Smart City and Smart Traffic System
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This paper discusses the benefits and challenges of implementing a smart traffic system in smart cities. It explores how emerging technologies like IoT, machine learning, and cloud architecture can improve traffic management. It also discusses security and vulnerability issues and the role of wireless technology in implementation.
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Running head: SMART CITY AND SMART TRAFFIC SYSTEM
SMART CITY AND SMART TRAFFIC SYSTEM
Name of the Students:
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Author Note:
SMART CITY AND SMART TRAFFIC SYSTEM
Name of the Students:
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SMART CITY AND SMART TRAFFIC SYSTEM
Table of Contents
Introduction......................................................................................................................................2
Discussion........................................................................................................................................2
Benefits of using the emerging technologies in the smart traffic system:...................................3
Availability and scalability of the deployment:...........................................................................5
Security and vulnerability issues:................................................................................................6
Evaluation of the real smart cities with the deployment of the smart traffic system...................7
Responsibilities for the development of the smart cities.............................................................7
Role of wireless in the implementation:......................................................................................8
Conclusion.......................................................................................................................................8
References........................................................................................................................................9
SMART CITY AND SMART TRAFFIC SYSTEM
Table of Contents
Introduction......................................................................................................................................2
Discussion........................................................................................................................................2
Benefits of using the emerging technologies in the smart traffic system:...................................3
Availability and scalability of the deployment:...........................................................................5
Security and vulnerability issues:................................................................................................6
Evaluation of the real smart cities with the deployment of the smart traffic system...................7
Responsibilities for the development of the smart cities.............................................................7
Role of wireless in the implementation:......................................................................................8
Conclusion.......................................................................................................................................8
References........................................................................................................................................9
2
SMART CITY AND SMART TRAFFIC SYSTEM
Introduction
The definition of the smart city can varies in different context. Generally the concept o
the smart city defines that city which operates in a sustainable way. A smart city can use the
advantage of the digital technology to operate the different functions of the city (Zanella et al.
2014). The main driven force of the smart city is the use of the IoT driven technologies for the
application of different operations. One of the most common use of the operation of the smart
city is using the smart traffic system. The smart traffic can be implemented through then use of
the information processing through the different IoT devices. Over the decade the use and
innovation of some advanced technologies like machine learning and the use of the cloud
architecture have made it easy to deploy the use of IoT in different aspect of the application.
With the help of the smart technology and the processing of data effectively the smart
traffic management system will help to manage the flow of the traffic more effectively
(Kanungo, Sharma and Singla 2014). Along with that the real time analysis of the data the traffic
system can provide the people about the information of the status of the road (Djahel et al.
2015). The main objective of this paper is to discuss the different aspects of the smart traffic
system the way that will contribute in the growth of the smart cities. Apart from that , the
advantages and the disadvantages of the smart traffic has been discussed so that the opportunities
and the areas for the improvisation can be identified.
Discussion
The smart traffic system can be implemented in smart cities along with the other cities as
well. The smart city denotes that the functioning of the cities like the transport system and
SMART CITY AND SMART TRAFFIC SYSTEM
Introduction
The definition of the smart city can varies in different context. Generally the concept o
the smart city defines that city which operates in a sustainable way. A smart city can use the
advantage of the digital technology to operate the different functions of the city (Zanella et al.
2014). The main driven force of the smart city is the use of the IoT driven technologies for the
application of different operations. One of the most common use of the operation of the smart
city is using the smart traffic system. The smart traffic can be implemented through then use of
the information processing through the different IoT devices. Over the decade the use and
innovation of some advanced technologies like machine learning and the use of the cloud
architecture have made it easy to deploy the use of IoT in different aspect of the application.
With the help of the smart technology and the processing of data effectively the smart
traffic management system will help to manage the flow of the traffic more effectively
(Kanungo, Sharma and Singla 2014). Along with that the real time analysis of the data the traffic
system can provide the people about the information of the status of the road (Djahel et al.
2015). The main objective of this paper is to discuss the different aspects of the smart traffic
system the way that will contribute in the growth of the smart cities. Apart from that , the
advantages and the disadvantages of the smart traffic has been discussed so that the opportunities
and the areas for the improvisation can be identified.
Discussion
The smart traffic system can be implemented in smart cities along with the other cities as
well. The smart city denotes that the functioning of the cities like the transport system and
3
SMART CITY AND SMART TRAFFIC SYSTEM
different services provided by the municipality of the city is done electronically (Zhuhadar et al.
2017). The man objective of the smart city is to use the advanced technology in the knowledge
and information processing so that the operations can be generated in a sustainable and accurate
way. One of the major application of the smart city is the using of the smart traffic system.
The smart traffic system is the extended and more accurate implementation of the
conventional traffic system. In the conventional traffic system the operations o managing the
traffic are done through the use of the semi manual process. The implementation of the semi
manual process can cause the human error and sometimes leads to the mismanagement of the
traffic flows. Apart from that sometimes signaling system may occur accidents in the
conventional traffic system.
On the other hands the use of the smart traffic system can help to eliminate all these
problems. The main feature of the smart traffic system is that all the operations of the
conventional traffic system are operated by the use of the smart technology (Nandury and
Begum 2015). The technology used in this case is mainly based on the IoT(Internet of things).
The smart traffic comes with the other features which are not directly related to the smart traffic
system, but helps in managing the sustainability of the traffic system in road. One of these
features is the use of the smart parking system.
Benefits of using the emerging technologies in the smart traffic system:
It has been seen that the resources spend for the improvement of the road and the traffic
system only restricted to 33%. The deployment of the new technologies like IoT can improve the
situation of the road and the traffic system. The use of IoT can bring some chances in the
conventional traffic system such as-
SMART CITY AND SMART TRAFFIC SYSTEM
different services provided by the municipality of the city is done electronically (Zhuhadar et al.
2017). The man objective of the smart city is to use the advanced technology in the knowledge
and information processing so that the operations can be generated in a sustainable and accurate
way. One of the major application of the smart city is the using of the smart traffic system.
The smart traffic system is the extended and more accurate implementation of the
conventional traffic system. In the conventional traffic system the operations o managing the
traffic are done through the use of the semi manual process. The implementation of the semi
manual process can cause the human error and sometimes leads to the mismanagement of the
traffic flows. Apart from that sometimes signaling system may occur accidents in the
conventional traffic system.
On the other hands the use of the smart traffic system can help to eliminate all these
problems. The main feature of the smart traffic system is that all the operations of the
conventional traffic system are operated by the use of the smart technology (Nandury and
Begum 2015). The technology used in this case is mainly based on the IoT(Internet of things).
The smart traffic comes with the other features which are not directly related to the smart traffic
system, but helps in managing the sustainability of the traffic system in road. One of these
features is the use of the smart parking system.
Benefits of using the emerging technologies in the smart traffic system:
It has been seen that the resources spend for the improvement of the road and the traffic
system only restricted to 33%. The deployment of the new technologies like IoT can improve the
situation of the road and the traffic system. The use of IoT can bring some chances in the
conventional traffic system such as-
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SMART CITY AND SMART TRAFFIC SYSTEM
Improvement of the signaling system: The automation of the signaling system can be
more accurate with the respect to the application (Li, Cao and Yao 2015). The automated
signaling system can manage the flow of the cars on the basis of the smart decision making
based on the situation of the road and the presence of the humans on the road. The automated
system can be implemented using the machine learning and the use of artificial intelligence. The
decision making process of the traffic control signal system can be base on the smart decision
making algorithm which can detect the flow of the traffic in on the road for the particular time.
The decision making process can be based on the previously collected information by the system
about the condition of the road.
Improvement of the parking system: The advancement of the parking system can be
achieved through the use o the smart car parking system which can be considered as the integral
part of the smart traffic system. The monitoring system of the smart car parking system will
enable to monitor over the parking of the cars in the cities. This will also monitors the violation
of the parking rules in the city and basis on the observation confirms the authority about the
violation . The smart car parking system can be generated the function on the basis of the
individual decision making or, in some cases the decision making process can be handed over the
authority in some complex situation. The smart car parking management system will inform the
people about the possible nearby parking spaces. Apart for that this automated system will help
to reduce the problems regarding the parking space problem. This will also help to reduce the
accidents of the road.
Giving the direction to the people: The smart traffic management system will help
people to know about the conditions of the road. The information includes the situation of the
road and the possible blocks in the parts of the roads. This will help the people and the citizens to
SMART CITY AND SMART TRAFFIC SYSTEM
Improvement of the signaling system: The automation of the signaling system can be
more accurate with the respect to the application (Li, Cao and Yao 2015). The automated
signaling system can manage the flow of the cars on the basis of the smart decision making
based on the situation of the road and the presence of the humans on the road. The automated
system can be implemented using the machine learning and the use of artificial intelligence. The
decision making process of the traffic control signal system can be base on the smart decision
making algorithm which can detect the flow of the traffic in on the road for the particular time.
The decision making process can be based on the previously collected information by the system
about the condition of the road.
Improvement of the parking system: The advancement of the parking system can be
achieved through the use o the smart car parking system which can be considered as the integral
part of the smart traffic system. The monitoring system of the smart car parking system will
enable to monitor over the parking of the cars in the cities. This will also monitors the violation
of the parking rules in the city and basis on the observation confirms the authority about the
violation . The smart car parking system can be generated the function on the basis of the
individual decision making or, in some cases the decision making process can be handed over the
authority in some complex situation. The smart car parking management system will inform the
people about the possible nearby parking spaces. Apart for that this automated system will help
to reduce the problems regarding the parking space problem. This will also help to reduce the
accidents of the road.
Giving the direction to the people: The smart traffic management system will help
people to know about the conditions of the road. The information includes the situation of the
road and the possible blocks in the parts of the roads. This will help the people and the citizens to
5
SMART CITY AND SMART TRAFFIC SYSTEM
know about the conditions of the road apart form that they will avoid the roads with possible
traffic congestion (Moretti et al. 2015). The development of the connection between the smart
traffic system with the cars of the users, so that the smart traffic system can inform them about
taking the shortest route to reach the destination. This will save the time of the users and the
citizens along with that it will provide better traffic management.
Using of the smart speed tracker: Another application of the smart traffic system is the
implementation of the smart speed tracker. The speed tracker is used in the system beside the
road that helps to track the speed of the passing traffics and the vehicles (Kuran et al. 2015). It
has been seen that sometimes cars and vehicles did not follow the permissible speed limit in the
road. The manual observation of the traffic cannot detect the speed of the cars and sometimes the
traffic police miss the cars which were breaking the rule o f the speed limit (Solanki et al. 2016).
The automated tracker of the speed can easily detect the cars which are driven by the users and
the can identify the cars and the vehicles with high speed. This will help to maintain the speed
limits of the cars in the road which eventually helps in the better management of the traffic
system.
Availability and scalability of the deployment: The deployment of the emerging
technology in the implementation of the smart traffic system can be scalable (Misbahuddin et al.
2015). The system can be available for the all time of the day, as the system is digitally
implemented and process the data in automated way (Debnath et al.2014). The performance of
the smart traffic system is scalable as the measurement of the performance can be done by
evaluating the result caused by the deployment of the system. However, the scalability of the
performance can be measured by the performance of the devices used in the smart traffic system
along with that the objectives it is serving to the society.
SMART CITY AND SMART TRAFFIC SYSTEM
know about the conditions of the road apart form that they will avoid the roads with possible
traffic congestion (Moretti et al. 2015). The development of the connection between the smart
traffic system with the cars of the users, so that the smart traffic system can inform them about
taking the shortest route to reach the destination. This will save the time of the users and the
citizens along with that it will provide better traffic management.
Using of the smart speed tracker: Another application of the smart traffic system is the
implementation of the smart speed tracker. The speed tracker is used in the system beside the
road that helps to track the speed of the passing traffics and the vehicles (Kuran et al. 2015). It
has been seen that sometimes cars and vehicles did not follow the permissible speed limit in the
road. The manual observation of the traffic cannot detect the speed of the cars and sometimes the
traffic police miss the cars which were breaking the rule o f the speed limit (Solanki et al. 2016).
The automated tracker of the speed can easily detect the cars which are driven by the users and
the can identify the cars and the vehicles with high speed. This will help to maintain the speed
limits of the cars in the road which eventually helps in the better management of the traffic
system.
Availability and scalability of the deployment: The deployment of the emerging
technology in the implementation of the smart traffic system can be scalable (Misbahuddin et al.
2015). The system can be available for the all time of the day, as the system is digitally
implemented and process the data in automated way (Debnath et al.2014). The performance of
the smart traffic system is scalable as the measurement of the performance can be done by
evaluating the result caused by the deployment of the system. However, the scalability of the
performance can be measured by the performance of the devices used in the smart traffic system
along with that the objectives it is serving to the society.
6
SMART CITY AND SMART TRAFFIC SYSTEM
Security and vulnerability issues:
The smart traffic system is a cyber physical device which enables the managing of the
traffics and then signaling process in the smart city. The components used in the smart traffic and
signaling process are driven by the use of IoT (Albino, Berardi and Dangelico 2015). However
the usage of the smart traffic system has opened up the new vulnerabilities and security threats in
the cyber security world. The components of the smart traffic management system includes
controllers and the control of the traffic light state, sensors to detect the condition of the traffic,
networking for communication between the system and the control centre, malfunction
management unit. The manipulation of one of those components can lead to the threats for the
control of the smart traffic system. Some of the security threats and the vulnerabilities in the
smart traffic control system are-
Controller attacks: The controller of the traffic signals are responsible for controlling the
traffic signals. In the smart traffic management system , the function of the controller is
automated. The light signals are the main target of the controller attacks. The denial of service
attack will allow the intruders to control the traffic signals that can lead to the dangerous state
for the management of the traffic. This can lead to the congestion and the accidents of the cars
and vehicles on the road.
Physical attacks on the system: The traffic signal system are designed to hold the
resiliency in case of the physical system fail. Co-ordinated attacks can be carried out through the
mixture of the physical attacks and cyber attacks. For example, the hardware of the malfunction
management unit ensure that no dangerous traffic light configuration can be processed in the
system. However, the damage of this hardware by the attackers can make a way for the intruders
to control the combination of the traffic lights.
SMART CITY AND SMART TRAFFIC SYSTEM
Security and vulnerability issues:
The smart traffic system is a cyber physical device which enables the managing of the
traffics and then signaling process in the smart city. The components used in the smart traffic and
signaling process are driven by the use of IoT (Albino, Berardi and Dangelico 2015). However
the usage of the smart traffic system has opened up the new vulnerabilities and security threats in
the cyber security world. The components of the smart traffic management system includes
controllers and the control of the traffic light state, sensors to detect the condition of the traffic,
networking for communication between the system and the control centre, malfunction
management unit. The manipulation of one of those components can lead to the threats for the
control of the smart traffic system. Some of the security threats and the vulnerabilities in the
smart traffic control system are-
Controller attacks: The controller of the traffic signals are responsible for controlling the
traffic signals. In the smart traffic management system , the function of the controller is
automated. The light signals are the main target of the controller attacks. The denial of service
attack will allow the intruders to control the traffic signals that can lead to the dangerous state
for the management of the traffic. This can lead to the congestion and the accidents of the cars
and vehicles on the road.
Physical attacks on the system: The traffic signal system are designed to hold the
resiliency in case of the physical system fail. Co-ordinated attacks can be carried out through the
mixture of the physical attacks and cyber attacks. For example, the hardware of the malfunction
management unit ensure that no dangerous traffic light configuration can be processed in the
system. However, the damage of this hardware by the attackers can make a way for the intruders
to control the combination of the traffic lights.
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SMART CITY AND SMART TRAFFIC SYSTEM
Data breaches: The data breaches can also happen in the traffic control system which is
controlled by the emerging technologies (Lau et al. 2015). The user’s vehicle can be connected
with the smart traffic system through the different communication technologies. However, the
attacks in the network can cause the data breaches in this case. The communication between the
cars and the traffic system pass many confidential data such as the position of the cars , the
details of the users of the car and the details of the car. Theses information can be used by the
hackers to exploit the users and the security of the users.
Evaluation of the real smart cities with the deployment of the smart traffic system:
The smart cities are the cities that processes the important information and the tasks using the
digital medium and the advanced technology. This advancement of the operations helps the
smart cities to carry out different functions of the smart cities in an effective manner. The
deployment of the smart signals and the traffic management system will ensure that management
of the traffic will be done in a smart and effective way, which will eventually help the smart city
to achieve its goal.
Responsibilities for the development of the smart cities:
The responsibility of the development of the smart cities are the concern of the
government of the respective country or the region. The government make the granting of the
money for the development of the smart cities. However, the implementation of the smart city
planned by the government can be implemented through the collaboration with the government.
Handling of data and the way of handling the data: Throughout the system, the large
amount of the information is processed in the traffic management system. The components can
processes the previously stored data in order to make the automated decision making (Khatoun,
SMART CITY AND SMART TRAFFIC SYSTEM
Data breaches: The data breaches can also happen in the traffic control system which is
controlled by the emerging technologies (Lau et al. 2015). The user’s vehicle can be connected
with the smart traffic system through the different communication technologies. However, the
attacks in the network can cause the data breaches in this case. The communication between the
cars and the traffic system pass many confidential data such as the position of the cars , the
details of the users of the car and the details of the car. Theses information can be used by the
hackers to exploit the users and the security of the users.
Evaluation of the real smart cities with the deployment of the smart traffic system:
The smart cities are the cities that processes the important information and the tasks using the
digital medium and the advanced technology. This advancement of the operations helps the
smart cities to carry out different functions of the smart cities in an effective manner. The
deployment of the smart signals and the traffic management system will ensure that management
of the traffic will be done in a smart and effective way, which will eventually help the smart city
to achieve its goal.
Responsibilities for the development of the smart cities:
The responsibility of the development of the smart cities are the concern of the
government of the respective country or the region. The government make the granting of the
money for the development of the smart cities. However, the implementation of the smart city
planned by the government can be implemented through the collaboration with the government.
Handling of data and the way of handling the data: Throughout the system, the large
amount of the information is processed in the traffic management system. The components can
processes the previously stored data in order to make the automated decision making (Khatoun,
8
SMART CITY AND SMART TRAFFIC SYSTEM
and Zeadally 2016). The large amount of the information can be processes through the usage of
the big data and the analysis of the data can be done by the different software that allows the
processing of the data and managing of the data (Bohli et al.2015). The storing of the data can be
done using the cloud server. However, However, certain security is implemented for the data
security in the system.
Role of wireless in the implementation: The wireless technology plays an important
role in the implementation of the smart city and the smart traffic system (Al Nuaimi et al. 2015).
The connection between the different components along with the connection centers can be
managed through the deployment of the wireless network or the smart implementation of the wi-
fi.
In this case, the wifi connectivity can be used and deployment of the LAN can be done in
the controlling centers.
Conclusion
It can be concluded from the above discussion that the smart traffic system can be
deployed in the smart cities. The effectiveness of the smart cities can be enhanced with the use of
the smart traffic system. However there are some security issues present in the smart traffic
system. Different techniques can be implemented to mitigate those risks. The mitigate of the
security risks will help the smart traffic system to become more sustainable in nature. Apart
from that there are certain advancement present in the smart traffic system those will help to
reduce the congestion of the traffic on the road along with that it will [provide the better
management of the traffic system.
SMART CITY AND SMART TRAFFIC SYSTEM
and Zeadally 2016). The large amount of the information can be processes through the usage of
the big data and the analysis of the data can be done by the different software that allows the
processing of the data and managing of the data (Bohli et al.2015). The storing of the data can be
done using the cloud server. However, However, certain security is implemented for the data
security in the system.
Role of wireless in the implementation: The wireless technology plays an important
role in the implementation of the smart city and the smart traffic system (Al Nuaimi et al. 2015).
The connection between the different components along with the connection centers can be
managed through the deployment of the wireless network or the smart implementation of the wi-
fi.
In this case, the wifi connectivity can be used and deployment of the LAN can be done in
the controlling centers.
Conclusion
It can be concluded from the above discussion that the smart traffic system can be
deployed in the smart cities. The effectiveness of the smart cities can be enhanced with the use of
the smart traffic system. However there are some security issues present in the smart traffic
system. Different techniques can be implemented to mitigate those risks. The mitigate of the
security risks will help the smart traffic system to become more sustainable in nature. Apart
from that there are certain advancement present in the smart traffic system those will help to
reduce the congestion of the traffic on the road along with that it will [provide the better
management of the traffic system.
9
SMART CITY AND SMART TRAFFIC SYSTEM
References
Al Nuaimi, E., Al Neyadi, H., Mohamed, N. and Al-Jaroodi, J., 2015. Applications of big data to
smart cities. Journal of Internet Services and Applications, 6(1), p.25.
Albino, V., Berardi, U. and Dangelico, R.M., 2015. Smart cities: Definitions, dimensions,
performance, and initiatives. Journal of Urban Technology, 22(1), pp.3-21.
Bohli, J.M., Skarmeta, A., Moreno, M.V., García, D. and Langendörfer, P., 2015, April.
SMARTIE project: Secure IoT data management for smart cities. In Recent Advances in Internet
of Things (RIoT), 2015 International Conference on(pp. 1-6). IEEE.
Debnath, A.K., Chin, H.C., Haque, M.M. and Yuen, B., 2014. A methodological framework for
benchmarking smart transport cities. Cities, 37, pp.47-56.
Djahel, S., Doolan, R., Muntean, G.M. and Murphy, J., 2015. A communications-oriented
perspective on traffic management systems for smart cities: Challenges and innovative
approaches. IEEE Communications Surveys & Tutorials, 17(1), pp.125-151.
ging ensemble hybrid modeling. Neurocomputing, 167, pp.3-7.
Kanungo, A., Sharma, A. and Singla, C., 2014, March. Smart traffic lights switching and traffic
density calculation using video processing. In Engineering and computational sciences (RAECS),
2014 recent advances in (pp. 1-6). IEEE.
Khatoun, R. and Zeadally, S., 2016. Smart cities: concepts, architectures, research
opportunities. Communications of the ACM, 59(8), pp.46-57.
SMART CITY AND SMART TRAFFIC SYSTEM
References
Al Nuaimi, E., Al Neyadi, H., Mohamed, N. and Al-Jaroodi, J., 2015. Applications of big data to
smart cities. Journal of Internet Services and Applications, 6(1), p.25.
Albino, V., Berardi, U. and Dangelico, R.M., 2015. Smart cities: Definitions, dimensions,
performance, and initiatives. Journal of Urban Technology, 22(1), pp.3-21.
Bohli, J.M., Skarmeta, A., Moreno, M.V., García, D. and Langendörfer, P., 2015, April.
SMARTIE project: Secure IoT data management for smart cities. In Recent Advances in Internet
of Things (RIoT), 2015 International Conference on(pp. 1-6). IEEE.
Debnath, A.K., Chin, H.C., Haque, M.M. and Yuen, B., 2014. A methodological framework for
benchmarking smart transport cities. Cities, 37, pp.47-56.
Djahel, S., Doolan, R., Muntean, G.M. and Murphy, J., 2015. A communications-oriented
perspective on traffic management systems for smart cities: Challenges and innovative
approaches. IEEE Communications Surveys & Tutorials, 17(1), pp.125-151.
ging ensemble hybrid modeling. Neurocomputing, 167, pp.3-7.
Kanungo, A., Sharma, A. and Singla, C., 2014, March. Smart traffic lights switching and traffic
density calculation using video processing. In Engineering and computational sciences (RAECS),
2014 recent advances in (pp. 1-6). IEEE.
Khatoun, R. and Zeadally, S., 2016. Smart cities: concepts, architectures, research
opportunities. Communications of the ACM, 59(8), pp.46-57.
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10
SMART CITY AND SMART TRAFFIC SYSTEM
Kuran, M.Ş., Viana, A.C., Iannone, L., Kofman, D., Mermoud, G. and Vasseur, J.P., 2015. A
smart parking lot management system for scheduling the recharging of electric vehicles. IEEE
Transactions on Smart Grid, 6(6), pp.2942-2953.
Lau, S.P., Merrett, G.V., Weddell, A.S. and White, N.M., 2015. A traffic-aware street lighting
scheme for Smart Cities using autonomous networked sensors. Computers & Electrical
Engineering, 45, pp.192-207.
Li, D., Cao, J. and Yao, Y., 2015. Big data in smart cities. Science China Information
Sciences, 58(10), pp.1-12.
Misbahuddin, S., Zubairi, J.A., Saggaf, A., Basuni, J., Sulaiman, A. and Al-Sofi, A., 2015,
December. IoT based dynamic road traffic management for smart cities. In High-Capacity
Optical Networks and Enabling/Emerging Technologies (HONET), 2015 12th International
Conference on (pp. 1-5). IEEE.
Moretti, F., Pizzuti, S., Panzieri, S. and Annunziato, M., 2015. Urban traffic flow forecasting
through statistical and neural network bag
Nandury, S.V. and Begum, B.A., 2015, August. Smart WSN-based ubiquitous architecture for
smart cities. In Advances in Computing, Communications and Informatics (ICACCI), 2015
International Conference on (pp. 2366-2373). IEEE.
Solanki, V.K., Katiyar, S., BhashkarSemwal, V., Dewan, P., Venkatasen, M. and Dey, N., 2016.
Advanced automated module for smart and secure city. Procedia Computer Science, 78, pp.367-
374.
SMART CITY AND SMART TRAFFIC SYSTEM
Kuran, M.Ş., Viana, A.C., Iannone, L., Kofman, D., Mermoud, G. and Vasseur, J.P., 2015. A
smart parking lot management system for scheduling the recharging of electric vehicles. IEEE
Transactions on Smart Grid, 6(6), pp.2942-2953.
Lau, S.P., Merrett, G.V., Weddell, A.S. and White, N.M., 2015. A traffic-aware street lighting
scheme for Smart Cities using autonomous networked sensors. Computers & Electrical
Engineering, 45, pp.192-207.
Li, D., Cao, J. and Yao, Y., 2015. Big data in smart cities. Science China Information
Sciences, 58(10), pp.1-12.
Misbahuddin, S., Zubairi, J.A., Saggaf, A., Basuni, J., Sulaiman, A. and Al-Sofi, A., 2015,
December. IoT based dynamic road traffic management for smart cities. In High-Capacity
Optical Networks and Enabling/Emerging Technologies (HONET), 2015 12th International
Conference on (pp. 1-5). IEEE.
Moretti, F., Pizzuti, S., Panzieri, S. and Annunziato, M., 2015. Urban traffic flow forecasting
through statistical and neural network bag
Nandury, S.V. and Begum, B.A., 2015, August. Smart WSN-based ubiquitous architecture for
smart cities. In Advances in Computing, Communications and Informatics (ICACCI), 2015
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SMART CITY AND SMART TRAFFIC SYSTEM
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Zhuhadar, L., Thrasher, E., Marklin, S. and de Pablos, P.O., 2017. The next wave of innovation
—Review of smart cities intelligent operation systems. Computers in Human Behavior, 66,
pp.273-281. Zhuhadar, L., Thrasher, E., Marklin, S. and de Pablos, P.O., 2017. The next wave of
innovation—Review of smart cities intelligent operation systems. Computers in Human
Behavior, 66, pp.273-281.
SMART CITY AND SMART TRAFFIC SYSTEM
Zanella, A., Bui, N., Castellani, A., Vangelista, L. and Zorzi, M., 2014. Internet of things for
smart cities. IEEE Internet of Things journal, 1(1), pp.22-32.
Zhuhadar, L., Thrasher, E., Marklin, S. and de Pablos, P.O., 2017. The next wave of innovation
—Review of smart cities intelligent operation systems. Computers in Human Behavior, 66,
pp.273-281. Zhuhadar, L., Thrasher, E., Marklin, S. and de Pablos, P.O., 2017. The next wave of
innovation—Review of smart cities intelligent operation systems. Computers in Human
Behavior, 66, pp.273-281.
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