=Paper=
{{Paper
|id=Vol-3080/paper5
|storemode=property
|title=A novel Smart Transportation based framework interlinking the advancements in Technology and System Engineering
|pdfUrl=https://ceur-ws.org/Vol-3080/5.pdf
|volume=Vol-3080
|authors=Anshul Gupta,Sunil K. Singh,Arpan Gupta
}}
==A novel Smart Transportation based framework interlinking the advancements in Technology and System Engineering==
https://ceur-ws.org/Vol-3080/5.pdf
A novel Smart Transportation based framework
interlinking the advancements in Technology and
System Engineering
Anshul Gupta1 , Sunil K. Singh1 and Arpan Gupta2,3
1
Chandigarh College of Engineering and Technology, Chandigarh, India
2
Chitkara University, Rajpura, Punjab, India
3
Evive Software Analytics Pvt. Ltd., Bangalore, India
Abstract
Everything and everyone is growing smarter day-by-day, from a small kid to an entire nation. The
current research incorporates a thorough study on intelligent transportation, keeping the former view in
mind. It briefly highlights the need for an efficient transport system in India and analyses what factors
lead to the need for more efficient transport systems in the making of a smart city. With the current
tech-savvy society, it has become necessary to propose such a system that can not only benefit society
but also the environment, as the current emission of harmful gases has been outnumbered by excessive
traffic more than any other source. Next, the research proposes a novel framework that links three
different subsystems, each with its own functionality, for a new and efficient method of transport. While
describing the proposed approach, the paper discusses the need for society and the government to be
a pivotal factor in supporting and maintaining such frameworks to increase the safety, security, and
wellbeing of every vehicle driver.
Keywords
Smart Transport, Smart City, Artificial Intelligence, IoT, Technology, Data Science CEUR-WS
1. Introduction
A ’Smart City’, as the name suggests, uses technology to provide intelligent and quickly re-
sponsive support to the needs of the city, further contributing to the growth of a nation and
the development of the country as a whole [1]. In complex social ecosystems of metropolitan
areas, preserving sustainable growth and standard of living are major problems. Currently,
cities have become more familiar with the idea of "smart city" or better, the "city of the future"
and many are even exploring ways of becoming "competent" and effectively managing local
services whilst solving growth as well as diversity concerns. In a developing country like
India, such a concept would not have been possible a decade ago. With a rapid increase in
advancements of technology and quality engineering, it has become possible to suggest and
incorporate the technologies for future betterment. Figure 1 illustrates the various things that
make up a smart city. It includes variable factors such as vehicles and drivers, and fixed factors
International Conference on Smart Systems and Advanced Computing (Syscom-2021), December 25–26, 2021
$ anshulg954@outlook.com (A. Gupta); sksingh@ccet.ac.in (S. K. Singh); arpangupta81@gmail.com (A. Gupta)
0000-0003-0408-4072 (A. Gupta); 0000-0003-4876-7190 (S. K. Singh)
© 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
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like roads, area, and infrastructure. According to an initial study that the authors performed,
Figure 1: Components of a Smart City
smart transportation can further be divided into four different aspects that include:
1. Area
2. Population
3. Society
4. Technology
In the above-enumerated points, "area" refers to the area of the city/state/country where the
work will take place. This area is a fixed parameter that needs to be utilised smartly and in a
more compact manner. Secondly, in a country like ours, where the growth rate is high with a
constant area, the role of smart transport, however formidable, is in high demand due to an
increasing population.
The remaining article is as follows: Section 2 provides insights into current works existing in
developing smart transportation systems. Section 3 briefly discusses the role of transportation in
smart cities. The proposed framework with subsystems is discussed in Section 4. Next, Section
5 discusses the opportunities and challenges in the implementation of intelligent transportation
while Section 6 concludes the paper.
2. Literary Work
Several papers [2], [3], [4], [5][6] have been published in order to foster an investigation into
frameworks to break down and improve the Smart Vehicular Traffic Management Framework
[7]. The study in [8] ponders an advanced traffic signal framework using a genetic algorithm
utilising stochastic information post-processing to show up as a sophisticated vehicle framework.
Once all the information is processed and each traffic signal is programmed, the total for each
course is determined to track down the ideal state. It assists to observe the ideal state, where the
most extreme vehicles are able to manoeuvre with the proposed traffic signals, depending on
the course length and normal speed of the vehicle. The authors in [9] give a model of a vehicle
equipped for collaborating with other side of the road vehicles and with inward electronic
gadgets, which also shows how the relevance of digital media [10] has increased so far. The
model additionally indicates the different parts taken on in the proposed onboard unit. This
additionally gives different applications that could apply this strategy for efficient tasks.
Research in [11] proposes another framework that coordinates the Internet of Things with
the proposed advanced transportation framework in order to provide better transportation,
but excellent wireless connectivity [12] is required for the same. The framework in [13], [14]
utilises the sensors to screen the climate, which is then utilised by the observing framework to
illuminate the drivers in regards to the situating of the gadget and subtleties relating to it.
Accordingly, this data can be productively used to control vehicle traffic but requires high
performance computing [15], [16]. All signs from advanced camcorders are sent to focal
frameworks that break down traffic streams. As of now, the measurable in-line information is
gathered in the genuine working items where camcorders with programming support are linked
so they can perceive vehicles and their permit figures. At the point when this data is gathered, it
is feasible to assess the effectiveness of the data gathering subsystem exhaustively [17]. Overall,
every research [17], [18], [19] [20], [21], [22], [23][24] in one way or the other suggests that the
development in technology aids in demonstrating frameworks with high adaptability.
3. Role of Transport in Smart City
In India, the Smart Cities Mission represents a pioneering initiative that will spur economic de-
velopment and improve people’s quality of life by stimulating local development and leveraging
technology as a means to create smart outcomes for citizens, including better public transport
services, one of the key infrastructure elements of smart cities. Smart transport is a pivotal
factor in establishing the concept of a smart city. To further improve the well-being of the people
and the environment, society can act as an impactful factor in present-day transport systems by
proactively maintaining legislation. Lastly, the word "smart" itself shows the significance of
technology, the role it plays, and its relationship to smart transportation.
4. Proposed Intelligent Transport Framework
The proposed framework is a part of existing subsystems, making use of different concepts,
technologies, and subsystems as discussed in the following subsections:
4.1. Subsystem 1
Figure 2 depicts Subsystem 1.The actor is an individual who wishes to drive the vehicle and
has all the necessary information in the form of a card or other means. Now these details
will be passed onto an authenticator, who checks whether the details of the actor are valid for
travel or not. The Details DB will carry all the information about the trip with input from the
authenticated actor of the destination. The Authenticator will be an IoT device [25, 26] that
can fetch and match the details provided by the actor with the true details in the Transport
Department.
Figure 2: Subsystem 1 of the proposed Intelligent Transport System
4.2. Subsystem 2
Subsystem 2 depicted in Figure 3 is a regulation and monitoring subsystem. First, it will focus
on the regulatory measures depending on the vehicle details, primarily the type of vehicle,
being input from the Details DB. These regulatory measures are those which are set by the
respective Transport Department of the city, and will include things such as the speed limit of
45kmph for two-wheelers and 60kmph for four-wheelers in Chandigarh, India. Based on the
actor’s response to these regulatory details during the trip, it will send the response as after
ride details to the monitoring system. The monitoring system will now check for the defaulters
of regulatory measures, attaching a tag of defaulter or non-defaulter to it with the after-ride
details and, in return, sending it as a report to the Details DB.
4.3. Subsystem 3
The subsystem 3 depicted in Figure 4 is responsible for end-user benefit and conveyance. It
fetches the report from the Details DB, which is passed on to the actor as a response to having
the details of the last travel with every fault and warning. On the other hand, the report is also
provided to the data-analysis mechanism, which will be required to access the defaulters and
non-defaulters. Based on the data analysis performed by this subsystem, potential candidates
for incentives can be found, which can be awarded through the incentive mechanism by the
respective transport department after a travel of a certain number of kilometres or so.
5. Opportunities and Challenges
The subsystems shown in the previous system are an abstract representation of what the
complete system will look like. For different phases of evaluation, these subsystems will arouse
Figure 3: Subsystem 2 of the proposed Intelligent Transport System
Figure 4: Subsystem 3 of the proposed Intelligent Transport System
further opportunities in the domains of artificial intelligence, data engineering, IoT, etc. It is
true that efficient traffic and transport systems have been the need of the hour for smart cities
for a long time now. This implies that if a proposed system like the one suggested in the paper,
with a non-abstract design, is implemented, it could lead to the world’s finest transport system.
Indeed, the obstacles are high – whether it is the infrastructure, the number of vehicles, or the
growing population – but it is in our hands to propose such changes to the existing system and
in the hands of the government to implement them, so that there is a reduction in not only
traffic but also other environmental effects with a regular check on the vehicles via smart cards
with IoT features.The same, if utilised to the benefit of the general public, can help improvise
the concept of a smart city and thereby build a smart nation afterward.
6. Conclusion
The market for transportation systems is profoundly encouraging for society [27]. As the
transportation frameworks for brilliant urban communities are being used all throughout the
planet, people can start to procure the numerous security, effectiveness, and money-saving
advantages that accompany the present-day public vehicle. It is energising to ponder how
society may associate their urban communities with the most recent innovations that are
opening up today. The future work of this research will focus on the details and less abstraction
of the proposed subsystems of the stated framework and is in continuation of the stated work.
Truly, a high-performance computing back-end infrastructure is required to implement the
proposed autonomous system with an end-to-end flow of development for millions of vehicles,
but it is perfectly possible to be implemented with available and in-hand resources.
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