Results 91 to 100 of about 114,252,169 (186)

Fatigue Reliability Assessment of Bridges Under Heavy Traffic Loading Scenario

Infrastructures
Uncertainties in traffic flows pose significant challenges for the accurate fatigue safety assessment of bridge structures. Fatigue analysis requires detailed information on heavy vehicle-induced loads, which can be obtained from weigh-in-motion (WIM ...
Mingyang Zhang, Xuejing Wang, Yaohan Li
doaj   +1 more source

Weigh-in-Motion Site for Type Approval of Vehicle Mass Enforcement Systems in Poland. [PDF]

Sensors (Basel), 2023
Gajda J, Sroka R, Burnos P, Daniol M.
europepmc   +1 more source

Statistical analyses of weigh-in-motion data for bridge live load development [PDF]

, 2011
This paper discusses the statistical analyses used to derive bridge live loads models for Hong Kong from a 10-year weigh-in-motion (WIM) data. The statistical concepts required and the terminologies adopted in the development of bridge live load models ...
Miao, T.J., Chan, T.H.T.
core  

Evaluation of weigh-in-motion in Manitoba

, 1999
The primary objective of a weigh-in-motion (WIM) system is to provide highway designers and agencies with information on the loads and traffic volumes using a particular highway, thereby facilitating improved pavement design, management, and weight ...
Xun Zhi, Dan Middleton, Ahmed Shalaby, Alan Clayton   +3 more
core   +1 more source

Generation of traffic input for flexible pavement design. [PDF]

Heliyon, 2023
Richard F, Mpele M.
europepmc   +1 more source

WAVE - A European Research Project on Weigh-in-Motion [PDF]

, 2012
National Traffic Data Acquisition Conference (NATDAQ '96), Albuquerque, New Mexico, 1996WAVE (Weigh-in-motion of Axles and Vehicles for Europe) is a research project, part-funded by the European Commission, with the objective of improving the accuracy ...
Jacob, Bernard, O'Brien, Eugene J.
core   +1 more source

High-Precision Data Fusion for Multisensor Weigh-in-Motion Using an Adaptive Backpropagation Neural Network

Journal of Engineering
To achieve higher data fusion accuracy of backpropagation neural networks (BPNN) in multisensor weigh-in-motion (MS-WIM), this study proposes a novel algorithm termed adaptive adjustment of bias for backpropagation neural networks (AAB-BPNN).
Xiaofeng Liu, Hui Wang, Xuejun Wang, Yujie Yuan   +3 more
doaj   +1 more source

Optimizing network locations of weigh-in-motion stations: A multi-objective approach for enhancing infrastructure management

Transportation Research Interdisciplinary Perspectives
In the realm of transportation infrastructure, Weigh-in-Motion (WIM) stations are crucial for monitoring impact of overweight trucks and maintaining infrastructure assets such as roadway pavements and bridges.
Chan Yang, Tu Lan, Patrick Lou, Hani Nassif, Kaan Ozbay, Chaekuk Na   +5 more
doaj   +1 more source

I-65 Seymour Weigh Station - Indiana\u27s First Mainline Weigh-in-Motion [PDF]

, 2017
In 2014 INDOT selected CDM Smith to design the replacement of an abandoned truck weigh station on I-65 in Seymour. Due to site physical constraints, prescreening of trucks with weigh-in-motion (WIM) must take place on the mainline as opposed to a ...
Powell, Jim, Shattuck, Brian
core   +1 more source

State's Successful Practices Weigh-in-Motion Handbook, December 1997 [PDF]

, 1997
The purpose of the State's Successful Practices Weigh-in- Motion Handbook is to provide practical advice for users of weigh-in-motion (WIM) technology, systems, sites, and states' "Successful Practices" using WIM systems.

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