing and design of access to crossroads in the vicinity of freeway ramps are critical in the safety and traffic operations of the freeway, crossroad, and properties near interchanges. Research attempted to develop a methodology to evaluat
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 1925:76-86
The study evaluates lane management strategies along one of the most highly traveled sections of Interstate 81 in the state of Virginia by using the INTEGRATION traffic simulation software. The lane management strategies considered include the separa