Traffic data collection
|
|
- Amelia Brown
- 6 years ago
- Views:
Transcription
1 Chapter 32 Traffic data coection 32.1 Overview Unike many other discipines of the engineering, the situations that are interesting to a traffic engineer cannot be reproduced in a aboratory. Even if road and vehices coud be set up in arge aboratories, it is impossibe to simuate the behavior of drivers in the aboratory. Therefore, traffic stream characteristics need to be coected ony from the fied. There are severa methods of data coection depending on the need of the study and some important ones are described in this chapter Data reuirements The most important traffic characteristics to be coected from the fied incudes sped, trave time, fow and density. Some cases, spacing and headway are directy measured. In addition, the occupancy, ie percentage of time a point on the road is occupied by vehices is aso of interest. The measurement procedures can be cassified based on the geographica extent of the survey into five categories: (a) measurement at point on the road, (b) measurement over a short section of the road (ess than 500 metres) (c) measurement over a ength of the road (more than about 500 metres) (d) wide area sampes obtained from number of ocations, and (e) the use of an observer moving in the traffic stream. In each category, numerous data coection are there. However, important and basic methods wi be discussed Measurements at a point The most important point measurement is the vehice voume count. Data can be coected manuay or automaticay. In manua method, the observer wi stand at the point of interest and count the vehices with the hep of hand taies. Normay, data wi be coected for short interva of 5 minutes or 15 minutes etc. and for each types of vehices ike cars, two wheeers, three wheeers, LCV, HCV, muti axe trucks, nonmotorised traffic ike buock cart, hand cart etc. From the fow data, fow and headway can be derived. Modern methods incude the use of inductive oop detector, video camera, and many other technoogies. These methods heps to coect accurate information for ong duration. In video cameras, data is coected from the fied and is then anayzed in the ab for obtaining resuts. Radars and microwave detectors are used to obtain the speed of a vehice at a point. Since no ength is invoved, density cannot be obtained by measuring at a point. Introduction to Transportation Engineering 32.1 Tom V. Mathew and K V Krishna Rao
2 observer x enoscope Base ength Figure 32:1: Iustration of measurement over short section using enoscope Measurements over short section The main objective of this study is to find the spot speed of vehices. Manua methods incude the use of enoscope. In this method a base ength of about metres is marked on the road. Enoscope is paced at one end and observer wi stand at the other end. He coud see the vehice passing the farther end through enoscope and starts the stop watch. Then he stops the stop watch when the vehice passes in front of him. The working of the enoscope is shown in figure 32:1. An aternative method is to use pressure contact tube which gives a pressure signa when vehice moves at either end. Another mosidey used method is inductive oop detector which works on the principe of magnetic inductance. Road wi be cut and a sma magnetic oop is paced. When the metaic content in the vehice passes over it, a signa wi be generated and the count of the vehice can be found automaticay. The advantage of this detector is that the counts can be obtained throughout the ife time of the road. However, chances of errors are possibe because noise signas may be generated due to heavy vehice passing adjacent anes. When dua oops are used and if the spacing between them is known then speed aso can be cacuated in addition to the vehice cost Measurements over ong section This is normay used to obtain variations in speed over a stretch of road. Usuay the stretch wi be having a ength more than 500 metres. We can aso get density. Most traditiona method uses aeria photography. From a singe frame, density can be measured, but not speed or voumes. In time apse photography, severa frames are avaiabe. If severa frames are obtained over short time intervas, speeds can be measured from the distance covered between the two frames and time interva between them Moving observer method for stream measurement Determination of any of the two parameters of the traffic fow wi provide the third one by the euation = u.k. Moving observer method is the most commony used method to get the reationship between the fundamenta stream characteristics. In this method, the observer moves in the traffic stream unike a other previous methods. Consider a stream of vehices moving in the north bound direction. Two different cases of motion can be considered. The first case considers the traffic stream to be moving and the observer to be stationary. If n o is Introduction to Transportation Engineering 32.2 Tom V. Mathew and K V Krishna Rao
3 Figure 32:2: Iustration of moving observer method the number of vehices overtaking the observer during a period, t, then fow is n0 t, or n 0 = t (32.1) The second case assumes that the stream is stationary and the observer moves with speed v o. If n p is the number of vehices overtaken by observer over a ength, then by definition, density k is np, or or n p = k (32.2) n p = k.v o.t (32.3) where v 0 is the speed of the observer and t is the time taken for the observer to cover the road stretch. Now consider the case when the observer is moving within the stream. In that case m o vehices wi overtake the observer and m p vehices wi be overtaken by the observer in the test vehice. Let the difference m is given by m 0 - m p, then from euation 32.5 and euation 32.7, m =.t k.v o.t (32.4) This euation is the basic euation of moving observer method, which reates, k to the counts m, t and v o that can be obtained from the test. However, we have two unknowns, and k, but ony one euation. For generating another euation, the test vehice is run twice once with the traffic stream and another one against traffic stream, i.e. m w =. + k.v w Introduction to Transportation Engineering 32.3 Tom V. Mathew and K V Krishna Rao
4 =. + k. m a = t a k.v a.t a =.t a k. where, a, w denotes against and with traffic fow. It may be noted that the sign of euation 32.5 is negative, because test vehice moving in the opposite direction can be considered as a case when the test vehice is moving in the stream with negative veocity. Further, in this case, a the vehices wi be overtaking, since it is moving with negative speed. In other words, when the test vehice moves in the opposite direction, the observer simpy counts the number of vehices in the opposite direction. Adding euation 32.5 and 32.5, we wi get the first parameter of the stream, namey the fow() as: Now cacuating space mean speed from euation 32.5, = m w + m a + t a (32.5) m w = k.v w.t = v v w [ ] = v = (1 v 1 ) = (1 t avg ) If v s is the mean stream speed, then average trave time is given by t avg = v s. Therefore, m w = (1 t avg ) = t avg t avg = m w = v, Rewriting the above euation, we get the second parameter of the traffic fow, namey the mean speed v s and can be written as, v s = (32.6) mw Thus two parameters of the stream can be determined. Knowing the two parameters the third parameter of traffic fow density (k) can be found out as k = (32.7) v s For increase accuracy and reiabiity, the test is performed a number of times and the average resuts are to be taken. Exampe 1 The ength of a road stretch used for conducting the moving observer test is 0.5 km and the speed with which the test vehice moved is 20 km/hr. Given that the number of vehices encountered in the stream whie the test Introduction to Transportation Engineering 32.4 Tom V. Mathew and K V Krishna Rao
5 Sampe no. m a m o m p m(m o m p ) t a = ma+mw t a+ u = k = ma v vehice was moving against the traffic stream is 107, number of vehices that had overtaken the test vehice is 10, and the number of vehices overtaken by the test vehice is 74, find the fow, density and average speed of the stream. Soution Time taken by the test vehice to reach the other end of the stream whie it is moving aong with the traffic is = = hr Time taken by the observer to reach the other end of the stream whie it is moving against the traffic is t a = = hr Fow is given by euation, = 107+(10 74) = 860 veh/hr Stream 0.5 speed v s can be found out from euationv s = = 5 km/hr Density can be found out from euation as k = = 172veh/km Exampe 2 The data from four moving observer test methods are shown in the tabe. Coumn 1 gives the sampe number, coumn 2 gives the number of vehices moving against the stream, coumn 3 gives the number of vehices that had overtaken the test vehice, and ast coumn gives the number of vehices overtaken by the test vehice. Find the three fundamenta stream parameters for each set of data. Aso pot the fundamenta diagrams of traffic fow. Sampe no Soution From the cacuated vaues of fow, density and speed, the three fundamenta diagrams can be potted as shown in figure 32: Summary Traffic engineering studies differ from other studies in the fact that they reuire extensive data from the fied which cannot be exacty created in any aboratory. Speed data are coected from measurements at a point or over a short section or over an area. Traffic fow data are coected at a point. Moving observer method is one in which both speed and traffic fow data are obtained by a singe experiment. Introduction to Transportation Engineering 32.5 Tom V. Mathew and K V Krishna Rao
6 speed u density k speed u fow fow density k Figure 32:3: Fundamenta diagrams of traffic fow 32.4 Probems 1. In the moving observer experiment, if the density is k, speed of the observer is v o, ength of the test stretch is, t is the time taken by the observer to cover the road stretch, the number of vehices overtaken by the observer n p is given by, (a) n p = k.t (b) n p = k. (c) n p = k v o.t (d) n p = k.v o.t 2. If the ength of the road stretch taken for conducting moving observer experiment is 0.4 km, time taken by the observer to move with the traffic is 5 seconds, number of vehices moving with the test vehice in the same direction is 10, fow is 10 veh/sec, find the mean speed. (a) 50 m/s (b) 100 m/s (c) 150 m/s (d) 200 m/s 32.5 Soutions 1. In the moving observer experiment, if the density is k, speed of the observer is v o, ength of the test stretch is, t is the time taken by the observer to cover the road stretch, the number of vehices overtaken by the observer n p is given by, (a) n p = k.t Introduction to Transportation Engineering 32.6 Tom V. Mathew and K V Krishna Rao
7 (b) n p = k. k v o.t (c) n p = (d) n p = k.v o.t 2. If the ength of the road stretch taken for conducting moving observer experiment is 0.4 km, time taken by the observer to move with the traffic is 5 seconds, number of vehices moving with the test vehice in the same direction is 10, fow is 10 veh/sec, find the mean speed. (a) 50 m/s (b) 100 m/s (c) 150 m/s (d) 200 m/s Soution: Given that =0.4 km, =5seconds, m w =10,=10 veh/sec, substituting in euation,v s = =100m/s. mw Introduction to Transportation Engineering 32.7 Tom V. Mathew and K V Krishna Rao
Chapter 4. Moving Observer Method. 4.1 Overview. 4.2 Theory
Chapter 4 Moving Observer Method 4.1 Overview For a compete description of traffic stream modeing, one woud reuire fow, speed, and density. Obtaining these parameters simutaneousy is a difficut task if
More information(Refer Slide Time: 2:34) L C V
Microwave Integrated Circuits Professor Jayanta Mukherjee Department of Eectrica Engineering Indian Intitute of Technoogy Bombay Modue 1 Lecture No 2 Refection Coefficient, SWR, Smith Chart. Heo wecome
More informationRelated Topics Maxwell s equations, electrical eddy field, magnetic field of coils, coil, magnetic flux, induced voltage
Magnetic induction TEP Reated Topics Maxwe s equations, eectrica eddy fied, magnetic fied of cois, coi, magnetic fux, induced votage Principe A magnetic fied of variabe frequency and varying strength is
More information2.1 Traffic Stream Characteristics. Time Space Diagram and Measurement Procedures Variables of Interest
2.1 Traffic Stream Characteristics Time Space Diagram and Measurement Procedures Variables of Interest Traffic Stream Models 2.1 Traffic Stream Characteristics Time Space Diagram Speed =100km/h = 27.78
More informationProblem Set 6: Solutions
University of Aabama Department of Physics and Astronomy PH 102 / LeCair Summer II 2010 Probem Set 6: Soutions 1. A conducting rectanguar oop of mass M, resistance R, and dimensions w by fas from rest
More informationPhysics 235 Chapter 8. Chapter 8 Central-Force Motion
Physics 35 Chapter 8 Chapter 8 Centra-Force Motion In this Chapter we wi use the theory we have discussed in Chapter 6 and 7 and appy it to very important probems in physics, in which we study the motion
More informationGauss Law. 2. Gauss s Law: connects charge and field 3. Applications of Gauss s Law
Gauss Law 1. Review on 1) Couomb s Law (charge and force) 2) Eectric Fied (fied and force) 2. Gauss s Law: connects charge and fied 3. Appications of Gauss s Law Couomb s Law and Eectric Fied Couomb s
More informationGeneral Certificate of Education Advanced Level Examination June 2010
Genera Certificate of Education Advanced Leve Examination June 2010 Human Bioogy HBI6T/P10/task Unit 6T A2 Investigative Skis Assignment Task Sheet The effect of temperature on the rate of photosynthesis
More informationFOURIER SERIES ON ANY INTERVAL
FOURIER SERIES ON ANY INTERVAL Overview We have spent considerabe time earning how to compute Fourier series for functions that have a period of 2p on the interva (-p,p). We have aso seen how Fourier series
More informationAcoustic Nondestructive Testing and Measurement of Tension for Steel Reinforcing Members
Acoustic Nondestructive Testing and Measurement of Tension for Stee Reinforcing Members Part 1 Theory by Michae K. McInerney PURPOSE: This Coasta and Hydrauics Engineering Technica Note (CHETN) describes
More informationTracking Control of Multiple Mobile Robots
Proceedings of the 2001 IEEE Internationa Conference on Robotics & Automation Seou, Korea May 21-26, 2001 Tracking Contro of Mutipe Mobie Robots A Case Study of Inter-Robot Coision-Free Probem Jurachart
More informationMARKOV CHAINS AND MARKOV DECISION THEORY. Contents
MARKOV CHAINS AND MARKOV DECISION THEORY ARINDRIMA DATTA Abstract. In this paper, we begin with a forma introduction to probabiity and expain the concept of random variabes and stochastic processes. After
More informationPreamble. Flow and Fluid Velocity. In this section of my lectures we will be. To do this we will use as an analogy
Preambe Resistance Physics, 8 th Edition Custom Edition Cutne & Johnson Chapter 20.3 Pages 602-605 In this section of my ectures we wi be deveoping the concept of resistance. To do this we wi use as an
More informationSome Measures for Asymmetry of Distributions
Some Measures for Asymmetry of Distributions Georgi N. Boshnakov First version: 31 January 2006 Research Report No. 5, 2006, Probabiity and Statistics Group Schoo of Mathematics, The University of Manchester
More informationLECTURE 10. The world of pendula
LECTURE 0 The word of pendua For the next few ectures we are going to ook at the word of the pane penduum (Figure 0.). In a previous probem set we showed that we coud use the Euer- Lagrange method to derive
More informationCombining reaction kinetics to the multi-phase Gibbs energy calculation
7 th European Symposium on Computer Aided Process Engineering ESCAPE7 V. Pesu and P.S. Agachi (Editors) 2007 Esevier B.V. A rights reserved. Combining reaction inetics to the muti-phase Gibbs energy cacuation
More informationEfficiently Generating Random Bits from Finite State Markov Chains
1 Efficienty Generating Random Bits from Finite State Markov Chains Hongchao Zhou and Jehoshua Bruck, Feow, IEEE Abstract The probem of random number generation from an uncorreated random source (of unknown
More informationDemonstration of Ohm s Law Electromotive force (EMF), internal resistance and potential difference Power and Energy Applications of Ohm s Law
Lesson 4 Demonstration of Ohm s Law Eectromotive force (EMF), interna resistance and potentia difference Power and Energy Appications of Ohm s Law esistors in Series and Parae Ces in series and Parae Kirchhoff
More informationA sta6s6cal view of entropy
A sta6s6ca view of entropy 20-4 A Sta&s&ca View of Entropy The entropy of a system can be defined in terms of the possibe distribu&ons of its moecues. For iden&ca moecues, each possibe distribu&on of moecues
More informationA Brief Introduction to Markov Chains and Hidden Markov Models
A Brief Introduction to Markov Chains and Hidden Markov Modes Aen B MacKenzie Notes for December 1, 3, &8, 2015 Discrete-Time Markov Chains You may reca that when we first introduced random processes,
More informationFRST Multivariate Statistics. Multivariate Discriminant Analysis (MDA)
1 FRST 531 -- Mutivariate Statistics Mutivariate Discriminant Anaysis (MDA) Purpose: 1. To predict which group (Y) an observation beongs to based on the characteristics of p predictor (X) variabes, using
More informationSeparation of Variables and a Spherical Shell with Surface Charge
Separation of Variabes and a Spherica She with Surface Charge In cass we worked out the eectrostatic potentia due to a spherica she of radius R with a surface charge density σθ = σ cos θ. This cacuation
More informationPartial permutation decoding for MacDonald codes
Partia permutation decoding for MacDonad codes J.D. Key Department of Mathematics and Appied Mathematics University of the Western Cape 7535 Bevie, South Africa P. Seneviratne Department of Mathematics
More informationA Statistical Framework for Real-time Event Detection in Power Systems
1 A Statistica Framework for Rea-time Event Detection in Power Systems Noan Uhrich, Tim Christman, Phiip Swisher, and Xichen Jiang Abstract A quickest change detection (QCD) agorithm is appied to the probem
More informationResearch of Data Fusion Method of Multi-Sensor Based on Correlation Coefficient of Confidence Distance
Send Orders for Reprints to reprints@benthamscience.ae 340 The Open Cybernetics & Systemics Journa, 015, 9, 340-344 Open Access Research of Data Fusion Method of Muti-Sensor Based on Correation Coefficient
More informationjob: Chris Fawkes, BBC Weather forecaster (meteorologist)
1/10 theme: nature job: Chris Fawkes, BBC Weather forecaster (meteoroogist) activity outine Using the context of a weather forecaster being abe to predict wind speed and direction, pupis use knowedge of
More informationLaboratory Exercise 1: Pendulum Acceleration Measurement and Prediction Laboratory Handout AME 20213: Fundamentals of Measurements and Data Analysis
Laboratory Exercise 1: Penduum Acceeration Measurement and Prediction Laboratory Handout AME 20213: Fundamentas of Measurements and Data Anaysis Prepared by: Danie Van Ness Date exercises to be performed:
More informationChemical Kinetics Part 2
Integrated Rate Laws Chemica Kinetics Part 2 The rate aw we have discussed thus far is the differentia rate aw. Let us consider the very simpe reaction: a A à products The differentia rate reates the rate
More informationA Comparison Study of the Test for Right Censored and Grouped Data
Communications for Statistica Appications and Methods 2015, Vo. 22, No. 4, 313 320 DOI: http://dx.doi.org/10.5351/csam.2015.22.4.313 Print ISSN 2287-7843 / Onine ISSN 2383-4757 A Comparison Study of the
More information8 Digifl'.11 Cth:uits and devices
8 Digif'. Cth:uits and devices 8. Introduction In anaog eectronics, votage is a continuous variabe. This is usefu because most physica quantities we encounter are continuous: sound eves, ight intensity,
More informationRELUCTANCE The resistance of a material to the flow of charge (current) is determined for electric circuits by the equation
INTRODUCTION Magnetism pays an integra part in amost every eectrica device used today in industry, research, or the home. Generators, motors, transformers, circuit breakers, teevisions, computers, tape
More informationInternational Journal of Mass Spectrometry
Internationa Journa of Mass Spectrometry 280 (2009) 179 183 Contents ists avaiabe at ScienceDirect Internationa Journa of Mass Spectrometry journa homepage: www.esevier.com/ocate/ijms Stark mixing by ion-rydberg
More informationBayesian Learning. You hear a which which could equally be Thanks or Tanks, which would you go with?
Bayesian Learning A powerfu and growing approach in machine earning We use it in our own decision making a the time You hear a which which coud equay be Thanks or Tanks, which woud you go with? Combine
More informationAAPT UNITED STATES PHYSICS TEAM AIP 2012 DO NOT DISTRIBUTE THIS PAGE
2012 Semifina Exam 1 AAPT UNITED STATES PHYSICS TEAM AIP 2012 Semifina Exam DO NOT DISTRIBUTE THIS PAGE Important Instructions for the Exam Supervisor This examination consists of two parts. Part A has
More informationMONTE CARLO SIMULATIONS
MONTE CARLO SIMULATIONS Current physics research 1) Theoretica 2) Experimenta 3) Computationa Monte Caro (MC) Method (1953) used to study 1) Discrete spin systems 2) Fuids 3) Poymers, membranes, soft matter
More informationT.C. Banwell, S. Galli. {bct, Telcordia Technologies, Inc., 445 South Street, Morristown, NJ 07960, USA
ON THE SYMMETRY OF THE POWER INE CHANNE T.C. Banwe, S. Gai {bct, sgai}@research.tecordia.com Tecordia Technoogies, Inc., 445 South Street, Morristown, NJ 07960, USA Abstract The indoor power ine network
More informationTraffic Density Estimation with the Cell Transmission Model 1
Traffic Density Estimation ith the Ce Transmission Mode Laura Muñoz, Xiaotian Sun, Roberto Horoitz 2, Luis Avarez 3 Department of Mechanica Engineering University of Caifornia at Berkeey Berkeey, CA 9472-174
More informationBackward Monte Carlo Simulations in Radiative Heat Transfer
Backward Monte Caro Simuations in Radiative Heat Transfer Michae F. Modest Department of Mechanica and Nucear Engineering Penn State University University Park, PA 82 emai: mfm@psu.edu August 29, 2 Abstract
More information1. Measurements and error calculus
EV 1 Measurements and error cacuus 11 Introduction The goa of this aboratory course is to introduce the notions of carrying out an experiment, acquiring and writing up the data, and finay anayzing the
More informationHYDROGEN ATOM SELECTION RULES TRANSITION RATES
DOING PHYSICS WITH MATLAB QUANTUM PHYSICS Ian Cooper Schoo of Physics, University of Sydney ian.cooper@sydney.edu.au HYDROGEN ATOM SELECTION RULES TRANSITION RATES DOWNLOAD DIRECTORY FOR MATLAB SCRIPTS
More informationAn Algorithm for Pruning Redundant Modules in Min-Max Modular Network
An Agorithm for Pruning Redundant Modues in Min-Max Moduar Network Hui-Cheng Lian and Bao-Liang Lu Department of Computer Science and Engineering, Shanghai Jiao Tong University 1954 Hua Shan Rd., Shanghai
More informationPhysics Dynamics: Springs
F A C U L T Y O F E D U C A T I O N Department of Curricuum and Pedagogy Physics Dynamics: Springs Science and Mathematics Education Research Group Supported by UBC Teaching and Learning Enhancement Fund
More information$, (2.1) n="# #. (2.2)
Chapter. Eectrostatic II Notes: Most of the materia presented in this chapter is taken from Jackson, Chap.,, and 4, and Di Bartoo, Chap... Mathematica Considerations.. The Fourier series and the Fourier
More informationLobontiu: System Dynamics for Engineering Students Website Chapter 3 1. z b z
Chapter W3 Mechanica Systems II Introduction This companion website chapter anayzes the foowing topics in connection to the printed-book Chapter 3: Lumped-parameter inertia fractions of basic compiant
More informationChemical Kinetics Part 2. Chapter 16
Chemica Kinetics Part 2 Chapter 16 Integrated Rate Laws The rate aw we have discussed thus far is the differentia rate aw. Let us consider the very simpe reaction: a A à products The differentia rate reates
More informationEfficient Generation of Random Bits from Finite State Markov Chains
Efficient Generation of Random Bits from Finite State Markov Chains Hongchao Zhou and Jehoshua Bruck, Feow, IEEE Abstract The probem of random number generation from an uncorreated random source (of unknown
More informationA MODEL FOR ESTIMATING THE LATERAL OVERLAP PROBABILITY OF AIRCRAFT WITH RNP ALERTING CAPABILITY IN PARALLEL RNAV ROUTES
6 TH INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES A MODEL FOR ESTIMATING THE LATERAL OVERLAP PROBABILITY OF AIRCRAFT WITH RNP ALERTING CAPABILITY IN PARALLEL RNAV ROUTES Sakae NAGAOKA* *Eectronic
More informationForces of Friction. through a viscous medium, there will be a resistance to the motion. and its environment
Forces of Friction When an object is in motion on a surface or through a viscous medium, there wi be a resistance to the motion This is due to the interactions between the object and its environment This
More informationA Robust Voice Activity Detection based on Noise Eigenspace Projection
A Robust Voice Activity Detection based on Noise Eigenspace Projection Dongwen Ying 1, Yu Shi 2, Frank Soong 2, Jianwu Dang 1, and Xugang Lu 1 1 Japan Advanced Institute of Science and Technoogy, Nomi
More informationVI.G Exact free energy of the Square Lattice Ising model
VI.G Exact free energy of the Square Lattice Ising mode As indicated in eq.(vi.35), the Ising partition function is reated to a sum S, over coections of paths on the attice. The aowed graphs for a square
More informationDISTRIBUTION OF TEMPERATURE IN A SPATIALLY ONE- DIMENSIONAL OBJECT AS A RESULT OF THE ACTIVE POINT SOURCE
DISTRIBUTION OF TEMPERATURE IN A SPATIALLY ONE- DIMENSIONAL OBJECT AS A RESULT OF THE ACTIVE POINT SOURCE Yury Iyushin and Anton Mokeev Saint-Petersburg Mining University, Vasiievsky Isand, 1 st ine, Saint-Petersburg,
More informationPaper presented at the Workshop on Space Charge Physics in High Intensity Hadron Rings, sponsored by Brookhaven National Laboratory, May 4-7,1998
Paper presented at the Workshop on Space Charge Physics in High ntensity Hadron Rings, sponsored by Brookhaven Nationa Laboratory, May 4-7,998 Noninear Sef Consistent High Resoution Beam Hao Agorithm in
More informationMULTI-PERIOD MODEL FOR PART FAMILY/MACHINE CELL FORMATION. Objectives included in the multi-period formulation
ationa Institute of Technoogy aicut Department of echanica Engineering ULTI-PERIOD ODEL FOR PART FAILY/AHIE ELL FORATIO Given a set of parts, processing requirements, and avaiabe resources The objective
More informationarxiv: v1 [physics.flu-dyn] 2 Nov 2007
A theoretica anaysis of the resoution due to diffusion and size-dispersion of partices in deterministic atera dispacement devices arxiv:7.347v [physics.fu-dyn] 2 Nov 27 Martin Heer and Henrik Bruus MIC
More informationComputational Investigation of Arc Behavior in an Auto-Expansion Circuit Breaker with Gases of SF 6 and N 2 **
Computationa Investigation of Arc Behavior in an Auto-Expansion Circuit Breaker with Gases of SF 6 and N 2 ** Jining Zhang Abstract An eectric arc behavior in a fu-scae 245 kv autoexpansion circuit breaker
More informationCompression Ratio Expansion for Complementary Code Set Compressing a Signal to a Width of Several Sub-pulses
Compression Ratio Expansion for Compementary Code Set Compressing a Signa to a Width of Severa Sub-puses Reiji Sato 2nd Research Center, Technica R and D Institute Japan Defense Agency 1-2-24 Ikejiri,
More informationIntroduction. Figure 1 W8LC Line Array, box and horn element. Highlighted section modelled.
imuation of the acoustic fied produced by cavities using the Boundary Eement Rayeigh Integra Method () and its appication to a horn oudspeaer. tephen Kirup East Lancashire Institute, Due treet, Bacburn,
More informationChapter 5 Traffic Flow Characteristics
Chapter 5 Traffic Flow Characteristics 1 Contents 2 Introduction The Nature of Traffic Flow Approaches to Understanding Traffic Flow Parameters Connected with Traffic Flow Categories of Traffic Flow The
More informationA polynomial chaos-based kalman filter approach for parameter estimation of mechanical systems
University of Woongong Research Onine Facuty of Engineering - Papers (Archive) Facuty of Engineering and Information Sciences 00 A poynomia chaos-based aman fiter approach for parameter estimation of mechanica
More informationControl Chart For Monitoring Nonparametric Profiles With Arbitrary Design
Contro Chart For Monitoring Nonparametric Profies With Arbitrary Design Peihua Qiu 1 and Changiang Zou 2 1 Schoo of Statistics, University of Minnesota, USA 2 LPMC and Department of Statistics, Nankai
More informationA Simple and Efficient Algorithm of 3-D Single-Source Localization with Uniform Cross Array Bing Xue 1 2 a) * Guangyou Fang 1 2 b and Yicai Ji 1 2 c)
A Simpe Efficient Agorithm of 3-D Singe-Source Locaization with Uniform Cross Array Bing Xue a * Guangyou Fang b Yicai Ji c Key Laboratory of Eectromagnetic Radiation Sensing Technoogy, Institute of Eectronics,
More informationWorst Case Analysis of the Analog Circuits
Proceedings of the 11th WSEAS Internationa Conference on CIRCUITS, Agios Nikoaos, Crete Isand, Greece, Juy 3-5, 7 9 Worst Case Anaysis of the Anaog Circuits ELENA NICULESCU*, DORINA-MIOARA PURCARU* and
More informationPHYS 110B - HW #1 Fall 2005, Solutions by David Pace Equations referenced as Eq. # are from Griffiths Problem statements are paraphrased
PHYS 110B - HW #1 Fa 2005, Soutions by David Pace Equations referenced as Eq. # are from Griffiths Probem statements are paraphrased [1.] Probem 6.8 from Griffiths A ong cyinder has radius R and a magnetization
More informationhole h vs. e configurations: l l for N > 2 l + 1 J = H as example of localization, delocalization, tunneling ikx k
Infinite 1-D Lattice CTDL, pages 1156-1168 37-1 LAST TIME: ( ) ( ) + N + 1 N hoe h vs. e configurations: for N > + 1 e rij unchanged ζ( NLS) ζ( NLS) [ ζn unchanged ] Hund s 3rd Rue (Lowest L - S term of
More informationII. PROBLEM. A. Description. For the space of audio signals
CS229 - Fina Report Speech Recording based Language Recognition (Natura Language) Leopod Cambier - cambier; Matan Leibovich - matane; Cindy Orozco Bohorquez - orozcocc ABSTRACT We construct a rea time
More informationUI FORMULATION FOR CABLE STATE OF EXISTING CABLE-STAYED BRIDGE
UI FORMULATION FOR CABLE STATE OF EXISTING CABLE-STAYED BRIDGE Juan Huang, Ronghui Wang and Tao Tang Coege of Traffic and Communications, South China University of Technoogy, Guangzhou, Guangdong 51641,
More informationCapacity sharing among truck owners: A collaborative approach to overcome overloading
Capacity sharing among truck owners: A coaborative approach to overcome overoading Arindam Debroy 1 Research Schoar debroyarindam1@gmai.com S. P. Sarmah 1 Professor 1 Department of Industria and Systems
More informationC. Fourier Sine Series Overview
12 PHILIP D. LOEWEN C. Fourier Sine Series Overview Let some constant > be given. The symboic form of the FSS Eigenvaue probem combines an ordinary differentia equation (ODE) on the interva (, ) with a
More information12.2. Maxima and Minima. Introduction. Prerequisites. Learning Outcomes
Maima and Minima 1. Introduction In this Section we anayse curves in the oca neighbourhood of a stationary point and, from this anaysis, deduce necessary conditions satisfied by oca maima and oca minima.
More informationInduction and Inductance
Induction and Inductance How we generate E by B, and the passive component inductor in a circuit. 1. A review of emf and the magnetic fux. 2. Faraday s Law of Induction 3. Lentz Law 4. Inductance and inductor
More informationA Novel Learning Method for Elman Neural Network Using Local Search
Neura Information Processing Letters and Reviews Vo. 11, No. 8, August 2007 LETTER A Nove Learning Method for Eman Neura Networ Using Loca Search Facuty of Engineering, Toyama University, Gofuu 3190 Toyama
More informationTarget Location Estimation in Wireless Sensor Networks Using Binary Data
Target Location stimation in Wireess Sensor Networks Using Binary Data Ruixin Niu and Pramod K. Varshney Department of ectrica ngineering and Computer Science Link Ha Syracuse University Syracuse, NY 344
More informationIncorporation of surface tension to interface energy balance in crystal growth
Cryst. Res. Techno. 42, No. 9, 914 919 (2007) / OI 10.1002/crat.200710927 Incorporation of surface tension to interface energy baance in crysta growth M. Yidiz and. ost* Crysta Growth aboratory, epartment
More informationTurbo Codes. Coding and Communication Laboratory. Dept. of Electrical Engineering, National Chung Hsing University
Turbo Codes Coding and Communication Laboratory Dept. of Eectrica Engineering, Nationa Chung Hsing University Turbo codes 1 Chapter 12: Turbo Codes 1. Introduction 2. Turbo code encoder 3. Design of intereaver
More informationTRAVEL TIME ESTIMATION FOR URBAN ROAD NETWORKS USING LOW FREQUENCY PROBE VEHICLE DATA
TRAVEL TIME ESTIMATIO FOR URBA ROAD ETWORKS USIG LOW FREQUECY PROBE VEHICLE DATA Erik Jeneius Corresponding author KTH Roya Institute of Technoogy Department of Transport Science Emai: erik.jeneius@abe.kth.se
More informationDIGITAL FILTER DESIGN OF IIR FILTERS USING REAL VALUED GENETIC ALGORITHM
DIGITAL FILTER DESIGN OF IIR FILTERS USING REAL VALUED GENETIC ALGORITHM MIKAEL NILSSON, MATTIAS DAHL AND INGVAR CLAESSON Bekinge Institute of Technoogy Department of Teecommunications and Signa Processing
More informationPhysicsAndMathsTutor.com
. Two points A and B ie on a smooth horizonta tabe with AB = a. One end of a ight eastic spring, of natura ength a and moduus of easticity mg, is attached to A. The other end of the spring is attached
More informationASummaryofGaussianProcesses Coryn A.L. Bailer-Jones
ASummaryofGaussianProcesses Coryn A.L. Baier-Jones Cavendish Laboratory University of Cambridge caj@mrao.cam.ac.uk Introduction A genera prediction probem can be posed as foows. We consider that the variabe
More informationTransport Cost and Optimal Number of Public Facilities
Transport Cost an Optima Number of Pubic Faciities Kazuo Yamaguchi Grauate Schoo of Economics, University of Tokyo June 14, 2006 Abstract We consier the number an ocation probem of pubic faciities without
More informationSelf Inductance of a Solenoid with a Permanent-Magnet Core
1 Probem Sef Inductance of a Soenoid with a Permanent-Magnet Core Kirk T. McDonad Joseph Henry Laboratories, Princeton University, Princeton, NJ 08544 (March 3, 2013; updated October 19, 2018) Deduce the
More informationA simple reliability block diagram method for safety integrity verification
Reiabiity Engineering and System Safety 92 (2007) 1267 1273 www.esevier.com/ocate/ress A simpe reiabiity bock diagram method for safety integrity verification Haitao Guo, Xianhui Yang epartment of Automation,
More informationPath planning with PH G2 splines in R2
Path panning with PH G2 spines in R2 Laurent Gajny, Richard Béarée, Eric Nyiri, Oivier Gibaru To cite this version: Laurent Gajny, Richard Béarée, Eric Nyiri, Oivier Gibaru. Path panning with PH G2 spines
More information(This is a sample cover image for this issue. The actual cover is not yet available at this time.)
(This is a sampe cover image for this issue The actua cover is not yet avaiabe at this time) This artice appeared in a journa pubished by Esevier The attached copy is furnished to the author for interna
More informationRadar/ESM Tracking of Constant Velocity Target : Comparison of Batch (MLE) and EKF Performance
adar/ racing of Constant Veocity arget : Comparison of Batch (LE) and EKF Performance I. Leibowicz homson-csf Deteis/IISA La cef de Saint-Pierre 1 Bd Jean ouin 7885 Eancourt Cede France Isabee.Leibowicz
More informationTHE ROLE OF ENERGY IMBALANCE MANAGEMENT ON POWER MARKET STABILITY
Proceedings of HICSS-31, Big Isand of Hawaii, January 6-9, 1998, Voume III, pp. 4-8. THE ROLE OF ENERGY IMBALANCE MANAGEMENT ON POWER MARKET STABILITY Fernando L. Avarado Department of Eectrica and C.
More informationMeasurement of Ohmic Resistances, Bridge Circuits and Internal Resistances of Voltage Sources
3 Car von Ossietzky niversity Odenburg Facuty V - Institute of Physics Modue Introductory Laboratory Course Physics Part I Measurement of Ohmic esistances, Bridge Circuits and Interna esistances of Votage
More informationTHE THREE POINT STEINER PROBLEM ON THE FLAT TORUS: THE MINIMAL LUNE CASE
THE THREE POINT STEINER PROBLEM ON THE FLAT TORUS: THE MINIMAL LUNE CASE KATIE L. MAY AND MELISSA A. MITCHELL Abstract. We show how to identify the minima path network connecting three fixed points on
More informationEXPERIMENT 5 MOLAR CONDUCTIVITIES OF AQUEOUS ELECTROLYTES
EXPERIMENT 5 MOLR CONDUCTIVITIES OF QUEOUS ELECTROLYTES Objective: To determine the conductivity of various acid and the dissociation constant, K for acetic acid a Theory. Eectrica conductivity in soutions
More informationRandom maps and attractors in random Boolean networks
LU TP 04-43 Rom maps attractors in rom Booean networks Björn Samuesson Car Troein Compex Systems Division, Department of Theoretica Physics Lund University, Sövegatan 4A, S-3 6 Lund, Sweden Dated: 005-05-07)
More informationApproach to Identifying Raindrop Vibration Signal Detected by Optical Fiber
Sensors & Transducers, o. 6, Issue, December 3, pp. 85-9 Sensors & Transducers 3 by IFSA http://www.sensorsporta.com Approach to Identifying Raindrop ibration Signa Detected by Optica Fiber ongquan QU,
More informationMass Transport 2: Fluids Outline
ass Transport : Fuids Outine Diffusivity in soids, iquids, gases Fick s 1st aw in fuid systems Diffusion through a stagnant gas fim Fick s nd aw Diffusion in porous media Knudsen diffusion ass Transfer
More informationVTU-NPTEL-NMEICT Project
MODUE-X -CONTINUOUS SYSTEM : APPROXIMATE METHOD VIBRATION ENGINEERING 14 VTU-NPTE-NMEICT Project Progress Report The Project on Deveopment of Remaining Three Quadrants to NPTE Phase-I under grant in aid
More informationA mezoscopic vehicles pursuit model for managing traffic during a massive evacuation
A mezoscopic vehices pursuit mode for managing traffic during a massive evacuation Houssein Aaeddine a,b, Mindjid Maizia a, Kama Serrhini a, Emmanue Néron b a Laboratoire Citères de université de Tours
More informationMetal Oxide Semiconductor Field Effect Transistors (MOSFETs) Prof. Ali M. Niknejad Prof. Rikky Muller
EECS 105 Spring 2017, Modue 3 Meta Oxide Semiconductor Fied Effect Transistors (MOSFETs) Prof. Ai M. Niknejad Prof. Rikky Muer Department of EECS University of Caifornia, Berkeey Announcements Prof. Rikky
More informationUltrasonic Measurements of Kinematic Viscosity for Analize of Engine Oil Parameters
th European Conference on Non-Destructive Testing (ECNDT 04), October 6-0, 04, Prague, Czech Repubic More Info at Open Access Database www.ndt.net/?id=6344 Utrasonic Measurements of Kinematic Viscosity
More informationLT138A/LT338A LM138/LM338 5A Positive Adjustable Voltage Regulator. Features. Description. Applications. Typical Application
Features Guaranteed % Initia Toerance Guaranteed.3% Load Reguation Guaranteed A Output Current % Therma Limit Burn-In A Transient Output Current Appications OBSOLETE: FOR INFORMATION PURPOSES ONLY Contact
More informationVersion 2.2 NE03 - Faraday's Law of Induction
Definition Version. Laboratory Manua Department of Physics he University of Hong Kong Aims o demonstrate various properties of Faraday s Law such as: 1. Verify the aw.. Demonstrate the ighty damped osciation
More informationCopyright information to be inserted by the Publishers. Unsplitting BGK-type Schemes for the Shallow. Water Equations KUN XU
Copyright information to be inserted by the Pubishers Unspitting BGK-type Schemes for the Shaow Water Equations KUN XU Mathematics Department, Hong Kong University of Science and Technoogy, Cear Water
More informationAQA GCSE. Higher tier Suitable for GCSE Biology and GCSE Combined Science Trilogy Answers online. Biology. James Napier
AQA sa m p e GCSE Bioogy Higher tier Suitabe for GCSE Bioogy and GCSE Combined Science Triogy Answers onine James Napier 494_AQA_GCSE_Bio_WB_P.indd 97850494 GCSE AQA Bioogy.indd /06/8 :9 PM 0/06/08 0:7
More informationSupport Vector Machine and Its Application to Regression and Classification
BearWorks Institutiona Repository MSU Graduate Theses Spring 2017 Support Vector Machine and Its Appication to Regression and Cassification Xiaotong Hu As with any inteectua project, the content and views
More information