5th IEEE International Conference on Signal Processing, Computing and Control (ISPCC 2k19), Oct 10-12, 2019, JUIT,

Solan, India

Traffic Congestion and Accident Prevention Analysis for

Connectivity in Vehicular Ad-hoc Network
1
Shivangni jat, 2Ranjeet Singh Tomar, 3Mayank Satya Prakash Sharma
1,2,3
ITM University Gwalior, 1Shivangni@200@gmail.com, 2ranjeetsingh@itmuniversity.ac.in, 3 mayanksintal@gmail.com

Abstract: Vehicular Ad Hoc Networks (VANETs) is the subclass of the security all around street and spare [1]. Generally, the two
mobile ad hoc networks. We can increase a number of technical basic trade in searching the message which is an emergency
challenges such as improving VANET Connectivity. Road accident message and leveling message. The work of the leveling message
and traffic congestion is a current application in the network of is to discover the state details as like pace, increasing speed, and
vehicular Ad-hoc network. All have Studied thoroughly put and the speed of every vehicle. The message will be received every
delay for connectivity in this particular paper. We are trying to
vehicle sent by the level message and what’s more, it can
Enhance VANET connectivity with a different technique and
simulations .we have studied vehicle density and the influence of likewise be called a signal message. The pre-collision notice and
various number of parameters, message delay, and RSU the post-collision awareness an surroundings and street peril is
communication range. We also use lights of traffic and roadside given by the emergency message. The common meaning of the
units. In this paper, we introduce three different paths with different term of VANET (vehicular ad-hoc network) alludes to the
Quantity of vehicles and we interface SUMO with NETSIM. We have chance of having a wireless communication network node
concluded the nature of Real-time traffic Simulation Connectivity mounted on vehicles to ready to set up a remote communication
using NETSIM. In this paper to be a valuable work to improve the with different nearby communication nodes able to be seen in the
connectivity between vehicle to vehicle as long as they are connected radio range. Another known methodology is that the vehicles are,
to each other and the future performance of the applications for the
by meaning, versatile items and, as a result, the system topology
connectivity of the vehicles in the urban areas and Highways, we are
trying to reduce the road accidents with the help of improving is arbitrarily variable in time regardless of the truth that, for this
connectivity. specific situation, a few forecasts can be made on the movement
of correspondence hubs since any vehicle should move along
Keywords: VANET, MANET SUMO, NETSIM predefined directions (i.e., streets). VANET is an interesting kind
1 Introduction of network system which lies under the system of MANET [2]

Vehicular Ad-hoc networks is a part of mobile Ad-hoc Network. VANET system has some predicted and fundamental data which
The VANET has an unstructured formation of wireless networks includes Vehicle movement in two directions because the
for the transmission of data to the field vehicles. Intelligent mobility is predictable. The transmission mode is frequently
transportation systems (ITS) is a part of Ad-hoc networks. A few transmitting. The power accessible is adequate. There are two
decades ago VANET was used as a simple one-to-one correspondence modes which are vehicle to network and vehicle
communication application of MANET principles. Since then the to vehicle infrastructure.
field of research in VANET has developed rapidly to make it much Last few years ago the invention of mobile vehicle networks
better for a vehicle to vehicle communication. In the year the word given a new experience to drive the vehicles on the road
VANET became a more popular term in the sense inter-vehicle highways by reducing the risks of accidents and also the idea of
communication (IVC), but the main motive about the VANET still the vehicle to vehicle communication makes it easier to know the
remains on the unstructured networking, much less on the use of things about the road traffic and such other things. So the
infrastructures like RSUs (Road Side Units) or cellular networks researchers, governments, and manufacturers are participating in
In the system of the VANET is a class of portable pre-arranged in this area to make it more reliable and to decrease the accident
the vehicle, hubs are spoken one another for trading data. The level and vehicle crashes and injuries and fatalities on the
sensors are placed in the vehicle. The GPS (Global Positioning highways [3]. Firstly the VANET mechanization
System) is found out the current accompaniment .This work with research that centers or save the
vehicle crashes in the first place. The authorities of government
location, speed, pace and other all vehicles their destination. The are to study the new projects, research, and development of
message related to the vehicle trading safety of all individuals VANET system. The Dedicated Short Range Communications
from mishaps to a brutal vehicular surroundings, and increase (DSRC)' is a developed ITS task assigned to VANET

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 5th IEEE International Conference on Signal Processing, Computing and Control (ISPCC 2k19), Oct 10-12, 2019, JUIT, Solan, India

standardization; with the phrase 'DSRC' becoming a national have come to the conclusion that it will be beneficial for the
name for any set of standards that seek to put VANET vehicular connectivity in urban areas.
mechanization into existence.
The VANET system is basically designed to provide safety. The
VANET system is used in Vehicle to enhance road safety and 3. Problem statement
reduce the road accident chance and reduce the time delay
We are trying to Enhance VANET connectivity with the help of
between the moving node. some different -different traffic path, With the help of
In VANET system one problem is identified that the problem is simulations, we have analyzed number of parameters, including
known as a hidden node problem. The hidden node terminal is vehicle density, message delay, and RSU communication range.
generating, by the invisible node or vehicle. In this problem is We also discussed traffic lights and roadside units. Particularly
the one node is hidden to another node so that region no idea In this paper, we introduce three different paths with different
about vehicle size, speed, and direction. Quantity of vehicles (30, 40,50) and we interface with Net SIM
with event trace, Dynamic trace and packet trace. We have
By the hidden node problem, the road accident is increase and concluded the behavior of Real-time traffic Simulation
vehicles are crashes. In this problem, the message is transferred Connectivity using NETSIM. We consider this paper to a very
to another vehicle in delay if any region as like communication important part in providing connectivity improvement between
link is broken, and the vehicle is busy so that region accident. vehicle to vehicle as long as they are connected to each other and
execution of further upcoming applications for the connectivity
We resolve the hidden node problem in VANET; we use the
of vehicles in the urban areas and Highways, we are trying to
different protocols, RSU, OBU, and cluster. We find the vehicle
reduce the road accidents with the help of improving
size, and location we use the location-based protocols and RSU
(Road Side Unit) and OBU (On Board Unit) to provide connectivity.
communication between to rotating node. The frequency is
divided into different cluster because the maximum frequency is
used. 4. Performance Technique
The communication is fast between two moving nodes. The SUMO file is a combination of Edge file, node file, network file
message is transferred to another vehicle without delay and vehicle route file
receiver response the immediately, in this the hidden node
problem is decrease . SUMO configuration file is called a mobility file. Final mobility
file of SUMO is an input for NETSIM. NETSIM Simulate Result
with help of SUMO mobility file
2. LITERATURE REVIEW
1: Xiping Hu, Victor C.M. Leung, - As it is being seen in our day
to day life ,while we use mobile phones ,we see that various
transitions in the MANET can be seen frequently same thing can
be seen in the vehicle moving in a very high speed. So in the
same manner the wireless links have very short lifetime .The
main work is to handle the possible disconnections or re-
connections. However, it too results in displacement of the
appropriate operations of self-adaptive mobile applications.
2: VANET connectivity analysis: in this paper the researcher has
provided the results of simulations by using percolation theory.
The analysis have gone through various process to study these
mentioned topics named as influence of number of parameters
including vehicle density ,radio communication range , traffic
lights and roadside units. Results of these are showing as the
behaviors of connectivity. By studying these topics in detail we
Fig (1)SUMO-NETSIM- INTERFACING

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 5th IEEE International Conference on Signal Processing, Computing and Control (ISPCC 2k19), Oct 10-12, 2019, JUIT, Solan, India

-Legacy Networks
- MANET
-Wireless sensor networks
-Long term Evolution

We are using NETSIM v9 standard version in our paper we

interface sumo with NETSIM with the help of generating
mobility txt file. In NETSIM v10 we have VANET option so we
directly export the file from sumo and give as input for NETSIM

6. Result and Simulation

Fig(2) Flow Chart Simulation Technique
Vehicle 40

1. SUMO In this scenario, we have designed through NETSIM. we show in

2. NETEDIT this figure the communication between each vehicle application.
3. NETSIM These applications are given some result as like, data transfer
successfully, packet collided, a packet transmitted, and
1.SUMO – Basically it is an open- source software for traffic simulation time.
simulation. This particular sumo helps in the controlling of the
traffic simulation and it provides easement to the command of Throughput=
the certain routes and the departure times of vehicles. By the help
of this software we design a VANET path for urban areas and
also we export the map with the help of an open street map. Throughput for 40 vehicles
Throughput= = 73.6%
5. THE SIMULATION

1. Basic paradigms: It work is to simulate the traffic road

network of size of the city.
2. Traffic lights: .As it is well known that traffic lights improves Simulation analysis
the flow of traffic and plays an vital role in managing the traffic. Time of simulation (ms) = 100000.00
Transmitted packets = 159441
2. NETEDIT- Errored packets = 20114
It is a visual network editor. To modify all aspects of existing Collided packets= 40612
network and create a network from scratch it is being used to Transmitted bytes (Bytes) = 26453922.00
process these. It is a GUI application an inputs as chosen through Transmitted payload (Bytes) = 7367160.00
the help of menus. Given blow are the input formats- Transmitted overhead (Bytes) = 19086762.00
Net files- SUMO
OSM files Results and Discussion for 40 vehicles
Configuration file- NETCONERT
Output
Net file- SUMO
XML files - plain

1. NETSIM- NETSIM is a network simulation tool that

allows you to create network scenario model traffic,
design protocol, and analyze network performance. The Fig (3): VANET path on NETEDIT – sumo
various network technologies covered in NETSIM
Above fig(3) Shows the NETEDIT path for 40 vehicles in this fig we
include: design a path for 40 vehicles which shows nodes ,edges and traffic
signal.
-Internetworks

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 5th IEEE International Conference on Signal Processing, Computing and Control (ISPCC 2k19), Oct 10-12, 2019, JUIT, Solan, India

Fig (4): VANET path of 40 vehicles on NETEDIT-sumo

Above fig Shows that the NETEDIT sumo path which shows the path of
40 vehicles and the above fig represent the flow of 40 v4hicle the
vehicles are shown in fig.
Fig(7): Overall 40 vehicle network graph

Above fig shows that the overall graph of 40 vehicle network

which shows that the maximum throughput is 82.795206mbps
for overall scenario of 40 vehicles.

Vehicle 50

Fig(5): 40 Vehicles Connectivity scenario on Netsim In this scenario, we have designed through NETSIM. We show
in this figure the communication between each vehicle
Above fig shows the vehicle connectivity scenario on NETSIM application. These applications are given some result as like, data
this is the NETSIM scenario for 40 vehicles we created in transfer successfully, packet collided, the packet transmitted, and
NETSIM in this process we connected vehicles through simulation time.
application layer with specific vehicle ID.
Throughput

Throughput for 50 vehicles

Throughput= = 62.4%

Fig (6): 40 vehicles connectivity scenario according to mobility file

Above fig(6) Shows the vehicle connectivity according to the

mobility file which we create with the help of sumo Simulation analysis
configuration file this fig shows the simulation between vehicles. Time of simulation (ms) = 100000.00
Transmitted packets= 295686
Errored packets = 51213
Collided packets = 101962
Transmitted bytes (Bytes) = 35408057.00
Transmitted payload (Bytes) = 6247340.00
Transmitted overhead (Bytes) = 29160717.00

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 5th IEEE International Conference on Signal Processing, Computing and Control (ISPCC 2k19), Oct 10-12, 2019, JUIT, Solan, India

Above fig shows the vehicle connectivity according to the

mobility file which we create with the help of sumo
configuration file this fig shows the simulation between vehicles.

Fig (8): VANET path on NETEDIT – sumo

Above fig Shows the NETEDIT path for 50 vehicles in this fig we
design a path for 50 vehicles which shows nodes ,edges and traffic
signal.
Fig (12): Overall throughput graph of 50 vehicle

Above fig. shows that the final graph for 50 vehicle in this graph
the maximum throughput is 82.795206mbps which is the overall
network graph.

Vehicle 60
In this scenario, we have designed through NETSIM. we show in
this figure the communication between each vehicle application.
Fig (9): VANET path on NETEDIT –sumo These applications are given some result as like, data transfer
successfully, packet collided, the packet transmitted, and
Above fig shows that the NETEDIT sumo path which shows the path of simulation time.
50 vehicles and the above fig represent the flow of 50 v4hicle the
vehicles are shown in fig. Throughput
=

Throughput for 60 vehicles

Throughput= = 90.1%

Fig (10): VANET path on NETEDIT -sumo Simulation analysis

Above fig Shows the vehicle connectivity scenario on NETSIM Time of Simulation (ms) =100000.00
this is the NETSIM scenario for 50 vehicles we created in Transmitted packets =447668
NETSIM in this process we connected vehicles through
application layer with specific vehicle ID. Errored packets =16215
Collided packets =160616
Transmitted Bytes (Bytes) =47459728.00
Transmitted Payload (Bytes) =9016960.00
Transmitted overhead (Bytes) =38442768.00

Fig (11): 50 vehicles connectivity scenario according to mobility file

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 5th IEEE International Conference on Signal Processing, Computing and Control (ISPCC 2k19), Oct 10-12, 2019, JUIT, Solan, India

Fig (13): VANET path on NETEDIT –sumo

Above fig shows the NETEDIT path for 60 vehicles in this fig we
design a path for 60 vehicles which shows nodes ,edges and traffic Fig (17): 50 vehicles connectivity scenario according to mobility file
signal.
Above fig(17) Shows that the link state graph of 60 vehicle
which shows that the maximum throughput is 117.967953 mbps
for overall network.

5 CONCLUSION

In this paper, we have analyzed Vehicle connectivity and traffic

Fig (14): VANET path on NETEDIT –sumo
congestion in different link and junction of sumo path for safety
Above fig shows that the NETEDIT sumo path which shows the path of and security purpose. We have taken three scenario of vehicle
60 vehicles and the above fig represent the flow of 60 v4hicle the such as 40 ,vehicle , 50 and vehicle 60 . We have simulated the
vehicles are shown in fig.
result with the help of sumo and interface with NETSIM based
on throughput and time and identify the traffic jamming in each
junction.

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[7] D. Krajzewicz, J. Erdmann, M. Behrisch, “Recent Development

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