Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Shaw-Pin Miaou"'
Publikováno v:
Journal of Transportation Engineering. Apr2005, Vol. 131 Issue 4, p261-269. 9p. 7 Charts, 6 Graphs.
Autor:
Shaw-Pin Miaou
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2377:38-48
Crash-prediction models in the current edition of the Highway Safety Manual (HSM) have been developed to predict crash frequency by collision type and severity level for specific types of roadways and sites. Each model is made up of three major compo
Autor:
Joon Jin Song, Shaw-Pin Miaou
Publikováno v:
Accident Analysis & Prevention. 37:699-720
In recent years, there has been a renewed interest in applying statistical ranking criteria to identify sites on a road network, which potentially present high traffic crash risks or are over-represented in certain type of crashes, for further engine
Publikováno v:
Journal of Transportation Engineering. 131:261-269
The transportation profession is seeking to better understand the features that influence roadway speeds. Engineers need an appreciation of which roadway design features, or the values for the features, clearly relate to the speed performance on a fa
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 1904:2-19
Guidelines for the installation of median barriers presented in the AASHTO Roadside Design Guide have remained essentially unchanged for more than 30 years. In recent years, the need for improved guidance has prompted several states to reevaluate the
Publikováno v:
Computer-Aided Civil and Infrastructure Engineering. 14:281-298
The success of Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS) depends on the availability and dissemination of timely and accurate estimates of prevailing and emerging traffic conditions, as well as the pr
Autor:
Shaw-Pin Miaou, Chang-Jen Lan
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 1678:168-178
In previous real-time flow prediction studies, the emphasis was placed on the prediction accuracy of the model. The accuracy of the prediction bounds (or limits), on the other hand, was largely ignored. Prediction bounds are, however, important input
Autor:
Shaw-Pin Miaou
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 1599:64-71
The existing data to support the development of roadside encroachment-based accident-prediction models are limited and largely outdated. Under FHWA and TRB sponsorship, several roadside safety projects have attempted to address this issue by proposin