You are on page 1of 4

Volume 3, Issue 2, February – 2018 International Journal of Innovative Science and Research Technology

ISSN No:-2456 –2165

E-Logistic System
Heena Mohd. Ashraf Gigani , Usman Gani M.H Kadariya , Imran Mukhtar Ahmed Shaikh , Mohid Mahmood Kazi ,
Prof. Javed Khan Sheikh
Department of Computer Engineering,
Anjuman-I-Islam’s Kalsekar Technical Campus University of Mumbai.

Abstract—In most of the cities, the transportation In this paper, we propose an online E-Logistic system, through
industry is highly regulated and utilizes the traditional which transportation of goods became straightforward, hassle
techniques. However, people faces many problems such as free and effortless for the user and for transportation
searching for the vehicle as per their requirement which management also. By this online system, a user can search for
results wastage of time as well as it is hectic. The purpose the vehicle as per their requirement and by entering source and
of our project is to build E-Logistics, an online system for destination they can view the estimated amount of time,
the customers where they can search for the appropriate distance and cost also. The main thing here is user can lively
vehicle and book them for their goods transportation with track their ride of goods. If the user is satisfied, then the ride is
live updates. The system will estimate the cost via instantly booked, an invoice is being generated and a
algorithm, the required amount of time between the source notification is being provoked to them. Driver picks up the
and destination is calculated using Algorithm, optimal goods from source location and dispatches them to the
route is selected and tracking of goods carrying vehicle is destination.
done through Google Map’s API. So through our system
customer can easily search for the vehicle within his/her II. OBJECTIVE AND SCOPE
nearby source location as per the requirement and can get
live updates that assures for delivery of goods. The purpose of our project is to build E-Logistics, an online
system for the customers where they can search for the
Keywords—Booking, Driver, E-Logistics, Google API, Live appropriate vehicle and book them for their goods
Tracking. transportation with live updates. The system will estimate the
cost, the required amount of time between the source and
I. INTRODUCTION destination is calculated, optimal route is selected and
tracking of goods carrying vehicle is done.
In traditional transportation approach, if a user wants to
transport the goods, he/she needs to go to the transport office
and has to enquire about the vehicle, cost. If he/she is satisfied It can be expanded further by building a Chabot for customer
with the amount of ride and vehicle, he has to do the payment. assistance which would be available 24*7.Android
Driver of transportation then picks up the good from source application can be built for more feasibility.
and delivers it to the destination within appropriate amount of
time. Here the user can’t track the good’s location as there is It can be made for inter cities transportation as of now it is
no online system or portal for it. All the drivers and user’s only intra city.People who wants to invest can put their new
information, goods record, vehicles record are not in a trucks in this system and can earn or have profit easily by
systematic manner nor a database is being managed. Even doing one time investment.
transportation done in a day or in a week or in a month can’t
be estimated efficiently. Increase in the employment of the truck drivers as they can
get more and more calls for the goods transportation.
So by considering all these stuffs and the hectic which the user
suffers from as well as the transportation management system,
it became mandatory that there should be an online system for
ease and proper management.

IJISRT18FB140 www.ijisrt.com 319


Volume 3, Issue 2, February – 2018 International Journal of Innovative Science and Research Technology
ISSN No:-2456 –2165

III. WORKING OF PROJECT estimated time for the vehicle to reach the source, once the
good is loaded and moves towards the destination, the user can
The user i.e customer signs-up in the system. After sign-in live track the movement of the vehicle. Once the vehicle
user inputs the source, destination and weight of the goods reaches the destination, the user can will have to pay charges
which is to be delivered. After submitting the values, user gets of the service online or by cash.
the estimated time, estimated cost, optimal path and vehicle
according to the weight for the delivery. Once user confirms IV. PROPOSED SYSTEM AND MODULES
the booking, driver is assigned to that particular us he gets the

A. System Architecture

Fig. 1: System Architecture

IJISRT18FB140 www.ijisrt.com 320


Volume 3, Issue 2, February – 2018 International Journal of Innovative Science and Research Technology
ISSN No:-2456 –2165

B. Modules system or can update the system. Whole the responsibilities of


the system is on the shoulder of admin.
a). Login
b). Booking
• User Login
User enters his credentials or registers himself if he is new to After entering source and destination and getting trip
the system. Once entered, he will be logged in to the system estimation if user wishes to book the vehicle then he confirms
and will be able to book transport vehicle. Without getting log the booking. As the trip is confirmed, the driver is assigned, he
in, no user can book the trip. After logging, user would be able takes the luggage from source and delivers it to mentioned
to book the trip. destination. All this booking information is stored in the
database. After booking, payment mode is being chosen by the
• Driver Login user. Invoice is being generated and Booking Id is assigned to
Driver logs in to the system with his driver id to get connected the user through which further he would be recognized.
with the system. If the driver ison duty, he has to logs in with
his driver’s id and can get out of the system by logging out. As c). Location Tracker
some user confirms the booking, particular driver is being
Tracking of goods carrying vehicle is done by the user using
assigned to them. Once the user is connected, he is available to
Google Map’s API. Through this, the best optimal route,
take the orders for deliveries.
distance, time is being calculated and live tracking of vehicle
• Admin Login is shown.
Admin will login to check the whole status of the system.
He/she can remotely access the system and can view the d). Driver
system. Assigns the duty or assigns the trip to the driver as the
After the confirmation of trip by the user, particular driver is
user books. Estimates the total cost for the day and can
being assigned to that user’s luggage. Driver takes the luggage
analyses his/her profit. After analyzing , can change the
from the source location and dispatches it to the destination.
on and dispatches it to the destination.

C. Diagram

Fig. 2 Use-case Diagram

IJISRT18FB140 www.ijisrt.com 321


Volume 3, Issue 2, February – 2018 International Journal of Innovative Science and Research Technology
ISSN No:-2456 –2165

V. CONCLUSION McLean, VA, Rep. FHWA-RD-98-057-2.


[13]. Deqi, H., Xiumin, C., &Zhe, M., (2012) A
So through our system, customer can easily search for the Simulation Framework for Emergency Response of
transport vehicle within his/hernearby source location, that Highway Traffic Accident. Procedia Engineering 29,
will save customer’s ample amount of time. Customer can 1075 – 1080.
search the vehicle by its size and capacity of goods, if
customer want to transport less goods then it will go for small
vehicle, its cost will be less then the big size vehicle which
ultimately saves money of customer. Also user can get live
updates about the vehicle, that assures safe delivery of goods.

REFERENCES

[1]. Bhupendra Singh1; Ankit Gupta2 (Apr. 2015) ‘Recent


Trends in intelligence transportation systems: a review’1
IIT Roorkee, Roorkee, Uttarakhand, India 2 IIT, BHU,
Varanasi, India
[2]. Judd Cramer Alan B. Krueger(March 2016)’Disruptive
change in the Taxi Business: The Case of Uber’ 1050
Massachusetts Avenue Cambridge, MA 02138.
[3]. Website: www.porter.in
[4]. Farber, Henry S. “Why You Can’t Find a Taxi in the Rain
and Other Labor Supply Lessons from Cab Drivers,” The
Quarterly Journal of Economics 130(4): 1781-1824, 2015.
[5]. Guillaume Frechette, Alessandro Lizzeri, and Tobias
Salz. “Frictions in a Competitive, Regulated Market:
Evidence from Taxis,” New York University, August 10,
2015. Available at
http://www.econ.nyu.edu/user/lizzeria/draft_071015.pdf
[6]. Jonathan Hall, and Alan Krueger. “An Analysis of the
Labor Market for Uber’s Driver-Partners in the United
States,” Princeton University Industrial Relations Section
Working Paper No. 587, January 2015.
[7]. Leah-Martin, Vincent. “When to Quit: Narrow Bracketing
and Reference Dependence in Taxi Drivers,” Working
Paper University of California San Diego, 2015.
[8]. Licensing on the Labor Market. Journal of Labor
Economics 31(Suppl. 1): S173-202, 2013.
[9]. Nelson/Nygaard (with Taxi Research Partners). “Taxi
Consultant Report,” City of Boston, October 11, 2013.
Available at
http://www.cityofboston.gov/mayor/pdfs/bostaxiconsultan
t.pdf
[10]. Soper, Taylor. “The Uber effect: Seattle taxi industry
revenue dipped 28% in past 2 years,” GeekWire, June 11,
2015. Available at http://www.geekwire.com/2015/the-
uber-effect-seattle-taxi-industry-revenue-dipped-28-in-
past-two-years/
[11]. Balaji, P. G., &Srinivasan D. (2011). Type-2 Fuzzy
Logic Based Urban Traffic Management. Engineering
Applications of Artificial Intelligence, 24, 12–22.
[12]. Campbell, J. L., Carney, C., &Kantowitz, B. H.
(2003). Human Factors Design Guidelines for Advanced
Traveler Information Systems (ATIS) and Commercial
Vehicle Operation (CVO).Federal Highway Admin.,

IJISRT18FB140 www.ijisrt.com 322

You might also like