Research and Development in IT: ITS and Connected Autonomous Vehicles

This assignment presents a research analysis on Intelligent Transport Systems (ITS) and Connected Autonomous Vehicles (CAVs), focusing on three journal articles. The first journal examines policy pathways to vehicle automation, exploring industry perspectives on the role of public policy and the challenges of regulating safety-related innovations. The second journal delves into modeling issues and research perspectives within transportation systems, highlighting the need for tools to evaluate network performance and user behavior. The third journal focuses on integrating sensors, communication, and control for autonomous vehicles, formalizing methods and algorithms for decision-making in heterogeneous traffic scenarios. The assignment provides a comprehensive overview of the current state of ITS and CAV research, addressing key aspects of policy, industry, and technological development.

Running head: RESEARCH AND DEVELOPMENT IN INFORMATION TECHNOLOGY
Research and Development in Information Technology
Name of the student:
Name of the university:
Author Note

1RESEARCH AND DEVELOPMENT IN INFORMATION TECHNOLOGY
Title: Discussion on Intelligent Transport Systems and Connected Autonomous
Vehicles: Policy pathways, industry perspective, modeling issues, integrating
sensors, communication, and control
Task 1:
Journal 1: Policy pathways to vehicle automation: Industry perspectives on the role of public
policy in autonomous vehicle development
Ieeexplore.ieee.org. (2018). Policy pathways to vehicle automation: Industry perspectives on the
role of public policy in autonomous vehicle development - IEEE Conference Publication. [online]
Available at: https://ieeexplore.ieee.org/document/6799831/ [Accessed 28 Apr. 2018].
Federal regulation of automotive industry is used for public security. The paper aims to
present a new challenge to regulation of various safety-related innovations. The main problem in this
part is the charity in which technology evolves and affects traffic safety. The problem is solved in
the research effort through interviewing representative of in-vehicle systems and automotive
manufacturers active in this sector.
This interview is to be done from the perspective of federal authorities and potential role of
state. This view-point shows that more activities are needed to be done to resolve potential issues of
liability. Further, the outcome shows that the autonomous vehicle industry requires focusing to
maintain the scope for innovation.

2RESEARCH AND DEVELOPMENT IN INFORMATION TECHNOLOGY
Journal 2: Transportation systems with autonomous vehicles: Modeling issues and research
perspectives
Cantarella, G.E. and Di Febbraro, A., 2017, June. Transportation systems with autonomous vehicles:
Modeling issues and research perspectives. In Models and Technologies for Intelligent
Transportation Systems (MT-ITS), 2017 5th IEEE International Conference on (pp. 1-6). IEEE.
The paper aims to show that verge of new revolution regarding road transportation. The
study highlighted how the current stock of conventional human-driven vehicles has been very must
time costly. The report discusses that the main problem lies in the evaluation of effects on network
performance and behavior of user. This needs development of tools for the traffic. Further, a a
transportation theory is needed to be implemented for the planners and modelers.
In this study, a common overview of the current processes for traffic control and analysis is
demonstrated. It analyzes the transportation systems and its design. It experimented that these can be
applied as such with various straightforward developments and investigates the tools needed. Lastly,
the report proves that both the old and current technologies will be sustaining together and somehow
share the similar facilities.

3RESEARCH AND DEVELOPMENT IN INFORMATION TECHNOLOGY
Journal 3:
Title: Decisions for autonomous vehicles: integrating sensors, communication, and control
Driggs-Campbell, K.R., Shia, V. and Bajcsy, R., 2014, April. Decisions for autonomous vehicles:
integrating sensors, communication, and control. In Proceedings of the 3rd international conference
on High confidence networked systems (pp. 59-60). ACM.
In this article detailed work is done keeping the progress of intelligent transport systems and
connected autonomous vehicles in mind. Various methods and algorithms are formalized in this
paper. They are helpful for decision making with specific focus on implementation of autonomous
vehicles.
In order to solve the various issues, the authors suggest different scenarios. These are done
while focusing on the heterogeneous scenario of fully autonomous, semi-autonomous and human
driven vehicles. However, the report states that all the prior analysis were at the nascent stage of
development.
The research has summarized different tasks done in the sectors of vehicle-to-vehicle
communication having control applications along with high-level of different decision making
regarding autonomous vehicles.
The authors have implemented the proposed methods in their article. In this way, the paper
has guaranteed stability, safety and feasibility for autonomous systems.

4RESEARCH AND DEVELOPMENT IN INFORMATION TECHNOLOGY
References:
Cantarella, G.E. and Di Febbraro, A., 2017, June. Transportation systems with autonomous vehicles:
Modeling issues and research perspectives. In Models and Technologies for Intelligent
Transportation Systems (MT-ITS), 2017 5th IEEE International Conference on (pp. 1-6). IEEE.
Driggs-Campbell, K.R., Shia, V. and Bajcsy, R., 2014, April. Decisions for autonomous vehicles:
integrating sensors, communication, and control. In Proceedings of the 3rd international conference
on High confidence networked systems (pp. 59-60). ACM.
Ieeexplore.ieee.org. (2018). Policy pathways to vehicle automation: Industry perspectives on the
role of public policy in autonomous vehicle development - IEEE Conference Publication. [online]
Available at: https://ieeexplore.ieee.org/document/6799831/ [Accessed 28 Apr. 2018].