Traffic Speed Count Sheet

8/19/2019 Traffic Speed Count Sheet

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DATA COLLECTION

Primary Data Collection

For this research most of the data collected was primary data and the following are the methodsused to gather the information.

TRAFFIC VOLUME COUNTIn this study, trafc volume counts were done manually due to lack o access to

automated or more sophisticated gadgets. This involved observers physically

counting the vehicles passing on either side o the road at 15minute intervals using

phones synchronized to read the eact same time.

!ach o the data collectors was a civil engineering student who had prior knowledge

o conducting the counts. They moreover were brieed on the studies appropriatemethodology and the ob"ectives intended to be achieved. There were 5 data

collectors in total each instructed to record a certain class o vehicles. Two were

allocated to record a in each direction and the 5 th data collector also worked as the

relie person. They were issued with tallying sheets and data counts.

The manual trafc count method was carried out rom #$%% am to #$%% pm.

The data was collected at the point shown on the map below.


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Map Showing data collection point. Source: Google Earth

3.2 SPEED COUNT

The speed count method employed was the moving observer method which involves theobserver driving along the desired length to be studied and measuring the time it takes to cover

the distance. From this time measurement the average travelling speed can be obtained.

!pon obtaining a vehicle that fre"uented the road under study a total of five runs were made

along its whole distance. # run in this case indicates a to and fro drive from the $asarani%Thika

&oad 'unction all the way to the Mwiki &ailway stop and then driving back. The driving time

taken in each direction was recorded for each run.

The speed count was carried out during different times of the day that were selected to coincide

with the e(pected peak and off peak periods. This was chosen to be able to assess the different

conditions of the road at different times of the day and would therefore provide a good measureof the average travel speed.

RESULTS AND ANALSIS

TFF)* *+!,T &ES!-TS

The following were the results obtained from the field data collection.


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Table: Traffic volume counts headed to Mwiki

#pproaching From: $#S#,) T/)$# &+#01 E(iting to: M2)$)

3ehicle

Type4 /our

Starting Motorcycles *ars

5ickups

6eeps

3ans

S!3s

Matatus 7

Minibuses

8use

s

-ight

Trucks

Medium

Trucks

/eavy

Trucks

9: #M

; ; > ;> ?; ;

> >> =9 >; > ;> >?

> > >? ;

; @< ;9 A ; A ; >;

@: #M

= 9 >A

; >>; ;> ? = ;= >@

> A@ ;= >> > ?> ;>

B9 ;@ 9 > ? ;> ;=

< @ > 9 == ;>

; ?= ;= 9 > >< ><

= 9> ;> >; > > ;9 >;

> ?< =B ? ; >? @

>: #M

> =< = A ;9 ><

> =9 ;= 9 = =A >?

; ;< >A @ ; ; ?9 >A

> == ;; 9 > ? = >;

>>: #M

= ?> => 9 > ;A >=

= == A >? >;

> = >A ? ; >9 A

; == >; ; ;= >;

>;: 5M

> =9 ;> >B > ;9 ;>

> ;> >< < = => >=

; ;= > > ; = ;>

> ;; ;9 >; > = >?

>: 5M

= ; ?; ; ? ;9 >A

> =< ;= >; = >A >;

B B9 ;? A ; ; ;< ;9

> A ;@ @ ; =B ><

;: 5M

= ?= ;> 9 > ?; ;

> == ; >; ?9 ;>; ?> => >? > => >?

> ;< >? @ = =9 >;

=: 5M

= ;9 ;= 9 > ? ;A A

? ;@ ;> A 9 ; >?

; ;9 >? >; >; >A >;

;< ;@ 9 > ;; >=

?: 5M > == ;= @ ? =9 A


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= =9 ;= > 9 => >;

> ?; ;B 9 > >= ; >?

> ?> >< >; > A >? A

B: 5M

; ?< ;9 > ? >= 9

A= ;< >; > @ >; >;

> 9 == >@ A >A >=

> ; ; > ; >;

A: 5M

= >= A> >= ; >= ;> >

? >; ?; >A >; ; ;=

> >>= =< > > >= == ;;

= ? > > =9 >A

Table ?.;: Traffic 3olume *ounts headed to Thika &oad

#pproaching From: M2)$) E(iting to: T/)$# &+#0$#S#,)1

3ehicle

Type4 /our

Starting Motorcycles *ars

5ickups

6eeps

3ans

S!3s

5ickups

Matatus 7

Minibuses

8use

s

-ight

Trucks

Medium

Trucks

/eavy

Trucks

9: #M

= >B? A< ;; ; ;= ;9 ;>

>;9 B= >A = >> == ;

> >=A B< >@ > >; ;> >?

; >>= ?@ >; > = ;;

@: #M

; >> B9 >< > >> ;? >;

= >;> ; ; >9 ;; >A

B @ = >? ;< ;;

; >> ?> > >; ; ;?

< ;; >=

; B? ?< >; > >9 ;9

> =< > A ;< >?

; @? ? @ = = >@

>: #M

A> =< 9 > B == ;A

> ?> =9 9 ; ?> ;>

?@ ?> ? > ;A >;

; =A =B A ? >= >?

>>: #M

> ?> =? > = ;9 >A

> =9 =< = > ? ;>

; =< ;< B > => >?

; B= = ? == >;

>;: 5M

> B? =9 B > ?; ;

= ?A => > = B= ;>

> ?? ;? A ; ?> >A

; ?@ =@ ? > > ? >;


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>: 5M

> A= ?; 9 > = ;;

> B? B> > A ;< =>

= A@ ?@ = = ?@ >;

> B9 A B > ? ?? ;=

;: 5M

? ?< ?9 ; > = => ;9

> B> == > > ;9 >?

; B= ? > > ; ;@

; ?9 => > ; ;; ;@

=: 5M

B9 ;9 = > ;; ;9

> ?@ => B > >< ;=

> B ; > ; ;

= A >? > B ;? ;9

?: 5M

= B@ >A A =< =

= BA ; ; > ?? ><

; A> >; = ? =9 >A

> 9= ;> = ?> >;

B: 5M

= 99 ;; B = ? >?

? @; ?A 9 ? =< >A

? >9 B> < > = ?> ;>

B > =< >= ; > =; ;>

A: 5M

> >> B9 A > ;9 ;

B >=9 B; 9 ; ? => >@

= >;A ?> < > ; ;< =

> >>; A > > > >< ;

5#SSE,GE& *#& !,)T 5*!1

5assenger *ar !nit 5*!1 is a metric used in Transportation Engineering to assess traffic%flow

rate on a highway. # 5assenger *ar !nit is a measure of the impact that a mode of transport has

on traffic variables such as headway speed density1 compared to a single standard passenger

car. This is also known as passenger car e"uivalent. /ighway *apacity Manual ;1

For e(ample typical values of 5*! are:

Ta!le "# Val$e% o& 'c$

*ar >.

Motorcycle .B


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8icycle .;

-*3 ;.;

8us Truck =.B

=%wheeler .@

The following are the corrected values of the traffic counts in 5assenger *ar !nits. The

correction factors used are as outlined in the literature review.

Table ?.=: *orrected 5*! 3alues for the traffic count headed to M2)$)

Tra&&ic Vol$me Co$nt S(eet#pproaching From: T/)$# &+#0 E(iting to: M2)$)

*orrected 5*!3alues for

Motorcycles

*orrected 5*!

3alues for *#&SS!3s

personal cars1 4

*orrected 5*!

3alues for

-*3s pickups4matatus

4minibuses1

*orrected

5*! 3aluesfor Trucks 7

8uses

9: #M % 9:>B #M .AA B #M % 9:= #M .== BA

9:= #M % 9:?B #M .== 9A ;.B >B<

9:?B #M % @: #M .AA AA B >=@

@: #M % @:>B #M .?>

@:>B #M % @:= #M .AA B >A@

@:=#M % @:?B #M .== A@ ;>

@:?B #M % A;

B #M % =@B #M .== 9; >99

>:>B #M % >:= #M .== A ;>

>:= #M % >:?B #M .AA ?@ B ;?

>:?B #M % >>: #M .== B@ ;.B >?>

>>: #M % >>:>B #M .?>

>>:>B #M % >>:= #M 9@ >:= #M % >>:?B #M .== ? @9

>>:?B #M % >;: 5M .AA ;@ >>>

>;: 5M % >;:>B 5M .== 9; >9?

>;:>B 5M % >;:= 5M .== BA >A;>;:= 5M % >;:?B 5M AA ;.B >@=

>;:?B 5M % >: 5M .== 9@ >B=

>: 5M % >:>B 5M .;? >A;

>:>B 5M % >:= 5M .== 9 >;<

>:= 5M % >:?B 5M >.AB A B >@A

>:?B 5M % ;: 5M .== 9; B >9>

;: 5M % ;:>B 5M .


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;:>B 5M % ;:= 5M .== A? ;=>

;:= 5M % ;:?B 5M .AA BA

;:?B 5M % =: 5M .== ?? >A@

=: 5M % =:>B 5M .>9

=:>B 5M % =:= 5M >.=; B? >=;

=:= 5M % =:?B 5M .AA B; >?>

=:?B 5M % ?: 5M 9 >?9

?: 5M % ?:>B 5M .== A; >?9

?:>B 5M % ?:= 5M .B

?:= 5M % ?:?B 5M .== A? ;.B >A;

?:?B 5M % B: 5M .== A; ;.B @9

B: 5M % B:>B 5M .AA 9? B 5M % B:= 5M @; ;.B >>>

B:= 5M % B:?B 5M .== >; >>9

B:?B 5M % A: 5M .==


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>>:?B #M % >;: 5M .AA A@ >BA

>;: 5M % >;:>B 5M .== @? ;>=

>;:>B 5M % >;:= 5M .;:= 5M % >;:?B 5M .== A >@<

>;:?B 5M % >: 5M .AA @? ;.B >99

>: 5M % >:>B 5M .== @

>:>B 5M % >:= 5M .== >? ;;;

>:= 5M % >:?B 5M .; ;;B

>:?B 5M % ;: 5M .== >= ;.B ;=>

;: 5M % ;:>B 5M >.=; B 5M % ;:= 5M .== A@ >?9

;:= 5M % ;:?B 5M .AA @; >@

;:?B 5M % =: 5M .AA A; ;.B >AB

=: 5M % =:>B 5M A >BA

=:>B 5M % =:= 5M .== 9; ;.B >?>

=:= 5M % =:?B 5M .== ?; >=B

=:?B 5M % ?: 5M .@A

?: 5M % ?:>B 5M .B 5M % ?:= 5M .9>

?:?B 5M % B: 5M .== ?@ >A;

B: 5M % B:>B 5M .99

B:>B 5M % B:= 5M >.=; >A >@

B:= 5M % B:?B 5M >.=; >; ;.B ;?

B:?B 5M % A: 5M >.AB >? B >9?

A: 5M % A:>B 5M .== >;A >BA

A:>B 5M % A:= 5M >.AB >>@ B >99

A:= 5M % A:?B 5M . ;.B ;9

A:?B 5M % 9: 5M .== >? ;.B >??

The average >B minute traffic was as depicted below:

Table ?.B: #verage >B minute traffic headed to $angundo &oad

#pproaching From: T/)$# &+#0 E(iting to: M2)$)

Time #verage >B min Traffic

9: #M % 9:>B #M ?9>.>A

9:>B #M % 9:= #M =A?.==

9:= #M % 9:?B #M ==?.@=9:?B #M % @: #M ;B #M ;


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B #M % .AA

:>B #M ;@@.==

>:>B #M % >:= #M ;:= #M % >:?B #M ;@A.AA

>:?B #M % >>: #M ;=?.@=

>>: #M % >>:>B #M ;B@.>:>B #M % >>:= #M ;?

>>:= #M % >>:?B #M >B9.==

>>:?B #M % >;: 5M >9;.AA

>;: 5M % >;:>B 5M ;@=.==

>;:>B 5M % >;:= 5M ;=;:= 5M % >;:?B 5M ;9>.B

>;:?B 5M % >: 5M ;B=.==

>: 5M % >:>B 5M =A.:>B 5M % >:= 5M ;=@.==

>:= 5M % >:?B 5M =:?B 5M % ;: 5M =@.==

;: 5M % ;:>B 5M =.==

=: 5M % =:>B 5M ;9.?<

=:>B 5M % =:= 5M ;>B.=;

=:= 5M % =:?B 5M ;;.AA=:?B 5M % ?: 5M ;?A

?: 5M % ?:>B 5M ;?;.==

?:>B 5M % ?:= 5M ;B=.B 5M ;>=.AA

B:>B 5M % B:= 5M ;[email protected]

B:= 5M % B:?B 5M ;@.==

A: 5M % A:>B 5M =.B 5M % A:= 5M ?B.=;

A:= 5M % A:?B 5M ?=B.@=

A:?B 5M % 9: 5M =B minute traffic headed to Thika &oad $#S#,)1

#pproaching from: M2)$) E(iting to: T/)$# &+#0

Time #verage >B min Traffic


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9: #M % 9:>B #M B@?.B #M % 9:= #M ?9=.B

9:= #M % 9:?B #M ??B.@=

9:?B #M % @: #M ??=.AA

@: #M % @:>B #M ?;9.>A

@:>B #M % @:= #M B;B.B

@:?B #M % := #M =;9.==

>:= #M % >:?B #M ;B@>:?B #M % >>: #M ;>?.AA

>>: #M % >>:>B #M ;A>.==

>>:>B #M % >>:= #M =>A.==

>>:= #M % >>:?B #M ;9;.>A

>>:?B #M % >;: 5M ;99.AA

>;: 5M % >;:>B 5M =B>.==

>;:>B 5M % >;:= 5M =B;:?B 5M ;;:?B 5M % >: 5M =>;.>A

>: 5M % >:>B 5M =?>.==>:>B 5M % >:= 5M =@.==

>:= 5M % >:?B 5M =B 5M =B?.@;

;:>B 5M % ;:= 5M ;AA.==

;:= 5M % ;:?B 5M =>B.AA

;:?B 5M % =: 5M ;99.>A

=: 5M % =:>B 5M ;9=

=:>B 5M % =:= 5M ;A=.@=

=:= 5M % =:?B 5M ;;9.===:?B 5M % ?: 5M ;9A.B 5M ==.B 5M % ?:= 5M =?.B 5M [email protected] 5M % B:= 5M =A


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B:= 5M % B:?B 5M ?=?.@;

B:?B 5M % A: 5M =@?.AB

A: 5M % A:>B 5M =B 5M % A:= 5M [email protected]

A:= 5M % A:?B 5M ?=A.?<

A:?B 5M % 9: 5M =?A@.;A=.?@

A?.: #M >>@.>B

>>: #M 9?9.?<

>: 5M >>A=.=

;: 5M >>A9.=>

=: 5M @@.>B

?: 5M >>@>.?


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A: 5M >AAA.=

TOTAL TRAFFIC "*),"-

The 0irectional Split was as depicted below.

Table: 0irectional Split

T+ M2)$)T+ $#S#,)T/)$# &+#01

>=AB.B9 >A@>@.@?

??.@C BB.;CTRAFFIC SPEED COUNT SHEET

&'(

().

*I+T(-

! /0

TI0!

)2

&'(

TI0!

T/!

( T)

0I(+

3+!-+

TI0!

T/!

( 2&)

0I(+

3+!-+

TI0!

T/!

( T)

4&+

TI0!

T/!

( 2&)

4&+

!&6

! +7!!*

T)

!&6

! +7!!*

2&)

!&6

! &'(

+7!!*

1 8 #$15

0

9 8 1%$%%

0

: 8 1$%%

70

; 8 :$:%

705 8 5$:%

70

T)T< !&6! +7!!*

Traffic Speed Count Sheet

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