Abstract paper is about the values of



The main aim of this Traffic route finder
system is to reduce the number of re-computations for finding optimised route
and alternate routes. This is to obtain less memory consumption & less
wastage of resources that results in minimal response times.On the development
of Intelligent Transport System (ITS), this increasing intensive on- demand of
routing guidance system in the real time coincides with increasing growth of
roads in the real world. This paper is about the values of the real-time
traffic data obtained for arrving at an optimal vehicle routing solution within
a dynamic transportation networks.Our proposal is to implement an optimal
vehicle routing algorithm in order to incorporate the dynamically changing
traffic flows.Thus we present a dynamic approach in selecting the paths for the
implementation of our proposed algorithm for the effective road traffic
transportations routing system by providing dynamically changing traffic flow
of information & the historical data using GIS.

We Will Write a Custom Essay Specifically
For You For Only $13.90/page!

order now


Keywords: shortest
path,Geographical Information System,optimal route,real time traffic


1. Introduction



HIS paper gives the
optimal traffic routes for the road traffic using the Geographical Informatiob
Syatem(GIS).The method has been determined for the calculation of shortest path
using the modified Dijikstra’s algorithm with the usage of the fuzzy logic.The
dijikstra’s algorithm is the frequently used shortest path calculating
algorithm  so far.The fuzzy logic is used
with the dijikstra’s algorithm in order to find out the various other paths of
the source node to the destination node to be selected with the various weights
of the paths to be found.  


With the improvement in the
geographic information systems (GIS) technology it is much possible in order to
calculate the fastest & optimized route that can be found with the help of
GIS. This is because a path on a real road network in the city to have the various
different levels of the traffic at different time periods of  the day and it is not at all an easy task to
locate the shortest path. Thus, the fastest & optimal path can only be calculated
in the real time. In some of the cases, the fastest & optimal route has to
be calculated in a various other ways. Whenever the larger area of road
networks are involved in any of the application, the calculation of shortest
paths & optimal path on a larger network can be computationally very tough because
some of the applications are involved are to find the optimal path over the
road networks.

With the help of the geographic
information systems (GIS) and the GPS logs of information needed in the
real-time are dynamic, the changing information have been collected has become
a common practice in many of such applications.The usage of the application of
this paper is to provide that the real-time traffic information of the system
integrated with the historical data are used to develop various routing
strategies in order to provide both the travel time between the source to
destination & the fuel consumption of the travelling cost.This paper is to
develop the new algorithm for to reduce the travelling time and cost between
the every source & destination by providing an optimal routing path .


We therby likes to
propose a fastest & an optimal transportation path routing algorithm called
modified Dijkstra’s algorithm with the fuzzy logic in order to select the
various different routing paths that defines to these conditions. Thus, we present
an approach to provide the implementation of the proposed algorithm to an
optimal road transportation routing system where it will be integrated with GIS
providing real-time traffic flow of information.Thus,we consider getting a
shortest path problem on a road network with the various travel times where the
resultant paths are observed for traffic flow in a dynamical way with the help
of GIS.This proposed algorithm is designed in a manner to provide the optimal fastest
path by using the fuzzy logic in selecting the next shortest path for every
source to the destination.


2.             Related Work


The shortest path problem finding
with the lower or minimal cost and time from a source to a destination is the fundamental
problem in the path finding in a road network.Most of the papers deals with the
finding of the shortest path with the algorithms like Bellmann ford,Dijkstra’s
etc for the traffic routing between source and destination.Our problem is to
find the shortest path with the more optimal algorithms like Dijkstra’s.Many of
the literatures talk about the Dijkstra’s algorithm is best suited for the
shortest path calculation.From the dijkstra’s algorithm,most of the
advantageous parts are obtained for creating this new algorithm called modified
Dijkstra’s algorithm with fuzzy logic for the decision making part of finding
the next shortest destination path to be selected as an optimal route to find
the destination by considering the dynamic traffic flows information and so on.

Traffic congestion can be of two
types Recurring traffic and non-recurring traffic.Recurring traffic is the
place where the traffic occurs all the time and thus they can be easily
predictable.But the non-recurring traffic is the place where the traffic occurs
at sometimes which can not be predictable by most of these systems to provide
the most optimal path slection in between a source and destination.

The development of the
communication has bring the dynamic routing to a reality by providing the
Geographical Positioning System (GPS) for positioning the traffic flows and the
Geographical Information System(GIS) to map the features of the traffic routing

The paper 5 which is the
extended work of the paper 8 to determine the special case where network
taffic status updating is completely available to all the vehicle drivers. The
regular state space compression technique for the dynamic & flexible stochastic
optimal path problems are with real-time traffic information which is provided
to efficiently increase the computational and the implementational processes.
This paper is an extended work of the paper5 and here to determine the
different issues that are combining the vehicle routing with the various
real-time traffic flow informations from Geographical Information System.



The shortest path calculation is
the main problem in the transportation network.Our aim is to create a shortest
path algorithm which is more advantageous than the other algorithms for calculation
of shortest path.This calculation contains various constraints. Some of them
are real-time traffic information that is of the dynamic traffic flows and
time-dependent information that is available.In the dynamic transportation
network, the network can be of dynamic traffic flow of information with the
network path weight changes can be of either deterministic or the stochastic
dynamic network which is dynamic. 

The optimal path problem has been immensely
examined in the literature that this paper 2 gives an modified Dijkstra’s algorithm
is used to calculate the minimum cost for the route in a network which is
static.The paper 3 showed that standard shortest path algorithms (such as
Dijkstra’s algorithm 16) do not find the minimum expected weight path on a
non-stationary or a stochastic network which is dynamic and that the optimal
path chosen can’t be calculated as a simple path but examined based on
constraints.This is why because there are many dynamic parameters which require
constraint-based decision making using the fuzzy logic systems.



The methodology deals with the
various constraints and characteristics of the dynamic traffic flow of the
information like the time dependent traffic flow of information which is
dynamic and the historical informations which are the GPS datasets of the road
traffic information.The methodology is to collect the GPS datasets of the
information from the vehicles which traverse through the various parts of the
city.The routes of the whole city can be noted down for a weeks time. This
traffic information is gathered from the GPS dataset which is noted down with
the timing constraints and it is transformed into a GIS database.From this GIS
database, the traffic flow of information is gathered which is able to detect
the traffic in the peak hours and the weekends where the traffic values are
high and low respectively.

From this GIS database,the shortest
path is calculated with the various clustering techniques and with the proposed
algorithm which is Modified Dijkstra’s algorithm using fuzzy logic is used in
order to detect the traffic route from the source to destination. The
clustering techniques uses the time constraints and the distance of the travel
time of the vehicles and thus the optimal shortest path is calculated with the
modified Dijkstra’s algorithm using fuzzy logic for the decision making

The shortest path calculated from
these techniques and algorithm has to be mapped with the GIS softwares for the
visualization of the results of the specific regions.This methodology provides
us with the optimal traffic route.


GPS datasets

GIS Database

Modified Dijkstra’s

Application of Fuzzy Logic

Route Mapping using

Real time Traffic




















                                                                                                                                                                                                   Fig.Methodology Diagram



5.             Conclusion


This paper gives an approach for providing an optimal routing in
transportation system and that is combined with GIS technology that provides the
real-time changing & dynamic traffic flows.We have observed that when there
are number of paths for the same source to same destination increased with
real-time dynamic traffic flow information, thus finding of an optimal routing
path  for the changing  traffic flows is predictable based on the
decision making process using the fuzzy logic technique..Hence,our algorithm
based on the shortest path calculation has been possible with the modified
Dijkstra’s algorithm with the fuzzy logic.Our conclusion is that real-time
traffic information from GIS  which is incorporated
can significantly reduce expected costs and  usage of the vehicle during times of heavy


6.             Future


Our aim is to work on with the
real-time traffic flow of information to obtain the optimal traffic information
using GIS by dynamically changing values of information.This will be providing
us only with the dynamic time to time varying dependent informations with the
real time traffic flows.This scenario will be created as an application with
the most optimal shortest path.