Extrapolation of traffic data for development of traffic load models

2012 ◽  
pp. 1503-1509
Author(s):  
X Zhou ◽  
F Schmidt ◽  
B Jacob
Keyword(s):  
Traffic Load ◽  
Traffic Data ◽  
Load Models

Extreme value modeling of coincident lane load effects for multi-lane factors of bridges using peaks-over-threshold method

2020 ◽  
pp. 136943322096027
Author(s):  
Junyong Zhou ◽  
Cuimin Hu ◽  
Zhixing Chen ◽  
Xiaoming Wang ◽  
Tao Wang
Keyword(s):  
Extreme Value ◽  
Traffic Load ◽  
Traffic Data ◽  
Peaks Over Threshold ◽  
Experimental Site ◽  
Short Term ◽  
Load Models ◽  
Traffic Loads ◽  
Load Effects ◽  
Value Modeling

Multi-lane factor (MLF) is a probability reduction reflecting unfavorable traffic loads over multiple lanes acting simultaneously on the most adverse position of a bridge. It is one of the key components of traffic load models for bridges. The most recent research established a multi-coefficient MLF model that clearly illustrated the lane load disparity and the probability reduction of their simultaneous actions. However, it used the block maxima (BM) method for extreme value modeling, which requires a large amount of traffic data. This study aims to adopt the peaks-over-threshold (POT) method to obtain more information from short-term traffic data and model the extreme coincident lane load effects (LLEs) for multi-coefficient MLF calibration. First, the multi-coefficient MLF model was reviewed. Thereafter, the bivariate POT method for coincident LLEs modeling using generalized Pareto distribution was proposed and formulated. Critical issues such as bivariate threshold selection and parameter estimation were addressed. Numerical examples were demonstrated to verify and validate the approach. Finally, the proposed approach was applied for calibrating the MLF of an experimental site with four traffic lanes. The results indicated that the coincident LLEs modeling using the POT approach was accurate and more effective than using the BM method when applied to limited data. The calibrated MLFs from the experimental site effectively revealed the lane load disparity of traffic loads over multiple lanes, which is not involved in the traffic load models of current bridge design specifications. Furthermore, the influence of other problems such as weight restriction on coincident LLEs modeling and MLF calibration were discussed. The proposed technique provides a sound approach for multi-coefficient MLF calibration of bridge assessment with short-term site-specific traffic data.

Lastannahmen im Brückenbau – Vergleich von Verkehrslasten für Eisenbahnbrücken aus Lastmodellen und Messdaten/Actions on bridges – A comparison of traffic loads for railway bridges from traffic load models and measured data

Bauingenieur ◽  
2016 ◽  
Vol 91 (10) ◽  
pp. 410-416
Author(s):  
Gerhard Lener ◽  
Johannes Schmid
Keyword(s):  
Measured Data ◽  
Traffic Load ◽  
Railway Bridges ◽  
Load Models ◽  
Traffic Loads

Sowohl bei der ursprünglichen Dimensionierung als auch bei allfälligen Sanierungsvorhaben bedingen die Einwirkungen aus Verkehrslasten die Bauteilabmessungen maßgeblich. In vielen Fällen sind ältere Tragwerke nach heutigen Bemessungsrichtlinien deutlich unterdimensioniert, wodurch im Falle von Erweiterungsmaßnahmen zusätzliche Verstärkungsmaßnahmen im Bestand anfallen. Des Weiteren ist die Beurteilung der Restlebensdauer solcher Tragwerke in der Praxis schwierig, da in der Regel keine Informationen hinsichtlich der realen Einwirkungen aus Verkehrslasten vorhanden sind. Durch diesen unbefriedigenden Zustand motiviert, erfolgt in diesem Beitrag eine nähere Untersuchung realer, messtechnisch erfasster Einwirkungen auf Eisenbahnbrücken. Diese bilden die Basis für Vergleiche der Auswirkungen realer Messdaten und normativen Lastmodellen, die rechnerisch an unterschiedlichen Tragsystemen gezeigt werden. Dabei sind die im Vergleich zu den genormten Belastungen doch maßgeblich geringeren Einwirkungen deutlich erkennbar und liefern damit möglicherweise die Antwort auf die Frage, warum einzelne Eisenbahnbrücken nach wie vor funktionieren, obwohl deren rechnerische Lebensdauer bereits erreicht ist. Des Weiteren zeigt sich das daraus resultierende Optimierungspotenzial bei der Aktivierung von Realtragreserven beziehungsweise der deutlich höherer anzusetzender Lebenserwartung bestehender Tragwerke.

scholarly journals Selecting Locations of Electric Vehicle Charging Stations Based on the Traffic Load Eliminating Method

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1650 ◽  
Author(s):  
Bong-Gi Choi ◽  
Byeong-Chan Oh ◽  
Sungyun Choi ◽  
Sung-Yul Kim
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Traffic Load ◽  
Queueing Model ◽  
Traffic Data ◽  
Electric Vehicle Charging ◽  
Supply Equipment ◽  
Charging Stations ◽  
Ev Charging ◽  
Charging Demand

Establishing electric vehicle supply equipment (EVSE) to keep up with the increasing number of electric vehicles (EVs) is the most realistic and direct means of promoting their spread. Using traffic data collected in one area; we estimated the EV charging demand and selected priority fast chargers; ranging from high to low charging demand. A queueing model was used to calculate the number of fast chargers required in the study area. Comparison of the existing distribution of fast chargers with that suggested by the traffic load eliminating method demonstrated the validity of our traffic-based location approach.

scholarly journals Evaluation of the extreme traffic load effects on the Forth Road Bridge using image analysis of traffic data

2019 ◽  
Vol 137 ◽  
pp. 102711 ◽  
Author(s):  
E. Alexandra Micu ◽  
Abdollah Malekjafarian ◽  
Eugene J. OBrien ◽  
Michael Quilligan ◽  
Ross McKinstray ◽  
...  
Keyword(s):  
Image Analysis ◽  
Traffic Load ◽  
Traffic Data ◽  
Load Effects

scholarly journals ANALISIS KEBUTUHAN BANDWIDTH DENGAN MODEL SHARING SYSTEM PADA MIKROTIK ROUTERBOARD 450G DI JARINGAN OFFICE STTA

Compiler ◽  
2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Mardiana Irawaty ◽  
Ferry Mulyawan ◽  
Yenni Astuti
Keyword(s):  
Transmission Control Protocol ◽  
Measured Data ◽  
Traffic Load ◽  
System Model ◽  
The Internet ◽  
Traffic Data ◽  
Data Traffic ◽  
Transmission Control ◽  
Data Graph ◽  
Internet Network

The limitations between the amount of bandwidth and users can make the internet slow. Observing the flow of data on the internet network is one way to identify the  bandwidth requirements which used on the STTA office network. This thesis analyzes the data traffic with sharing system model. The observed data is in the category of elastic flow rate, i.e: TCP (Transmission Control Protocol). The traffic data is converted to a measured data graph and then  analyzed  by  traffic  load,  throughput,  and  flow  of  loss  parameters.  The  highest observation value of traffic load is 0.37, Throughput of 9.3 Mbps (93%), and the flow of loss of 23%. From the results of the research, it can be concluded that in general internet network at STTA office is in good category.

Modified traffic load models for reassessment of short-span highway bridges

2017 ◽  
Vol 109 (4) ◽  
pp. 3385-3393
Author(s):  
Marcel Nowak ◽  
Oliver Fischer
Keyword(s):  
Highway Bridges ◽  
Traffic Load ◽  
Load Models ◽  
Short Span
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