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Traffic volume survey

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A Report on Traffic volume By Aust Students

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Traffic volume survey

  1. 1. Welcome To The Presentation On TRAFFIC VOLUME STUDY COURSE NUMBER : 452 COURSE NAME : TRANSPORTATION ENGINEERING LAB-II. COURSE TEACHERS : MD. MINHAJUL ISLAM KHAN, MD. ARMAN CHOWDHURY.
  2. 2. PRESENTED BY GROUP TWO  REZWAN HOSSAIN 11.01.03.152  MD ASHIKUL ISLAM 11.02.03.034  AFRINA KHAN 12.01.03.058  SHARMIN CHAKLDER 12.01.03.083  M.S. RAHMAN 12.01.03.089  RASHED ALAM 12.01.03.098
  3. 3. Presentation Outline  Definition  Objective  Scope of Traffic Volume Study  Keywords Related to Traffic Volume Study  Methodology  Data Collection & Analysis  Limitation  Recommendation
  4. 4. Definition  What is traffic volume studies:  Traffic volume study means determining the number, movement and Classification of Roadway vehicle at a given location or point of traffic stream. So it is defined as the procedure to determine mainly volume of traffic moving on the roads at a particular section during a particular time.
  5. 5. Objectives of Traffic Volume Study  General Objectives:  Geometric Design.  Roadway traffic Design.  Planning Purpose.  Improvement Purpose.  Dynamic traffic management purpose.  Specific Objective:  Determination of vehicle composition in traffic stream.  To determine service flow rate in PCU/PCE unit.  Estimation of Average daily traffic (ADT) using expansion factors.  To determine directional distribution (DD).  To illustrate flow fluctuation curves.
  6. 6. Scope of Traffic Volume Study  Magnitudes, classifications and the time and directional split of vehicular flows.  Proportions of vehicles.  Hourly, daily, yearly and seasonal variation of vehicular flows.  Flow fluctuation on different approaches at a junction.
  7. 7. Keywords Related To The Study  Volume/Flow  Rate of Flow  Volume Counts  Average Daily Traffic (ADT)  Average Annual Daily Traffic (AADT)  Expansion Factors  PCU
  8. 8. Methodology
  9. 9. Equipment Used For Manual Counting Method Tally Sheet Clip Board Stop Watch
  10. 10. Equipment Used For Automatic Counting Method Automatic Traffic Counter Pneumatic Tube Counter
  11. 11. Equipment Used For Automatic Counting Method Inductive loops Weigh in Motion Sensor
  12. 12. Data Collection  Location : Panthapath Signal to Russel Square Signal.
  13. 13. Data Collection (Continues)  Date : 17th December,2015.  Time : 10:00am-10:20am.  Weather Condition : The Sky Was Party Clear.  Counting Method: Direct Manual Method.  Equipment : Stop watch, Tally Sheet, Clip Board.  No. of Enumerators : Six Persons.
  14. 14. Data Collection Sheet Types of Vehicle Number Car, Jeep, Micro, Taxi 207 Three Wheeler 64 Bus 7 Motorcycle 39 NMT 101 Utility & Others 8
  15. 15. Data Analysis  Calculation of Service Flow Rate(Group-2) Types of Vehicle No. of Vehicles (Duration:20 min) PCU Factor Flow (Duration:20 min) Service Flow Rate (PCU in 1 Hour) Car, Jeep, Micro, Taxi 207 1 207 621 Three Wheeler 64 0.5 32 96 Bus 7 3 21 63 Motorcycle 39 0.1 3.9 11.7 NMT 101 0.5 50.5 151.5 Utility & Others 8 1.5 12 36 Total 979.2
  16. 16. Data Analysis (Continues)  Level of Service : D  Composition of Vehicles: Level of Service : D 48% 24% 2% 15% 2% 9% Car, Jeep NMT Bus 3 Wheeler Utility Motorcycle
  17. 17. Data Analysis (Continues)  Estimation Average Daily Traffic (ADT) Based on Expansion Factor: Estimated 24 hour volume for Thursday using HEF = (989.2*17.11+876*18.80+1014*18.52)/3 = 17334.10 PCU From 24-hour volume data for Thursday, the estimated volume for the week using DEF (Daily Expansion Factor), total 7 days’ volume = (17334.10*7.012) PCU = 121546.46 Factor Value Hourly Expansion Factor (HEF) 17.11 Daily Expansion Factor (DEF) 7.012
  18. 18. Data Analysis (Continues) So, ADT for (24 hour volume) East to West Direction- = 121547/7 = 17363.78 PCU **N.B. – Daily Expansion Factor for Thursday is 7.012.  Calculation of Annual Average Daily Traffic (AADT): The AADT is given by, AADT = ADT*Monthly Expansion Factor = (17363.78*1.756) PCU; [Monthly expansion factor= 1.756] = 30490.80 PCU
  19. 19. Data Analysis (Continues)  Directional Distribution: Direction Group No. PCU/hr Avg. PCU/hr Directional Distribution East to West 1 876 957 51%2 979 3 1014 West to East 4 980 945 49%5 1038 6 815
  20. 20. Data Analysis (Continues)  % ADT Calculation: Time East- West West- East E-W ADT W-E ADT E-W %ADT W-E %ADT 9-10 876 980 17363 17122 5.1% 5.72% 10-11 979 1038 5.64% 6.1% 11-12 1014 815 5.84% 4.76%
  21. 21. Data Analysis (Continues)  Fluctuation Curve:
  22. 22. Limitation  This volume study was practiced by un-skilled enumerators, which may lead to some error in data collection process.  Data were collected for 20 minutes by each group, although it is assumed that the data collected for three hours actually it is counted for only one hour which may not represent the hourly fluctuation of traffic.  AADT was calculated using expansion factors. These expansion factors established based on data collected in a rural road of AASHTO, the actual daily expansion factors will be much different from what is used. So they will not give actual ADT.  Data collected by manual method of counting, which is unreliable and irreversible.
  23. 23. Recommendation:  Trained and skilled enumerators should collect data which is first requirement of Manual counting.  Automatic counting system should be introduced for more reliable data.  Actual expansion factor should be introduced for Dhaka city.  For design purpose minimum 3 days Data should be collect.  Before final survey reconnaissance survey or pilot survey is necessary.
  24. 24. Special Observation  All the procedure, methods, equipment were recommendation from AASHTO(American Association of State Highway and Transportation Officials). As the roadway condition, vehicle types, users, surrounding areas, weather all the things are different from the AASHTO code, so we should develop our own code or follow the neighboring country’s code.

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