Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Major Project ppt.pptx
1. ODISHA UNIVERSITY OF
TECHNOLOGY AND RESEARCH
Project Guide: Mr Biswajit Majhi
Submitted by:
Chandan Das (1801106178)
Debashish Khuntia (1801106199)
Debasish Udgata (1801106205)
Farhaan Ali Baig (1801106230)
PROJECT PRESENTATION ON
ANALYSIS OF URBAN TRAFFIC SURVEYING
2. INTRODUCTION
• Traffic survey definition means to capture data that accurately reflects the real-world traffic situation in
the area. It may be counting the number of vehicles using a road or collecting journey time
information.
• Traffic volume is the most important part while we are studying the traffic flow and capacity. According
to traffic volume the design and planning of the road system has to plan.
• Importance of traffic surveys arises when it comes to transport planning, an essential basic requirement
is obtaining a sound understanding of the actual conditions on the ground in order to predict what the
conditions would be in the future.
• Traffic flow in India due to heterogeneous condition it is not possible that the vehicles movement in
lane. Due to this India facing problem traffic due to heavy traffic volume, Measuring the traffic
volume of a heterogeneous nature traffic is represented by transforming the types of vehicles
corresponding to the conveying in terms of passenger car unit per hour.
3. • Measuring the traffic volume of a heterogeneous nature traffic is represented by transforming the
types of vehicles corresponding to the conveying in terms of passenger car unit per hour.
4. OBJECTIVES OF STUDY
The main objective of this research is to analysis the traffic volume and calculate the
total number of vehicle flow at the intersection and study area.
It is studied to known about the traffic conditions and required for further improvement
which are required for smooth traffic flow.
Some objectives are to be study which is given below:
To analyze the traffic volume at different areas of Bhubaneswar and evaluate the total
PCU of each areas.
After analyze the traffic volume we are able to evaluate the factor that affect the
congestion.
To
After the all suitable calculation we would like to suggest a design of our own to
minimize the exiting factor affecting economical and environmental too.
5. A real time snapshot of the road while counting vehicles
7. CASE STUDY
Total area of Bhubaneswar city is 422 km² and the
coordinates of the city is 20⁰17'45.8129" N and
85⁰49'28.3409" E and the elevation is 58m. The
total number of registered vehicles in Bhubaneswar
is approximately 1.4 million as per 2019 data.
In this Project we have taken four different traffic region for our study
1. Kalpana Square
2. KIIT Square
3. Studio Chhawk
4. Master Canteen
8. 1. KALPANA SQUARE
Kalpana square has 3 way traffic one towards
RajMahal other towards BJB Nagar & another leads
to Chinta Manishwar .
It has high traffic during office hours 10-11AM & 5-6
PM , lengths & width of the road needs to be
increased instantly.
2. KIIT SQUARE
KIIT Square, it is another most important traffic of
BBSR. IT has also 3 ways one leads to KIIT &
KIIMS, another leads to Jaydev Vihar &, other to
NandanKanan. Presence of University makes this
Traffic too busy during College & Office timings
specially 5 - 8 PM & 9 -11 AM is the busy hour.
More traffic Volunter needed & although condition of
Road is Good.
9. One of the most important traffic situation outskirt of
the town. This is a four way traffic, one way leads to
Khandagiri and other to Chandaka. One way leads to
Sum hospital and other to rental colony. Being
outskirt of the town it's an accident prone area so
more awareness and volunteers needed.
3. STUDIO CHHAWK
4. MASTER CANTEEN
The most important traffic in Bhubaneswar. It is a
four way traffic. One way leads to railway station,
other to lower PMG, one way leads to Rajmahal and
the other one leads to Vani Vihar. It's one of the
busiest route due to presence of railway station, thus
rotary has been replaced with four way traffic
recently. Widening of road is necessary and more
volunteers needed for traffic volume control.
10. • We have surveyed these 4 important traffic systems for 5 days
• We have collected data like –
i. Length of the Traffic
ii. Width of the traffic
iii. Embankment of the road
iv. Traffic Volume (For 7 days)
2 Wheelers
3 wheelers
4 wheelers
Heavy commercial vehicle
Light Commercial Vehicle
• We don’t have an instrument so we will be using the manual method of counting the vehicles.
I. Direct method.
ii. Indirect method
In this survey traffic volume data is collected on hourly basis for 5 hours everyday in 2 shifts for
5 consecutive days at different locations.
11. A real time snapshot while measuring the aspects of the road
12. • We have calculated the traffic volume at four different traffic points in the form
of PCU(Passenger Car Unit) which is recommended by IRC.
car 1.0
Motorcycle 0.5
Non – Motorised Vehicles 0.2
LCV 2.2
HCV 3.5
3 Wheeler 0.8
By the help of PCU we will analyse the traffic volume and purposed a new design for
some case studies.
13. Some graphical representation of the data (time/pcu)
0
500
1000
1500
2000
2500
3000
PCU
o Kalpana day 02
0
500
1000
1500
2000
2500
3000
PCU
o KIIT day 03
0
500
1000
1500
2000
2500
PCU
o Kalinga studio day 04
0
500
1000
1500
2000
2500
3000
PCU
o Master Canteen 05
14. • We collect the data of vehicles at the peak time that’s why, we have taken highest no PCU as the
traffic volume, which is Q,
• We determine the no vehicles passing through a particular unit length which is known as density.
• If you calculate the Q and density K then we can calculate the velocity V at that intersection area,
and the relation is Q = K .V
then V = Q/K
• We apply the formula upon all the 4 study area.
• After calculation we derived that the lowest velocity of study area.
• We consider the lowest velocity of study area is the worst condition of that particular area
15. • After compilation of the calculation, we found there is a some serious traffic congestion.
• We observed that :
For Kalpana square the lowest velocity is 18.07 (day 02)
For KIIT square the lowest velocity is 20.65 (day 05)
For Kalinga studio square the lowest velocity is 19.45 (day 01)
For Master canteen the lowest velocity is 20.17 (day 01)
• Design speed of all the study area is same and that is = 40km/hr, because all the study area
connected with National Highway no 5.
• With the help of traffic flow analysis it shows that the traffic is too crowded when the
velocity is low. Due to heavy traffic vehicles it increases heavy traffic congestion
16. Improvements for Kalpana square :
• As per the observe data the traffic congestion is at its peak from 9.00 – 10.00AM in the
morning and 6.00 – 7.00 PM in the evening.
• Kalpana square is a 3 way traffic system and the highest PCU is less than 3000
So rotary cant be suggested here.
• There is already a Flyover connected from AG – KALPANA , so suggestion of another flyover
is illogical.
• The only remaining option , We could suggest Widening of Pavement by 1.85
from both the sides.
• The traffic volume in between the route (Laxmisagar – Odisha Museum) is very
high so we need to provide that widening.
• The road widening in Kalpana square will promote faster mobility, connectivity and reduce
traffic congestion.
17. Improvements for KIIT Square
• The observed traffic flow data denotes congestion in traffic volume specially during
college hours i.e. 9:00-10:00 a.m. and 6:00 to 7:00 p.m. In these timings traffic volume
rises and vehicular velocity decreases.
• The calculated data shows peak PCU in traffic is less than 3000. It is 3 way traffic so
rotary cannot be suggested.
• Space for making a flyover is not sufficient so flyover is not also an option.
Widening of road in this route includes along process of land acquisition of private entities
and also not sustainable in long term because this Chandrasekharpur area is still growing and
traffic in this region is gradually increasing.
• The best option what we have observed here is to design and construct a new road from
KIIT square to Fire station which will divert a decent traffic to Khorda route. It will be
beneficial for a long time and long term problem solving than widening of road.
18. Kalinga studio Square
We had measured the PCU as well as the lowest velocity but in further discussion
we concluded that no improvement is necessary for the area.
Actually it is the driver’s perception at what speed he/she can comfortably cross
the crossings.
Being located in the outskirts of the city, this traffic is more accident prone and
localites here are unaware about traffic rules so more traffic volunteers and strict
traffic rules implementation is suggested.
19. Master canteen ( A special case study)
• The average peak PCU value in master canteen is equivalent to 2500.
• Few years back rotary was designed here to maintain traffic flow at high PCU times.
One side of the rotary got heavily jammed due to meeting points of three routes i.e.
Railway station, reliance trends road and Rajmahal road which made this rotary
more accident prone.
As per our observation rotary design was successful in initial years but with
growing traffic volume made this rotary more congested and accident prone. Also with
the expansion of nearby shopping malls resulted in the reduction of outer radius of
rotary.
• Recently designed four way traffic proved to be a little ahead which made the traffic
outflow strategically efficient. This four way traffic diverted the influx from the
railway station which eventually is helpful in decrement of traffic volume.
• Here we learnt that proper location of traffic post is very important for the traffic
flow management.
20. CONCLUSION:
Traffic Volume survey is no doubt not an easy task if you are doing it manually with a paper and
pad in your hand. Traffic volume is the most delicate information to implement transportation
planning, design and to start new transportation modes
Traffic congestion is a global challenge in the development of sustainable and resilient traffic
management systems. In this survey we have collected the real time data, computed the values,
created graphical representation. We calculated the velocity of the traffic area by the help of traffic
volume Q and the density K .
Traffic congestion is a global challenge in the development of sustainable and resilient traffic
management systems. In this survey we have collected the real time data, computed the values,
created graphical representation. We calculated the velocity of the traffic area by the help of traffic
volume Q and the density K .
With the help of our suggestions these improvements should be possible :
• It will save fuel consumption.
• It will save the total journey time as well as traffic congestion will be minimal
• Traffic will flow without any interruption, that will be help for economical growth of our
country