University ITS Report: Development of Intelligent Transport System
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This report provides a comprehensive overview of the development of Intelligent Transport Systems (ITS). It begins with a literature review, exploring the current state of ITS, the impact of public transport, and the integration of various technologies like sensors, IoT, and cloud computing. The literature review examines the role of IoT-enabled cars, security monitoring, incident management systems, and the development of connected and automated vehicles. The report then details the research methodology, including the research onion, philosophy (positivism and realism), and approach (deductive). It outlines the research design (descriptive), data collection procedures, and data analysis techniques. The report emphasizes the importance of vehicular communication and advanced driver assistance systems in improving traffic management, safety, and efficiency. The report explores how these systems integrate machine intelligence and driver operations to achieve automated, cooperative traffic flow and mitigate accidents. The study employs a descriptive design, utilizing secondary data and qualitative data analysis to provide a detailed examination of ITS development and its implications. The report concludes by highlighting the challenges and opportunities in the evolving landscape of ITS and vehicular communication.

Running head: DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
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DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
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1DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
Table of Contents
1.0 Literature Review.....................................................................................................2
2.0 Methodology............................................................................................................5
3.0 References................................................................................................................6
Table of Contents
1.0 Literature Review.....................................................................................................2
2.0 Methodology............................................................................................................5
3.0 References................................................................................................................6

2DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
1.0 Literature Review
According to [1], the significant usage of the public transport in has created an
upsurge in respect to the different issues related to traffic systems. The article provides an
effective knowledge with respect to the usage of the innovative transformation systems that
are associated with the fact of maintaining the transport systems effectively. The usage of the
potential information systems with respect to the different sectors of the transport unleashes
the effective maintenance of the overall transport management. The effective knowledge of
the information systems is associated with the different aspect of the tools as well as
techniques that are associated with the smart and intelligent transport systems. The significant
usage of the sensors as well as the integration of the smart phones are effectively managed in
respect to the maintenance of the transport systems. The information as adhered by the
overall maintenance of the different systems within the environment of the transport enhances
the usage of the different information systems that relies the overall pressure in accordance to
the management of the traffic as well as the number of vehicles associated within this field.
The increase in the number of vehicles in many countries intends the overall traffic
management of the specified country to deal with the implementation of the different
information systems associated with the transportation system.
As per [9] the effective usage of the different sensor as well as cloud based
information systems is useful with respect to the management of the overall transport
systems. The effective usage of the different aspects related to the management of the
information systems are analysed to be effective in accordance to the management of the
different transport systems. The IoT based wireless cameras effectively deals with the
collection as well as analysis of the overall data associated with the ongoing transport within
a country. Moreover, these information systems focus on different emergencies like accidents
1.0 Literature Review
According to [1], the significant usage of the public transport in has created an
upsurge in respect to the different issues related to traffic systems. The article provides an
effective knowledge with respect to the usage of the innovative transformation systems that
are associated with the fact of maintaining the transport systems effectively. The usage of the
potential information systems with respect to the different sectors of the transport unleashes
the effective maintenance of the overall transport management. The effective knowledge of
the information systems is associated with the different aspect of the tools as well as
techniques that are associated with the smart and intelligent transport systems. The significant
usage of the sensors as well as the integration of the smart phones are effectively managed in
respect to the maintenance of the transport systems. The information as adhered by the
overall maintenance of the different systems within the environment of the transport enhances
the usage of the different information systems that relies the overall pressure in accordance to
the management of the traffic as well as the number of vehicles associated within this field.
The increase in the number of vehicles in many countries intends the overall traffic
management of the specified country to deal with the implementation of the different
information systems associated with the transportation system.
As per [9] the effective usage of the different sensor as well as cloud based
information systems is useful with respect to the management of the overall transport
systems. The effective usage of the different aspects related to the management of the
information systems are analysed to be effective in accordance to the management of the
different transport systems. The IoT based wireless cameras effectively deals with the
collection as well as analysis of the overall data associated with the ongoing transport within
a country. Moreover, these information systems focus on different emergencies like accidents
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3DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
that brings out the concept of emergency responses [3]. The usage of the cloud computing
services is important aspect with respect to the collection of the data thus adhering the
concept of the different transport systems. The significant usage of the IoT based wireless
cameras are noteworthy within the different sectors of the article. Thus, the overall article is
helpful for developing intelligent transport systems within the environment of a country.
According to [12] the significant usage of the different IoT, enabled cars are analysed
to be effective in respect to the maintenance of the effective transport management within a
country. The effective usage of the IoT technology within the cars as well as the usage of the
various wireless sensors to be effective in respect to the development of the intelligent traffic
systems. The IoT enabled traffic systems are analysed to be effective in respect to the
different aspects related with the intelligent traffic systems.
As stated by [3], security monitoring and incident management system has become as
one of the main area of research for intelligent transport system. An explanation has been
provided for various issues related to an intelligent transport management system. All the list
of details for issues and task for information security and management system, which is
needed by intelligent control system. The author discusses Russian intelligent railway
information system that focus development and deployment of multi-level intelligent control
system. With respect to international standard for development of automated interface in
between control system and enterprises [12]. The overall structure of industrial enterprises is
mainly divided into four parts that is business intelligent, enterprises resource planning,
manufacturing execution system and supervisory control. Most of the components based on
multilevel architecture is completely based on domain-oriented platform of software.
Accoridng to [6], the platform aims to provide MES (manufacturing executive
system) level component for multi-agent software for different sensor and actuators. The
that brings out the concept of emergency responses [3]. The usage of the cloud computing
services is important aspect with respect to the collection of the data thus adhering the
concept of the different transport systems. The significant usage of the IoT based wireless
cameras are noteworthy within the different sectors of the article. Thus, the overall article is
helpful for developing intelligent transport systems within the environment of a country.
According to [12] the significant usage of the different IoT, enabled cars are analysed
to be effective in respect to the maintenance of the effective transport management within a
country. The effective usage of the IoT technology within the cars as well as the usage of the
various wireless sensors to be effective in respect to the development of the intelligent traffic
systems. The IoT enabled traffic systems are analysed to be effective in respect to the
different aspects related with the intelligent traffic systems.
As stated by [3], security monitoring and incident management system has become as
one of the main area of research for intelligent transport system. An explanation has been
provided for various issues related to an intelligent transport management system. All the list
of details for issues and task for information security and management system, which is
needed by intelligent control system. The author discusses Russian intelligent railway
information system that focus development and deployment of multi-level intelligent control
system. With respect to international standard for development of automated interface in
between control system and enterprises [12]. The overall structure of industrial enterprises is
mainly divided into four parts that is business intelligent, enterprises resource planning,
manufacturing execution system and supervisory control. Most of the components based on
multilevel architecture is completely based on domain-oriented platform of software.
Accoridng to [6], the platform aims to provide MES (manufacturing executive
system) level component for multi-agent software for different sensor and actuators. The
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4DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
application oriented section of MICS starts with the domain ontology. This particular
approach is needed for creating system for continuous adaption and scaling. The author
highlights the elements of security incident that can be implemented. The biggest issue,
which is being encountered, is during the implementation of cyber and physical attacks for
resourcing of critical objects for the provided railway infrastructure. The present category of
cyber and physical attacks is merely inclusive of different kind of cyber-attacks, virus
infection that overcomes the system access for different resources. Physical attacks are
merely inclusive of unauthorized disabling for different infrastructure elements [3]. In
addition, it focus on unauthorized penetration to a protected zone and unauthorized access to
network. The biggest complexity of this kind of attack is its complexity of object
infrastructure. It merely comprises of some of the critical monitoring for some of the critical
objects.
As per (), the development in the domain of connected and automated vehicle aims to
put huge number of challenges in the current vehicle control and transport system. The paper
highlights about parallel driving and cloud based cyber-physical social system framework
[11]. The mere focus is improving connected driving that highlights CPSS and intelligent
management system. The concept of parallel driving aims to highlight cyber-physical social
space, which takes into, account the automated vehicles and information. In the last few
years, cyber-physical system has been gaining huge amount of concern in the last few years.
CPSS emphasizes on integrating the dimension of human and social aspect, which is needed
for better design and operation [4]. The author highlights the interaction among the three-
interaction world that exists in the current universe that is physical world, mental and
artificial world. The three worlds are mainly coupled by both physical and cyber space. It is
mainly done for conceiving the cyber-physical-social space (CPSS). Rapid development in
application oriented section of MICS starts with the domain ontology. This particular
approach is needed for creating system for continuous adaption and scaling. The author
highlights the elements of security incident that can be implemented. The biggest issue,
which is being encountered, is during the implementation of cyber and physical attacks for
resourcing of critical objects for the provided railway infrastructure. The present category of
cyber and physical attacks is merely inclusive of different kind of cyber-attacks, virus
infection that overcomes the system access for different resources. Physical attacks are
merely inclusive of unauthorized disabling for different infrastructure elements [3]. In
addition, it focus on unauthorized penetration to a protected zone and unauthorized access to
network. The biggest complexity of this kind of attack is its complexity of object
infrastructure. It merely comprises of some of the critical monitoring for some of the critical
objects.
As per (), the development in the domain of connected and automated vehicle aims to
put huge number of challenges in the current vehicle control and transport system. The paper
highlights about parallel driving and cloud based cyber-physical social system framework
[11]. The mere focus is improving connected driving that highlights CPSS and intelligent
management system. The concept of parallel driving aims to highlight cyber-physical social
space, which takes into, account the automated vehicles and information. In the last few
years, cyber-physical system has been gaining huge amount of concern in the last few years.
CPSS emphasizes on integrating the dimension of human and social aspect, which is needed
for better design and operation [4]. The author highlights the interaction among the three-
interaction world that exists in the current universe that is physical world, mental and
artificial world. The three worlds are mainly coupled by both physical and cyber space. It is
mainly done for conceiving the cyber-physical-social space (CPSS). Rapid development in

5DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
the information communication technology in the domain of artificial world is needed for
design and optimizing system in both physical and mental world.
2.0 Methodology
Introduction
Research methodology is defined as a chapter, which is needed for defining the best
available approach that requires to be adopted. It is mainly needed for completing and
providing details of the process [7]. There are many theories in involved in having a much
better analysis of any given research topic. Use of the methodology is needed for analysing
the adopted process that is needed for research in intelligent transport network.
Method Outline
All the details of the research technique are needed for analysing intelligent transport
system and its impact in the upcoming days. The chosen method of research is positivism that
helps in getting all the required information by making use of logic and evaluation [10]. The
deductive approach will help the researcher is needed for conducting analysis by making use
of industry based resources and effect of intelligent transport system. The descriptive design
is needed by researcher for defining the used and new concepts in detail way. For this
research, only secondary kind of analysis will be used.
Research Onion
It can be defined as methodology tool that is needed for providing a list of key aspect
of research so that it can be successfully align with the topic. The tool is very much helpful
for the students for collecting results from research [6]. The tool comes up with mainly comes
up with six division that is strategies, choices, approaches, time horizon, procedure and
techniques. The tool helps in analysing each layer of the research technique that ultimately
the information communication technology in the domain of artificial world is needed for
design and optimizing system in both physical and mental world.
2.0 Methodology
Introduction
Research methodology is defined as a chapter, which is needed for defining the best
available approach that requires to be adopted. It is mainly needed for completing and
providing details of the process [7]. There are many theories in involved in having a much
better analysis of any given research topic. Use of the methodology is needed for analysing
the adopted process that is needed for research in intelligent transport network.
Method Outline
All the details of the research technique are needed for analysing intelligent transport
system and its impact in the upcoming days. The chosen method of research is positivism that
helps in getting all the required information by making use of logic and evaluation [10]. The
deductive approach will help the researcher is needed for conducting analysis by making use
of industry based resources and effect of intelligent transport system. The descriptive design
is needed by researcher for defining the used and new concepts in detail way. For this
research, only secondary kind of analysis will be used.
Research Onion
It can be defined as methodology tool that is needed for providing a list of key aspect
of research so that it can be successfully align with the topic. The tool is very much helpful
for the students for collecting results from research [6]. The tool comes up with mainly comes
up with six division that is strategies, choices, approaches, time horizon, procedure and
techniques. The tool helps in analysing each layer of the research technique that ultimately
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6DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
helps in conducting research in much better way. Researcher is bound to follow each of the
research onion so that a proper structure procedure can be implemented.
Research Philosophy
For research philosophy, there is needed of application of philosophy for analysing
all the details of this topic. It is very much helpful in analysing the overall assumption
process, which is being followed by researcher at the time of conducting research. The
current thinking process is needed for evaluation of this particular topic which requires being
effective and in proper alignment [11]. Positivism is part of philosophy subject, which helps
in applying logic for analysing some of the hidden facts. In the last, realism is being applied
which is found to be mixture of two that is positivism and interpretative. Realism is all about
describing the application of human beliefs and help in analysing the interaction of human
beings.
Reason of Selecting Positivism
It is being applied to the present context, which ultimately helps in analysis of some
of hidden facts, and information related intelligent transport network. In addition, the
complete nature of study is completely limited to time so that study has completely removed
the choice of study [7]. For this research, positivism philosophy has been selected that is
needed for manipulating and evaluation of data. It is needed for reducing any kind of data
errors.
Approach of the research
For this research, there is need to follow either of the research approach that is
deductive or inductive. In case of inductive, the study is very much helpful in analysing the
research topic when enough data is not available. The beginning stage of this approach is
achieved by observation, which is needed for having required information and building a
helps in conducting research in much better way. Researcher is bound to follow each of the
research onion so that a proper structure procedure can be implemented.
Research Philosophy
For research philosophy, there is needed of application of philosophy for analysing
all the details of this topic. It is very much helpful in analysing the overall assumption
process, which is being followed by researcher at the time of conducting research. The
current thinking process is needed for evaluation of this particular topic which requires being
effective and in proper alignment [11]. Positivism is part of philosophy subject, which helps
in applying logic for analysing some of the hidden facts. In the last, realism is being applied
which is found to be mixture of two that is positivism and interpretative. Realism is all about
describing the application of human beliefs and help in analysing the interaction of human
beings.
Reason of Selecting Positivism
It is being applied to the present context, which ultimately helps in analysis of some
of hidden facts, and information related intelligent transport network. In addition, the
complete nature of study is completely limited to time so that study has completely removed
the choice of study [7]. For this research, positivism philosophy has been selected that is
needed for manipulating and evaluation of data. It is needed for reducing any kind of data
errors.
Approach of the research
For this research, there is need to follow either of the research approach that is
deductive or inductive. In case of inductive, the study is very much helpful in analysing the
research topic when enough data is not available. The beginning stage of this approach is
achieved by observation, which is needed for having required information and building a
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7DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
proper path for research. On the other hand, deductive approach is being used like a method,
which highlights the use of certain number of theories for having access to content of the
research paper [12]. The approach is needed for building a theory, which has many
specification and ideas related to data analysis. Based on the nature of the study and the topic
of research, the proper method of approach is found to be helpful for carrying out much better
analysis.
Reason of choosing deductive approach
In this study, the topic will be highlighting some facts related to intelligent transport
system by making use of different theoretical knowledge and concepts [9]. This particular
topic requires a selecting an approach that helps in studying in clean way.
Design of Research
Research design helps in providing a proper explanation of the framework of the
current topic. This is found to be helpful in selecting the collection and pattern analysis. At
the time of data collection, a particular kind of approach is helpful in having a description of
this research design. There are several kind research design that are being used in academic
like exploratory, descriptive and explanatory [5]. Exploratory is very much helpful for
researcher as it helps in analysing various ideas and thoughts that are required for completing
the research paper. Explanatory research design is needed for describing the event occurrence
and analysing the happening particular event. Descriptive research helps in getting some
highlights about the state of event occurrence.
Reason for selecting research design
Explanatory model was completely avoided for supporting longitude study as it is not
possible with this given research topic. The descriptive design is being used as it provides an
proper path for research. On the other hand, deductive approach is being used like a method,
which highlights the use of certain number of theories for having access to content of the
research paper [12]. The approach is needed for building a theory, which has many
specification and ideas related to data analysis. Based on the nature of the study and the topic
of research, the proper method of approach is found to be helpful for carrying out much better
analysis.
Reason of choosing deductive approach
In this study, the topic will be highlighting some facts related to intelligent transport
system by making use of different theoretical knowledge and concepts [9]. This particular
topic requires a selecting an approach that helps in studying in clean way.
Design of Research
Research design helps in providing a proper explanation of the framework of the
current topic. This is found to be helpful in selecting the collection and pattern analysis. At
the time of data collection, a particular kind of approach is helpful in having a description of
this research design. There are several kind research design that are being used in academic
like exploratory, descriptive and explanatory [5]. Exploratory is very much helpful for
researcher as it helps in analysing various ideas and thoughts that are required for completing
the research paper. Explanatory research design is needed for describing the event occurrence
and analysing the happening particular event. Descriptive research helps in getting some
highlights about the state of event occurrence.
Reason for selecting research design
Explanatory model was completely avoided for supporting longitude study as it is not
possible with this given research topic. The descriptive design is being used as it provides an

8DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
idea with respect to detail steps that are involved in developing an intelligent transport
system.
Procedure of Data Collection
The methods of data collection are very much helpful as it helps in carrying out detail
research on this particular topic. The concept of data collection is needed for having accurate
result for carrying out research, which helps in carrying out the research work.
Source of collecting data
The source of data is very much helpful in collecting the required information and
research topic by the help of better analysis. For this topic, only secondary data has been
collected as it helps in increasing the topic of research [4]. In addition, it also helps in
analysing the data in much the topic of research in much better way.
Data Techniques
For this research, only qualitative data is being used that helps in providing much
better description. Qualitative data is helpful in providing some theoretical concepts in the
practical domain that helps in much better understanding of the topic.
Ethical consideration
During the research on this topic, it is the duty of researcher to follow some codes of
ethics that helps in analysing right and wrong set of behaviours. The researcher is focusing on
analysing the development of intelligent transport system [5]. It has helped him to add some
ethical consideration that helps in adding standardization to this topic.
idea with respect to detail steps that are involved in developing an intelligent transport
system.
Procedure of Data Collection
The methods of data collection are very much helpful as it helps in carrying out detail
research on this particular topic. The concept of data collection is needed for having accurate
result for carrying out research, which helps in carrying out the research work.
Source of collecting data
The source of data is very much helpful in collecting the required information and
research topic by the help of better analysis. For this topic, only secondary data has been
collected as it helps in increasing the topic of research [4]. In addition, it also helps in
analysing the data in much the topic of research in much better way.
Data Techniques
For this research, only qualitative data is being used that helps in providing much
better description. Qualitative data is helpful in providing some theoretical concepts in the
practical domain that helps in much better understanding of the topic.
Ethical consideration
During the research on this topic, it is the duty of researcher to follow some codes of
ethics that helps in analysing right and wrong set of behaviours. The researcher is focusing on
analysing the development of intelligent transport system [5]. It has helped him to add some
ethical consideration that helps in adding standardization to this topic.
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9DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
3.0 References
[1] S.H. Sutar, R. Koul and R. Suryavanshi, Integration of Smart Phone and IOT for
development of smart public transportation system. In 2016 International Conference on
Internet of Things and Applications (IOTA) (pp. 73-78). IEEE, 2016, January.
[2] S.S. Shadrin, A.M. Ivanov and K.E. Karpukhin, Using data from multiplex networks on
vehicles in road tests, in intelligent transportation systems, and in self-driving cars. Russian
engineering research, 36(10), pp.811-814, 2016.
[3] D.B. Rawat, C. Bajracharya and G. Yan, Towards intelligent transportation cyber-
physical systems: Real-time computing and communications perspectives. In SoutheastCon
2015 (pp. 1-6). IEEE, 2015, April.
[4] A. Sładkowski and W. eds. Pamuła, Intelligent transportation systems-problems and
perspectives (Vol. 303). Springer International Publishing, 2016.
[5] A.V., Chernov, M.A. Butakova, and E.V., Karpenko. Security incident detection
technique for multilevel intelligent control systems on railway transport in Russia. In 2015
23rd Telecommunications Forum Telfor (TELFOR) (pp. 1-4). IEEE, 2015, November.
[6] H.U., Bhosale, S.D. Awasare, and M.M., Salunkhe. A Review of Environmental Impact
of ITS (Intelligent Transportation System) to Reduce CO2 Emission at Toll Plaza, 2016.
[7] F.Y., Wang, N.N., Zheng, D., Cao, C.M., Martinez, L. Li, and T., Liu. Parallel driving in
CPSS: A unified approach for transport automation and vehicle intelligence. IEEE/CAA
Journal of Automatica Sinica, 4(4), pp.577-587, 2017.
[8] K.A., Brookhuis, D. De Waard, and W.H., Janssen. Behavioural impacts of advanced
driver assistance systems–an overview. European Journal of Transport and Infrastructure
Research, 1(3), 2019.
3.0 References
[1] S.H. Sutar, R. Koul and R. Suryavanshi, Integration of Smart Phone and IOT for
development of smart public transportation system. In 2016 International Conference on
Internet of Things and Applications (IOTA) (pp. 73-78). IEEE, 2016, January.
[2] S.S. Shadrin, A.M. Ivanov and K.E. Karpukhin, Using data from multiplex networks on
vehicles in road tests, in intelligent transportation systems, and in self-driving cars. Russian
engineering research, 36(10), pp.811-814, 2016.
[3] D.B. Rawat, C. Bajracharya and G. Yan, Towards intelligent transportation cyber-
physical systems: Real-time computing and communications perspectives. In SoutheastCon
2015 (pp. 1-6). IEEE, 2015, April.
[4] A. Sładkowski and W. eds. Pamuła, Intelligent transportation systems-problems and
perspectives (Vol. 303). Springer International Publishing, 2016.
[5] A.V., Chernov, M.A. Butakova, and E.V., Karpenko. Security incident detection
technique for multilevel intelligent control systems on railway transport in Russia. In 2015
23rd Telecommunications Forum Telfor (TELFOR) (pp. 1-4). IEEE, 2015, November.
[6] H.U., Bhosale, S.D. Awasare, and M.M., Salunkhe. A Review of Environmental Impact
of ITS (Intelligent Transportation System) to Reduce CO2 Emission at Toll Plaza, 2016.
[7] F.Y., Wang, N.N., Zheng, D., Cao, C.M., Martinez, L. Li, and T., Liu. Parallel driving in
CPSS: A unified approach for transport automation and vehicle intelligence. IEEE/CAA
Journal of Automatica Sinica, 4(4), pp.577-587, 2017.
[8] K.A., Brookhuis, D. De Waard, and W.H., Janssen. Behavioural impacts of advanced
driver assistance systems–an overview. European Journal of Transport and Infrastructure
Research, 1(3), 2019.
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10DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
[9] G. Gentile, and K., Noekel. Modelling public transport passenger flows in the era of
intelligent transport systems. Gewerbestrasse: Springer International Publishing, 2016.
[10] M., Park, S. Lee, and W., Han. Development of Steering Control System for
Autonomous Vehicle Using Geometry‐Based Path Tracking Algorithm. Etri Journal, 37(3),
pp.617-625, 2015.
[11] A., Ateya, A., Muthanna, I., Gudkova, A., Abuarqoub, , A. Vybornova and A.,
Koucheryavy. Development of intelligent core network for tactile internet and future smart
systems. Journal of Sensor and Actuator Networks, 7(1), p.1, 2018.
[12] E., Hamida, H. Noura, and W., Znaidi. Security of cooperative intelligent transport
systems: Standards, threats analysis and cryptographic countermeasures. Electronics, 4(3),
pp.380-423.
[13] Eze, E.C., Zhang, S.J., Liu, E.J. and Eze, J.C., 2016. Advances in vehicular ad-hoc
networks (VANETs): Challenges and road-map for future development. International
Journal of Automation and Computing, 13(1), pp.1-18, 2015.
[14] H.O., Al-Sakran. Intelligent traffic information system based on integration of Internet
of Things and Agent technology. International Journal of Advanced Computer Science and
Applications (IJACSA), 6(2), pp.37-43, 2015.
[15] J., Liu. Research on Strategies of Logistics Talents Training in Higher Vocational
Education under the Background of Intelligent Logistics. In 2018 8th International
Conference on Management, Education and Information (MEICI 2018). Atlantis Press, 2018,
December.
[16] D., McFarlane, V. Giannikas, and W., Lu. Intelligent logistics: Involving the
customer. Computers in Industry, 81, pp.105-115, 2016.
[9] G. Gentile, and K., Noekel. Modelling public transport passenger flows in the era of
intelligent transport systems. Gewerbestrasse: Springer International Publishing, 2016.
[10] M., Park, S. Lee, and W., Han. Development of Steering Control System for
Autonomous Vehicle Using Geometry‐Based Path Tracking Algorithm. Etri Journal, 37(3),
pp.617-625, 2015.
[11] A., Ateya, A., Muthanna, I., Gudkova, A., Abuarqoub, , A. Vybornova and A.,
Koucheryavy. Development of intelligent core network for tactile internet and future smart
systems. Journal of Sensor and Actuator Networks, 7(1), p.1, 2018.
[12] E., Hamida, H. Noura, and W., Znaidi. Security of cooperative intelligent transport
systems: Standards, threats analysis and cryptographic countermeasures. Electronics, 4(3),
pp.380-423.
[13] Eze, E.C., Zhang, S.J., Liu, E.J. and Eze, J.C., 2016. Advances in vehicular ad-hoc
networks (VANETs): Challenges and road-map for future development. International
Journal of Automation and Computing, 13(1), pp.1-18, 2015.
[14] H.O., Al-Sakran. Intelligent traffic information system based on integration of Internet
of Things and Agent technology. International Journal of Advanced Computer Science and
Applications (IJACSA), 6(2), pp.37-43, 2015.
[15] J., Liu. Research on Strategies of Logistics Talents Training in Higher Vocational
Education under the Background of Intelligent Logistics. In 2018 8th International
Conference on Management, Education and Information (MEICI 2018). Atlantis Press, 2018,
December.
[16] D., McFarlane, V. Giannikas, and W., Lu. Intelligent logistics: Involving the
customer. Computers in Industry, 81, pp.105-115, 2016.

11DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM
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