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TRAFFIC STUDY AND FORECASTING full report


Posted by: seminar topics
Created at: Sunday 11th of April 2010 03:01:18 AM
Last Edited Or Replied at :Thursday 16th of September 2010 02:28:01 AM
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the channel which can be identified with the arrival of a particular class of vehicle.
Manual counts :
This method employs a field team to record traffic volume on the prescribed record sheets.
In this method first the fluctuations of traffic volume during the hours of the day and the daily variations are observed .
Presentation of traffic volume data
(i) Annual average daily traffic( AADT) or ADT
The total traffic as well as classified traffic are calculated .
(ii) Trend charts
Showing volume trends over a period of years are prepared.
(iii) Variation charts
..................[:=> Show Contents <=:]



neural networks for weather forecasting ppt


Posted by:
Created at: Saturday 06th of October 2012 06:29:29 PM
Last Edited Or Replied at :Saturday 06th of October 2012 06:29:29 PM
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I am degree student interested in ANN domai..................[:=> Show Contents <=:]



SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC


Posted by: seminar class
Created at: Monday 11th of April 2011 12:37:27 AM
Last Edited Or Replied at :Thursday 06th of December 2012 01:33:25 AM
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d is given. A..................[:=> Show Contents <=:]



WEATHER FORECASTING


Posted by: seminar class
Created at: Wednesday 09th of March 2011 11:26:37 PM
Last Edited Or Replied at :Thursday 17th of March 2011 01:30:54 AM
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ted system being designed to get the weather forecast report in day to day life.
• This system is designed around a microcontroller which forms the control unit of the project.
• According to this system, different parameters such as temperature, humidity are being sensed and are being displayed in LCD.
TEMPERATUR SENSOR (THERMISTOR):
• The word thermistor is an acronym for thermal resistor, i.e., a temperature sensitive resistor.
• It is used to detect very small changes in temperature.
• Thermistors with both negative-temperature-coefficients (NTC) and posit..................[:=> Show Contents <=:]



The Prediction Algorithm Based on Fuzzy Logic Using Time Series Data Mining Method


Posted by: seminar surveyer
Created at: Tuesday 12th of October 2010 11:45:29 PM
Last Edited Or Replied at :Tuesday 12th of October 2010 11:45:29 PM
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ime series analysis and then fuzzy logic has been used to prediction optimal values of important parameters characterizing the time series events. Truth of prediction algorithm based fuzzy logic has been proved by application results.


For more details, please visit
..................[:=> Show Contents <=:]



Demand ForecastingTime Series Models presentation


Posted by: seminar presentation
Created at: Thursday 13th of May 2010 01:27:17 AM
Last Edited Or Replied at :Friday 15th of October 2010 03:55:27 AM
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Error (MSE): Measures variance of forecast error
Forecasting Performance Measures
Mean Forecast Error (MFE or Bias)
Want MFE to be as close to zero as possible -- minimum bias
A large positive (negative) MFE means that the forecast is undershooting (overshooting) the actual observations
Note that zero MFE does not imply that forecasts are perfect (no error) -- only that mean is on target
Also called forecast BIAS
Mean Absolute Deviation (MAD)
Measures absolute error
Positive and negative errors thus do not cancel out (as with MFE)
Want MAD to be as small as possible
No way to kno..................[:=> Show Contents <=:]



TRAFFIC STUDY AND FORECASTING full report


Posted by: seminar topics
Created at: Sunday 11th of April 2010 03:01:18 AM
Last Edited Or Replied at :Thursday 16th of September 2010 02:28:01 AM
traffic study equipment, traffic study scope of work , traffic study companies, traffic study software , traffic study report, traffic study guidelines , TRAFFIC STUDY AND FORECASTING pdf, TRAFFIC STUDY AND FORECASTING ppt , TRAFFIC STUDY AND FORECASTING, report , full, fashion forecasting companies , forecasting case study, forecasting articles , forecasting accounts receivable, forecasting approaches , forecasting and planning, forecasting accuracy , forecasting analysis, forecasting accounts payable , forecasting and budg, traffic studies , traffic volume study report, traffic study , seminar based on traffic study and forecasting, car park traffic surveys , traffic studies ppt, traffic studies introduction , forecsting seminar report, method of forcasting in traffic survey , various method of trafic studies, traffic engineering seminar topics , data traffic forecast ppt, the different methods of carrying out traffic volume studies , traffic study report, traffic and traffic forecaste studies , seminar topics for traffic engineering, traffic and traffic forecast studies , instruments used to carry out a spot speed study in traffic engineering, traffic studies ppts , trafic studies ppt,
oys a field team to record traffic volume on the prescribed record sheets.
In this method first the fluctuations of traffic volume during the hours of the day and the daily variations are observed .
Presentation of traffic volume data
(i) Annual average daily traffic( AADT) or ADT
The total traffic as well as classified traffic are calculated .
(ii) Trend charts
Showing volume trends over a period of years are prepared.
(iii) Variation charts
Showing hourly, daily and seasonal variations are also prepared .
2.Speed studies
Spot speed:
Spot speed is the i..................[:=> Show Contents <=:]



REAL TIME FLOOD FORECASTING full report


Posted by: project report tiger
Created at: Sunday 07th of February 2010 08:16:42 PM
Last Edited Or Replied at :Sunday 07th of February 2010 08:16:42 PM
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c) Bank Erosion.


FOUR ZONES OF FLOODING IN INDIA

a) Brahmaputra River Basin.
b) Ganga River Basin.
c) North “West Rivers Basin.
d) Central India and Deccan Rivers Basin.


SPECIAL FLOOD PROBLEMS

a) Problems Of Tal Areas.
b) River Bank/Bed Erosion.
c) Sediment Transport by Rivers.
d) Dam Break Flows.
e) Urban Drainage.
f) Flash floods.
g) Flood due to snowmelt.
h) Flood in Coastal Areas.


NEED FOR REAL TIME FLOOD FORECASTING

a) To evacuate the affected people to the safer places.
b) To make ..................[:=> Show Contents <=:]



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