SlideShare a Scribd company logo
1 of 46
Traverse Computations
In Civil Works
2
Traverse
 A traverse is a series of consecutive lines
whose ends have been marked in the field,
and whose lengths and directions have
been determined from measurements
► Used to locate topographic details for
the preparation of plans
► To lay out (setting-out) or locate
engineering works
Two types
 Close
 Open
Main applications of traversing
 Establishing coordinates for new points
(E,N)new
(E,N)new
(E,N)known
(E,N)known
(E,N)known
(E,N)known
4
Closed traverse
 Closed traverse can be link or polygon
 Polygon (loop)
 The lines returns to the starting point, thus
forming a closed figure
 Geometrically and mathematically closed
 Link
 Begins and ends at points whose positions have
been previously determined
 Geometrically open, mathematically closed
5
Open traverse
 Series of measured lines and angles that do
not return to the starting point or close upon
a previously determined point.
 Geometrically and mathematically open
 Lack of geometrical closure means no
geometrical verification of actual positions of
traverse stations
 No means of checking for observational
errors and mistakes
 Should be avoided
6
What is a traverse?
A closed
traverse
A traverse between
known points
Loop
Link
7
Traverse computation
 Traverse computations are concerned with
deriving co-ordinates for the new points
that were measured, along with some
quantifiable measure for the accuracy of
these positions.
 The co-ordinate system most commonly
used is a grid based rectangular orthogonal
system of eastings (X) and northings (Y).
 Traverse computations are cumulative in
nature, starting from a fixed point or known
line, and all of the other directions or
positions determined from this reference.
8
Choosing location of traverse stations
1. Minimize # of stations (each line of sight: as
long as possible)
2. Ensure: adjacent stations always inter-visible
3. Avoid acute traverse angles
4. Stable & safe ground conditions for instrument
5. Marked with paint or/and nail; to survive
subsequent traffic, construction, weather
conditions, etc.
9
6. Include existing stations / reference objects
for checking with known values
7. Traverse must not cross itself
8. Network formed by stations (if any): as
simple as possible
9. Do the above without sacrificing accuracy or
omitting important details
Choosing location of traverse stations
Datum check
 Check if the opening and closing control
points are in-situ
 Measure distance between and check the
direction by compass/or a theodolite
 Compute the distance and bearings by
join computation
 Compare the results [should be within
limits]
10
Join computation
UT24 9251423.671 522931.693
UT23 9251325.691 522838.060
CHANGE -97.980 -93.633
11
12
Traverse Computation
1)Calculation of starting and closing bearings;
2)Calculation of angular misclosure by
comparing the sum of the observed bearings
with the closing bearings.
3)If angular misclosure is acceptable,
distribute it throughout the traverse in equal
amounts to each angle.
4)Reduction of slope distance to horizontal
distance;
13
Traverse Computation (con’t)
5)Calculation of the changes in coordinates
(N, E) of each traverse line.
6)Assessing the coordinate misclosure.
7)Balancing the traverse by distributing the
coordinate misclosure throughout the
traverse lines.
8)Computation of the final coordinates of each
point relative to the starting station, using
the balanced values of N, E per line.
14
Angular misclosure
 The numerical diff. between the existing
bearing and the measured one is called
the angular misclosure.
 There is usually a permissible limit for
this misclosure, depending upon the
accuracy requirements and
specifications of the survey.
Angular misclosure
 A typical computation for the allowable
misclosure  is given by = kn
 where n is the number of angles
measured and k is a fraction based on
the least division of the theodolite
scale.
 E.g, if k is 1”, for a traverse with 10
measured angles, the allowable
misclosure is 3.1623”.
15
Angular misclosure
 For a closed link traverse, the check is
given by
 A1 +(angles) – A2 = (n – 1) 180
 where A1 is the initial or starting
bearing, A2 is the closing or final
bearing, and n is the number of
angles measured.
16
17
Angular misclosure
 Once the traverse angles are within
allowable range, the remaining misclosure
is distributed amongst the angles.
 This process is called balancing the angles
as follows
 Average adjustment
 Misclosure is divided by number of angles and
correction inserted into all of the angles.
 Most common technique
18
Angular misclosure
 Arbitrary adjustment
 if misclosure is small, then it may be inserted
into any angle arbitrarily (usually one that may
be suspect).
 If no angle suspect, then it can be inserted into
more than one angle.
 Adjustment based on measuring conditions
 If a line has particular obstruction that may have
affected observations, misclosure may be divided
and inserted into the two angles affected.
19
Traversing - Computations
 Errors in angular measurement are not
related to the size of the angle.
 Once the angles have been balanced, they
can be used to compute the bearings of the
lines in the traverse.
 Starting from the bearing of the original fixed
control line, the internal or clockwise
measured angles are used to compute the
forward azimuths of the new lines.
 The bearing of this line is then used to
compute the bearing of the next line and so
on
20
Misclosure and adjustment
 For closed traverses, co-ordinates of the final
ending station are known, this provides a
mathematical check.
 If the final computed E and N are compared
to the known E and N for the closing station,
then co-ordinate misclosures can be
determined.
 The E misclosure E is given by
 dE = final computed E – final known E
 similarly, the N misclosure N is given by
 dN = final computed N – final known N
21
Linear Misclosure of Traverse
2 2
dE dN
  
dE = error in easting of last station (= observed - known)
dN = error in northing of last station (= observed - known)
Fractional accuracy: f
L



Order Max  Max f Typical survey task
First 1 in 25000 Control or monitoring surveys
Second 1 in 10000 Engineering Surveying;
Setting out surveys
Third 1 in 5000
2 n
10 n
30 n
22
Example: Traverse Computation (con’t)
Another options
For each leg, calculate N [Dist * cos(Brg)] & E
[Dist * sin(Brg)].
Compute Sum N and Sum E.
Compare results with diff. between start and end
coords.
The difference is dE and dN
23
Linear Misclosure
•These discrepancies represent the difference on the
ground between the position of the point computed from
the observations and the known position of the point.
•The E and N misclosures are combined to give the
linear misclosure of the traverse, where
linear misclosure = (E2 + N2)
E
N
24
Traversing – Precision
 By itself the linear misclosure only gives a
measure of how far the computed position
is from the actual position (accuracy of the
traverse measurements).
 Another parameter that is used to provide
an indication of the relative accuracy of
the traverse is the proportional linear
misclosure.
25
Traversing - Computations
 If a misclosure exists, then the figure
computed is not mathematically closed.
 This can be clearly illustrated with a closed
loop traverse.
 The co-ordinates of a traverse are
therefore adjusted for the purpose of
providing a mathematically closed figure
while at the same time yielding the best
estimates for the horizontal positions for
all of the traverse stations.
26
 Discrepancies between eastings and
northings must be adjusted before
calculating the final coordinates.
Adjustment methods:
 Compass Rule
 Least Squares Adjustment
 Bowditch Rule
 Bowditch Rule is most commonly used.
Adjustment of Traverse
27
 devised by Nathaniel Bowditch in 1807.
Adjustment by Bowditch Rule
Ei, Ni = Coordinate corrections
dE, dN = Coordinate Misclosure (constant)
Li = Sum of the lengths of the traverse (constant)
Li = Horizontal length of the ith traverse leg.
i
n
i
i
i L
L
dE
E 


1
 i
n
i
i
i L
L
dN
N 


1

28
Adjustments - Arbitrary
 The arbitrary method is based upon the
surveyor’s individual judgement
considering the measurement conditions.
 The Least Squares method is a rigorous
technique that is founded upon
probabilistic theory.
 It requires an over-determined solution
(redundant measurements) to compute
the best estimated position for each of the
traverse stations.
29
Adjustments – Transit Rule
 The transit rule applies adjustments
proportional to the size of the easting or
northing component between two stations
and the sum of the easting and northing
differences.
30
Example: Closed Traverse Computation
Measurements of traverse ABCDE are given
in Table 1. Given that the co-ordinates of A
are 782.820mE, 460.901mN; and co-
ordinates of E are 740.270mE, 84.679mN.
The WCB of XA is 123-17-08 and WCB of EY
is 282-03-00.
31
Example: Traverse Computation (con’t)
a)Determine the angular, easting, northing and
linear misclosure of the traverse.
b)Calculate and tabulate the adjusted co-
ordinates for B, C and D using Bowditch Rule.
Station Clockwise angle Length (m)
A 260-31-18
B 123-50-42 129.352
C 233-00-06 81.700
D 158-22-48 101.112
E 283-00-18 94.273
32
Example: Traverse Computation (con’t)
1)There is no need to calculate the starting
and ending bearings as they are given.
2)Calculate the angular misclosure and
angular correction using:
F’ = I + sum of angles - (n x 180)
33
Example: Traverse Computation (con’t)
F’ = I + sum of angles - (n x 180)
sum of angles
= (260-31-18) + (123-50-42) + (233-00-06) +
(158-22-48) + (283-00-18) = (1058-45-12)
I = 123-17-08; (n x 180) = 900
F’ = (123-17-08) + (1058-45-12) - 900 = 282-
02-20
angular misc. = (282-02-20) - (282-03-00) = -
40”
 As there are five angles, each will be added
by the following factor of (40”/5) = 8”.
34
Example: Closed Traverse
Computation (con’t)
Angular correction:
AX 303-17-08
A 260-31-18
(+8”)
563-48-34
360-00-00
A to B 203-48-34
180-00-00
B to A 23-48-34
 B 123-50-42(+8”)
B to C 147-39-24
180-00-00
C to B 327-39-24
 C 233-00-
06(+8”)
560-39-38
360-00-00
C to D 200-39-38
35
Example: Closed Traverse
Computation (con’t)
C to D 200-39-38
180-00-00
D to C 20-39-38
 D 158-22-
48(+8”)
D to E 179-02-34
180-00-00
E to D 359-02-34
 E 283-00-
18(+8”)
642-03-00
360-00-00
E to Y282-03-00
(checks)
36
Example: Closed Traverse
Computation (con’t)
Set up table and fill in bearings, distances,
starting and ending bearings. Calculate
the total traversed distance.
Sta. Brg Dist N E N E
A 460.901 782.820
B 203-48-34 129.352
C 147-39-24 81.700
D 200-39-38 101.112
E 179-02-34 94.273 84.679 740.270
406.437 84.679 740.270
-460.901 -782.820
-376.222 -42.550
37
Example: Closed Traverse
Computation (con’t)
For each leg, calculate N [Dist *
cos(Brg)] & E [Dist * sin(Brg)]. Sum N
and E. Compare results with diff.
between start and end coords.
Sta. Brg Dist N E N E
A 460.901 782.820
B 203-48-34 129.352 -118.343 -52.219
C 147-39-24 81.700 -69.025 43.709
D 200-39-38 101.112 -94.609 -35.675
E 179-02-34 94.273 -94.260 1.575
406.437 -376.237 -42.610 84.679 740.270
-460.901 -782.820
-376.222 -42.550
38
Example: Closed Traverse
Computation (con’t)
 Compute the error in eastings , northings
and linear misclosure
error in Eastings = - 42.610 - (-42.550) = -
0.060m
error in Northings = -376.237 - (-376.222)
= - 0.015m
Linear misclosure
= (((-0.060)2 + (-0.015)2)0.5) / 406.437
= 0.062 / 406.437 = 1 / 6555
39
Example: Closed Traverse
Computation (con’t)
Using Bowditch Rule, calculate correction
for each N & E. ((partial dist./total
dist.) * (error in N or E)
Sta. Brg Dist N E N E
A 460.901 782.820
B 203-48-34 129.352 -118.343
+0.005
-52.219
+0.020
C 147-39-24 81.700 -69.025
+0.003
43.709
+0.012
D 200-39-38 101.112 -94.609
+0.004
-35.675
+0.014
E 179-02-34 94.273 -94.260
+0.003
1.575
+0.014
406.437 -376.237 -42.610 84.679 740.270
-460.901 -782.820
-376.222 -42.550
40
Example: Closed Traverse
Computation (con’t)
Final coordinates of station = coords. of
previous station + partial coords () +
corr.
Sta. Brg Dist N E N E
A 460.901 782.820
B 203-48-34 129.352 -118.343
+0.005
-52.219
+0.020
342.563 730.621
C 147-39-24 81.700 -69.025
+0.003
43.709
+0.012
273.541 774.342
D 200-39-38 101.112 -94.609
+0.004
-35.675
+0.014
178.936 738.681
E 179-02-34 94.273 -94.260
+0.003
1.575
+0.014
84.679 740.270
406.437 -376.237 -42.610 84.679 740.270
-460.901 -782.820
-376.222 -42.550
ERROR PROPAGATION IN
TRAVERSE SURVEYS
41
 Even though the specifications for a project may allow lower accuracies,
the presence of blunders in observations is never acceptable.
 Thus, an important question for every surveyor is: How can I tell when
blunders are present in the data?
 Generally, observations in horizontal surveys (e.g., traverses) are
independent. That is, the measurement of a distance observation is
independent of the azimuth observation .But the latitude and departure
of a line, which are computed from the distance and azimuth
observations, are not independent.
42
 The following figure shows the effects of errors in distance and azimuth
observations on the computed latitude and departure. In the figure it can be
seen that there is correlation between the latitude and departure; that is, if
either distance or azimuth observation changes, it causes changes in both
latitude and departure.
43
DERIVATION OF ESTIMATED ERROR IN LATITUDE
AND DEPARTURE
44
 The estimated errors in these values are solved using matrix Equation as
45
 propagation of observational errors through traverse computations has been
discussed.
 Error propagation is a powerful tool for the surveyor, enabling an answer to
be obtained for the question: What is an acceptable traverse misclosure?
This is an example of surveying engineering.
 Surveyors are constantly designing measurement systems and checking
their results against personal or legal standards. The subjects of error
propagation and detection of measurement blunders are discussed further
in later chapters.
46

More Related Content

Similar to TRAVERSE in land surveying and technique

1648796607723_Material-8---Concept-on-Estimation-Variance.pdf
1648796607723_Material-8---Concept-on-Estimation-Variance.pdf1648796607723_Material-8---Concept-on-Estimation-Variance.pdf
1648796607723_Material-8---Concept-on-Estimation-Variance.pdf
andifebby2
 
Sem 2 Site surveying report 2
Sem 2 Site surveying report 2Sem 2 Site surveying report 2
Sem 2 Site surveying report 2
Est
 
experimental stress analysis-Chapter 8
experimental stress analysis-Chapter 8experimental stress analysis-Chapter 8
experimental stress analysis-Chapter 8
MAHESH HUDALI
 
Location horizontal and vertical curves Theory
Location horizontal and vertical curves Theory Location horizontal and vertical curves Theory
Location horizontal and vertical curves Theory
Bahzad5
 

Similar to TRAVERSE in land surveying and technique (20)

triangulation.pptx
triangulation.pptxtriangulation.pptx
triangulation.pptx
 
Coordinate geometry fundamentals 2012
Coordinate geometry fundamentals 2012Coordinate geometry fundamentals 2012
Coordinate geometry fundamentals 2012
 
Ss report 2
Ss report 2Ss report 2
Ss report 2
 
Project 2- traversing
Project 2- traversingProject 2- traversing
Project 2- traversing
 
Project 2- traversing
Project 2- traversingProject 2- traversing
Project 2- traversing
 
Site Surveying Traversing
Site Surveying TraversingSite Surveying Traversing
Site Surveying Traversing
 
Surveying - Module I - Introduction to surveying
Surveying - Module I - Introduction to surveying Surveying - Module I - Introduction to surveying
Surveying - Module I - Introduction to surveying
 
Ss report 2 report
Ss report 2 reportSs report 2 report
Ss report 2 report
 
SITE SURVEYING: Transversing
SITE SURVEYING: TransversingSITE SURVEYING: Transversing
SITE SURVEYING: Transversing
 
1648796607723_Material-8---Concept-on-Estimation-Variance.pdf
1648796607723_Material-8---Concept-on-Estimation-Variance.pdf1648796607723_Material-8---Concept-on-Estimation-Variance.pdf
1648796607723_Material-8---Concept-on-Estimation-Variance.pdf
 
Position analysis and dimensional synthesis
Position analysis and dimensional synthesisPosition analysis and dimensional synthesis
Position analysis and dimensional synthesis
 
Sem 2 Site surveying report 2
Sem 2 Site surveying report 2Sem 2 Site surveying report 2
Sem 2 Site surveying report 2
 
experimental stress analysis-Chapter 8
experimental stress analysis-Chapter 8experimental stress analysis-Chapter 8
experimental stress analysis-Chapter 8
 
levelling survey
levelling surveylevelling survey
levelling survey
 
tacheometry surveying
tacheometry surveyingtacheometry surveying
tacheometry surveying
 
Surveying sample questions and answers
Surveying sample questions and answersSurveying sample questions and answers
Surveying sample questions and answers
 
curve one
curve onecurve one
curve one
 
Fw2
Fw2Fw2
Fw2
 
Location horizontal and vertical curves Theory
Location horizontal and vertical curves Theory Location horizontal and vertical curves Theory
Location horizontal and vertical curves Theory
 
Theodolite surveying part2
Theodolite surveying part2Theodolite surveying part2
Theodolite surveying part2
 

Recently uploaded

Performance enhancement of machine learning algorithm for breast cancer diagn...
Performance enhancement of machine learning algorithm for breast cancer diagn...Performance enhancement of machine learning algorithm for breast cancer diagn...
Performance enhancement of machine learning algorithm for breast cancer diagn...
IJECEIAES
 
ALCOHOL PRODUCTION- Beer Brewing Process.pdf
ALCOHOL PRODUCTION- Beer Brewing Process.pdfALCOHOL PRODUCTION- Beer Brewing Process.pdf
ALCOHOL PRODUCTION- Beer Brewing Process.pdf
Madan Karki
 
Final DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manualFinal DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manual
BalamuruganV28
 
Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...
Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...
Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...
drjose256
 

Recently uploaded (20)

Instruct Nirmaana 24-Smart and Lean Construction Through Technology.pdf
Instruct Nirmaana 24-Smart and Lean Construction Through Technology.pdfInstruct Nirmaana 24-Smart and Lean Construction Through Technology.pdf
Instruct Nirmaana 24-Smart and Lean Construction Through Technology.pdf
 
Performance enhancement of machine learning algorithm for breast cancer diagn...
Performance enhancement of machine learning algorithm for breast cancer diagn...Performance enhancement of machine learning algorithm for breast cancer diagn...
Performance enhancement of machine learning algorithm for breast cancer diagn...
 
Worksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptxWorksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptx
 
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdflitvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
litvinenko_Henry_Intrusion_Hong-Kong_2024.pdf
 
ALCOHOL PRODUCTION- Beer Brewing Process.pdf
ALCOHOL PRODUCTION- Beer Brewing Process.pdfALCOHOL PRODUCTION- Beer Brewing Process.pdf
ALCOHOL PRODUCTION- Beer Brewing Process.pdf
 
Filters for Electromagnetic Compatibility Applications
Filters for Electromagnetic Compatibility ApplicationsFilters for Electromagnetic Compatibility Applications
Filters for Electromagnetic Compatibility Applications
 
SLIDESHARE PPT-DECISION MAKING METHODS.pptx
SLIDESHARE PPT-DECISION MAKING METHODS.pptxSLIDESHARE PPT-DECISION MAKING METHODS.pptx
SLIDESHARE PPT-DECISION MAKING METHODS.pptx
 
Research Methodolgy & Intellectual Property Rights Series 2
Research Methodolgy & Intellectual Property Rights Series 2Research Methodolgy & Intellectual Property Rights Series 2
Research Methodolgy & Intellectual Property Rights Series 2
 
Geometric constructions Engineering Drawing.pdf
Geometric constructions Engineering Drawing.pdfGeometric constructions Engineering Drawing.pdf
Geometric constructions Engineering Drawing.pdf
 
Final DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manualFinal DBMS Manual (2).pdf final lab manual
Final DBMS Manual (2).pdf final lab manual
 
Augmented Reality (AR) with Augin Software.pptx
Augmented Reality (AR) with Augin Software.pptxAugmented Reality (AR) with Augin Software.pptx
Augmented Reality (AR) with Augin Software.pptx
 
Low Altitude Air Defense (LAAD) Gunner’s Handbook
Low Altitude Air Defense (LAAD) Gunner’s HandbookLow Altitude Air Defense (LAAD) Gunner’s Handbook
Low Altitude Air Defense (LAAD) Gunner’s Handbook
 
The Entity-Relationship Model(ER Diagram).pptx
The Entity-Relationship Model(ER Diagram).pptxThe Entity-Relationship Model(ER Diagram).pptx
The Entity-Relationship Model(ER Diagram).pptx
 
Fuzzy logic method-based stress detector with blood pressure and body tempera...
Fuzzy logic method-based stress detector with blood pressure and body tempera...Fuzzy logic method-based stress detector with blood pressure and body tempera...
Fuzzy logic method-based stress detector with blood pressure and body tempera...
 
Dynamo Scripts for Task IDs and Space Naming.pptx
Dynamo Scripts for Task IDs and Space Naming.pptxDynamo Scripts for Task IDs and Space Naming.pptx
Dynamo Scripts for Task IDs and Space Naming.pptx
 
Piping and instrumentation diagram p.pdf
Piping and instrumentation diagram p.pdfPiping and instrumentation diagram p.pdf
Piping and instrumentation diagram p.pdf
 
Module-III Varried Flow.pptx GVF Definition, Water Surface Profile Dynamic Eq...
Module-III Varried Flow.pptx GVF Definition, Water Surface Profile Dynamic Eq...Module-III Varried Flow.pptx GVF Definition, Water Surface Profile Dynamic Eq...
Module-III Varried Flow.pptx GVF Definition, Water Surface Profile Dynamic Eq...
 
Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...
Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...
Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...
 
Software Engineering Practical File Front Pages.pdf
Software Engineering Practical File Front Pages.pdfSoftware Engineering Practical File Front Pages.pdf
Software Engineering Practical File Front Pages.pdf
 
Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf
Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdfInvolute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf
Involute of a circle,Square, pentagon,HexagonInvolute_Engineering Drawing.pdf
 

TRAVERSE in land surveying and technique

  • 2. 2 Traverse  A traverse is a series of consecutive lines whose ends have been marked in the field, and whose lengths and directions have been determined from measurements ► Used to locate topographic details for the preparation of plans ► To lay out (setting-out) or locate engineering works
  • 3. Two types  Close  Open Main applications of traversing  Establishing coordinates for new points (E,N)new (E,N)new (E,N)known (E,N)known (E,N)known (E,N)known
  • 4. 4 Closed traverse  Closed traverse can be link or polygon  Polygon (loop)  The lines returns to the starting point, thus forming a closed figure  Geometrically and mathematically closed  Link  Begins and ends at points whose positions have been previously determined  Geometrically open, mathematically closed
  • 5. 5 Open traverse  Series of measured lines and angles that do not return to the starting point or close upon a previously determined point.  Geometrically and mathematically open  Lack of geometrical closure means no geometrical verification of actual positions of traverse stations  No means of checking for observational errors and mistakes  Should be avoided
  • 6. 6 What is a traverse? A closed traverse A traverse between known points Loop Link
  • 7. 7 Traverse computation  Traverse computations are concerned with deriving co-ordinates for the new points that were measured, along with some quantifiable measure for the accuracy of these positions.  The co-ordinate system most commonly used is a grid based rectangular orthogonal system of eastings (X) and northings (Y).  Traverse computations are cumulative in nature, starting from a fixed point or known line, and all of the other directions or positions determined from this reference.
  • 8. 8 Choosing location of traverse stations 1. Minimize # of stations (each line of sight: as long as possible) 2. Ensure: adjacent stations always inter-visible 3. Avoid acute traverse angles 4. Stable & safe ground conditions for instrument 5. Marked with paint or/and nail; to survive subsequent traffic, construction, weather conditions, etc.
  • 9. 9 6. Include existing stations / reference objects for checking with known values 7. Traverse must not cross itself 8. Network formed by stations (if any): as simple as possible 9. Do the above without sacrificing accuracy or omitting important details Choosing location of traverse stations
  • 10. Datum check  Check if the opening and closing control points are in-situ  Measure distance between and check the direction by compass/or a theodolite  Compute the distance and bearings by join computation  Compare the results [should be within limits] 10
  • 11. Join computation UT24 9251423.671 522931.693 UT23 9251325.691 522838.060 CHANGE -97.980 -93.633 11
  • 12. 12 Traverse Computation 1)Calculation of starting and closing bearings; 2)Calculation of angular misclosure by comparing the sum of the observed bearings with the closing bearings. 3)If angular misclosure is acceptable, distribute it throughout the traverse in equal amounts to each angle. 4)Reduction of slope distance to horizontal distance;
  • 13. 13 Traverse Computation (con’t) 5)Calculation of the changes in coordinates (N, E) of each traverse line. 6)Assessing the coordinate misclosure. 7)Balancing the traverse by distributing the coordinate misclosure throughout the traverse lines. 8)Computation of the final coordinates of each point relative to the starting station, using the balanced values of N, E per line.
  • 14. 14 Angular misclosure  The numerical diff. between the existing bearing and the measured one is called the angular misclosure.  There is usually a permissible limit for this misclosure, depending upon the accuracy requirements and specifications of the survey.
  • 15. Angular misclosure  A typical computation for the allowable misclosure  is given by = kn  where n is the number of angles measured and k is a fraction based on the least division of the theodolite scale.  E.g, if k is 1”, for a traverse with 10 measured angles, the allowable misclosure is 3.1623”. 15
  • 16. Angular misclosure  For a closed link traverse, the check is given by  A1 +(angles) – A2 = (n – 1) 180  where A1 is the initial or starting bearing, A2 is the closing or final bearing, and n is the number of angles measured. 16
  • 17. 17 Angular misclosure  Once the traverse angles are within allowable range, the remaining misclosure is distributed amongst the angles.  This process is called balancing the angles as follows  Average adjustment  Misclosure is divided by number of angles and correction inserted into all of the angles.  Most common technique
  • 18. 18 Angular misclosure  Arbitrary adjustment  if misclosure is small, then it may be inserted into any angle arbitrarily (usually one that may be suspect).  If no angle suspect, then it can be inserted into more than one angle.  Adjustment based on measuring conditions  If a line has particular obstruction that may have affected observations, misclosure may be divided and inserted into the two angles affected.
  • 19. 19 Traversing - Computations  Errors in angular measurement are not related to the size of the angle.  Once the angles have been balanced, they can be used to compute the bearings of the lines in the traverse.  Starting from the bearing of the original fixed control line, the internal or clockwise measured angles are used to compute the forward azimuths of the new lines.  The bearing of this line is then used to compute the bearing of the next line and so on
  • 20. 20 Misclosure and adjustment  For closed traverses, co-ordinates of the final ending station are known, this provides a mathematical check.  If the final computed E and N are compared to the known E and N for the closing station, then co-ordinate misclosures can be determined.  The E misclosure E is given by  dE = final computed E – final known E  similarly, the N misclosure N is given by  dN = final computed N – final known N
  • 21. 21 Linear Misclosure of Traverse 2 2 dE dN    dE = error in easting of last station (= observed - known) dN = error in northing of last station (= observed - known) Fractional accuracy: f L    Order Max  Max f Typical survey task First 1 in 25000 Control or monitoring surveys Second 1 in 10000 Engineering Surveying; Setting out surveys Third 1 in 5000 2 n 10 n 30 n
  • 22. 22 Example: Traverse Computation (con’t) Another options For each leg, calculate N [Dist * cos(Brg)] & E [Dist * sin(Brg)]. Compute Sum N and Sum E. Compare results with diff. between start and end coords. The difference is dE and dN
  • 23. 23 Linear Misclosure •These discrepancies represent the difference on the ground between the position of the point computed from the observations and the known position of the point. •The E and N misclosures are combined to give the linear misclosure of the traverse, where linear misclosure = (E2 + N2) E N
  • 24. 24 Traversing – Precision  By itself the linear misclosure only gives a measure of how far the computed position is from the actual position (accuracy of the traverse measurements).  Another parameter that is used to provide an indication of the relative accuracy of the traverse is the proportional linear misclosure.
  • 25. 25 Traversing - Computations  If a misclosure exists, then the figure computed is not mathematically closed.  This can be clearly illustrated with a closed loop traverse.  The co-ordinates of a traverse are therefore adjusted for the purpose of providing a mathematically closed figure while at the same time yielding the best estimates for the horizontal positions for all of the traverse stations.
  • 26. 26  Discrepancies between eastings and northings must be adjusted before calculating the final coordinates. Adjustment methods:  Compass Rule  Least Squares Adjustment  Bowditch Rule  Bowditch Rule is most commonly used. Adjustment of Traverse
  • 27. 27  devised by Nathaniel Bowditch in 1807. Adjustment by Bowditch Rule Ei, Ni = Coordinate corrections dE, dN = Coordinate Misclosure (constant) Li = Sum of the lengths of the traverse (constant) Li = Horizontal length of the ith traverse leg. i n i i i L L dE E    1  i n i i i L L dN N    1 
  • 28. 28 Adjustments - Arbitrary  The arbitrary method is based upon the surveyor’s individual judgement considering the measurement conditions.  The Least Squares method is a rigorous technique that is founded upon probabilistic theory.  It requires an over-determined solution (redundant measurements) to compute the best estimated position for each of the traverse stations.
  • 29. 29 Adjustments – Transit Rule  The transit rule applies adjustments proportional to the size of the easting or northing component between two stations and the sum of the easting and northing differences.
  • 30. 30 Example: Closed Traverse Computation Measurements of traverse ABCDE are given in Table 1. Given that the co-ordinates of A are 782.820mE, 460.901mN; and co- ordinates of E are 740.270mE, 84.679mN. The WCB of XA is 123-17-08 and WCB of EY is 282-03-00.
  • 31. 31 Example: Traverse Computation (con’t) a)Determine the angular, easting, northing and linear misclosure of the traverse. b)Calculate and tabulate the adjusted co- ordinates for B, C and D using Bowditch Rule. Station Clockwise angle Length (m) A 260-31-18 B 123-50-42 129.352 C 233-00-06 81.700 D 158-22-48 101.112 E 283-00-18 94.273
  • 32. 32 Example: Traverse Computation (con’t) 1)There is no need to calculate the starting and ending bearings as they are given. 2)Calculate the angular misclosure and angular correction using: F’ = I + sum of angles - (n x 180)
  • 33. 33 Example: Traverse Computation (con’t) F’ = I + sum of angles - (n x 180) sum of angles = (260-31-18) + (123-50-42) + (233-00-06) + (158-22-48) + (283-00-18) = (1058-45-12) I = 123-17-08; (n x 180) = 900 F’ = (123-17-08) + (1058-45-12) - 900 = 282- 02-20 angular misc. = (282-02-20) - (282-03-00) = - 40”  As there are five angles, each will be added by the following factor of (40”/5) = 8”.
  • 34. 34 Example: Closed Traverse Computation (con’t) Angular correction: AX 303-17-08 A 260-31-18 (+8”) 563-48-34 360-00-00 A to B 203-48-34 180-00-00 B to A 23-48-34  B 123-50-42(+8”) B to C 147-39-24 180-00-00 C to B 327-39-24  C 233-00- 06(+8”) 560-39-38 360-00-00 C to D 200-39-38
  • 35. 35 Example: Closed Traverse Computation (con’t) C to D 200-39-38 180-00-00 D to C 20-39-38  D 158-22- 48(+8”) D to E 179-02-34 180-00-00 E to D 359-02-34  E 283-00- 18(+8”) 642-03-00 360-00-00 E to Y282-03-00 (checks)
  • 36. 36 Example: Closed Traverse Computation (con’t) Set up table and fill in bearings, distances, starting and ending bearings. Calculate the total traversed distance. Sta. Brg Dist N E N E A 460.901 782.820 B 203-48-34 129.352 C 147-39-24 81.700 D 200-39-38 101.112 E 179-02-34 94.273 84.679 740.270 406.437 84.679 740.270 -460.901 -782.820 -376.222 -42.550
  • 37. 37 Example: Closed Traverse Computation (con’t) For each leg, calculate N [Dist * cos(Brg)] & E [Dist * sin(Brg)]. Sum N and E. Compare results with diff. between start and end coords. Sta. Brg Dist N E N E A 460.901 782.820 B 203-48-34 129.352 -118.343 -52.219 C 147-39-24 81.700 -69.025 43.709 D 200-39-38 101.112 -94.609 -35.675 E 179-02-34 94.273 -94.260 1.575 406.437 -376.237 -42.610 84.679 740.270 -460.901 -782.820 -376.222 -42.550
  • 38. 38 Example: Closed Traverse Computation (con’t)  Compute the error in eastings , northings and linear misclosure error in Eastings = - 42.610 - (-42.550) = - 0.060m error in Northings = -376.237 - (-376.222) = - 0.015m Linear misclosure = (((-0.060)2 + (-0.015)2)0.5) / 406.437 = 0.062 / 406.437 = 1 / 6555
  • 39. 39 Example: Closed Traverse Computation (con’t) Using Bowditch Rule, calculate correction for each N & E. ((partial dist./total dist.) * (error in N or E) Sta. Brg Dist N E N E A 460.901 782.820 B 203-48-34 129.352 -118.343 +0.005 -52.219 +0.020 C 147-39-24 81.700 -69.025 +0.003 43.709 +0.012 D 200-39-38 101.112 -94.609 +0.004 -35.675 +0.014 E 179-02-34 94.273 -94.260 +0.003 1.575 +0.014 406.437 -376.237 -42.610 84.679 740.270 -460.901 -782.820 -376.222 -42.550
  • 40. 40 Example: Closed Traverse Computation (con’t) Final coordinates of station = coords. of previous station + partial coords () + corr. Sta. Brg Dist N E N E A 460.901 782.820 B 203-48-34 129.352 -118.343 +0.005 -52.219 +0.020 342.563 730.621 C 147-39-24 81.700 -69.025 +0.003 43.709 +0.012 273.541 774.342 D 200-39-38 101.112 -94.609 +0.004 -35.675 +0.014 178.936 738.681 E 179-02-34 94.273 -94.260 +0.003 1.575 +0.014 84.679 740.270 406.437 -376.237 -42.610 84.679 740.270 -460.901 -782.820 -376.222 -42.550
  • 42.  Even though the specifications for a project may allow lower accuracies, the presence of blunders in observations is never acceptable.  Thus, an important question for every surveyor is: How can I tell when blunders are present in the data?  Generally, observations in horizontal surveys (e.g., traverses) are independent. That is, the measurement of a distance observation is independent of the azimuth observation .But the latitude and departure of a line, which are computed from the distance and azimuth observations, are not independent. 42
  • 43.  The following figure shows the effects of errors in distance and azimuth observations on the computed latitude and departure. In the figure it can be seen that there is correlation between the latitude and departure; that is, if either distance or azimuth observation changes, it causes changes in both latitude and departure. 43
  • 44. DERIVATION OF ESTIMATED ERROR IN LATITUDE AND DEPARTURE 44
  • 45.  The estimated errors in these values are solved using matrix Equation as 45
  • 46.  propagation of observational errors through traverse computations has been discussed.  Error propagation is a powerful tool for the surveyor, enabling an answer to be obtained for the question: What is an acceptable traverse misclosure? This is an example of surveying engineering.  Surveyors are constantly designing measurement systems and checking their results against personal or legal standards. The subjects of error propagation and detection of measurement blunders are discussed further in later chapters. 46