University IT Report: ITS and CAV Modeling and Future Implications

This report delves into the research and development surrounding Information Technology, with a specific focus on Intelligent Transportation Systems (ITS) and Connected and Autonomous Vehicles (CAV). The report begins by highlighting the evolution of CAVs, emphasizing their communication capabilities with infrastructure and other vehicles. It then explores the modeling challenges associated with integrating CAVs into existing transport systems, including considerations for road capacity, traffic bottlenecks, and the impact on infrastructure. The study references various research papers and utilizes tools like PTV Vissim to analyze and simulate different scenarios. It also acknowledges the uncertainties surrounding CAVs and the need for national policy decisions. The report concludes by emphasizing the potential of CAVs to revolutionize transport systems and improve efficiency and sustainability. The report provides a comprehensive overview of the current state of ITS and CAV technologies, their modeling complexities, and their future implications.

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
Task 2:
Review on ITS and CAV and discussion on different modeling issues:
The connected vehicles of the current era are useful to get communicated with nearby
infrastructures and vehicles. It is showed by Uhlemann (2017), the ways in which automated
vehicles are partially and completely managed with the computers having no intervention from
human drivers. Present developments of those technologies have helped the concept of connected
and automated vehicles needed to get explored and examined in practice. Further, it is predicted by
Loureiro et al. (2014), that the future CAVs has been sharing transport infrastructure with different
conventional vehicles. The authors indicate that it has the ability to revolutionize transport systems.
Besides, Ronald et al. (2017) has believed that CAVs has the capacity to develop transport safety,
efficiency and sustainability. On the other hand, the detailed modeling structure for the existing
transport systems has been able to capitalize the concepts of CAV that are required to get explored,
investigates and examined. Apart from this, it has been vital to develop innovative ideas for using
technologies seen from various aspects, scales and dimensions. Additionally, Bimbraw (2015)
mentioned that CAV applications have been able to remove various traffic bottlenecks and increase
capacity of traffic.
It is already seen from the paper of Mavromatis et al. (2018) that autonomous vehicles have
the ability to revolutionize the impact of travelling. It has been able to change the face in which
people has been planning, developing and operating infrastructures of transport. It is quantified and
examined by Ronald et al. (2017) how the CAVs impacts road capacities. This has ranged from
traffic lights and motorways and has accounted for different technologies.

2RESEARCH AND DEVELOPMENT IN INFORMATION TECHNOLOGY
For eradicating those modeling issues, various national policy decisions are present around
the large infrastructures. Apart from this, there are different uncertainties present around future of
different connected and autonomous vehicle. Ronald et al. (2017) mentioned that as the capabilities
are understood, it can be assumed that CAVs can be used to travel at shorter headways. Here
different scenarios are been considered in which CAVs have been cautious, searching for the
implications about road capacity.
The tests conducted by Loureiro et al. (2014) have been important. These are done under
PTV Vissim 5 changing the car-following and lane-changing models searching different range of
behaviors. Apart from this, the software has been useful to model all the road users and
intercommunications. This has been also helpful as far as transport networks and travel demands are
been considered.

3RESEARCH AND DEVELOPMENT IN INFORMATION TECHNOLOGY
References:
Bimbraw, K., 2015, July. Autonomous cars: Past, present and future a review of the developments in
the last century, the present scenario and the expected future of autonomous vehicle technology.
In Informatics in Control, Automation and Robotics (ICINCO), 2015 12th International Conference
on(Vol. 1, pp. 191-198). IEEE.
Loureiro, R., Benmoussa, S., Touati, Y., Merzouki, R. and Bouamama, B.O., 2014. Integration of
fault diagnosis and fault-tolerant control for health monitoring of a class of MIMO intelligent
autonomous vehicles. IEEE Transactions on Vehicular Technology, 63(1), pp.30-39.
Mavromatis, I., Tassi, A., Rigazzi, G., Piechocki, R.J. and Nix, A., 2018. Multi-Radio 5G
Architecture for Connected and Autonomous Vehicles: Application and Design Insights. arXiv
preprint arXiv:1801.09510.
Ronald, N., Navidi, Z., Wang, Y., Rigby, M., Jain, S., Kutadinata, R., Thompson, R. and Winter, S.,
2017. Mobility Patterns in Shared, Autonomous, and Connected Urban Transport. In Disrupting
Mobility (pp. 275-290). Springer, Cham.
Uhlemann, E., 2017. Continued Dispute on Preferred Vehicle-to-Vehicle Technologies [Connected
Vehicles]. IEEE Vehicular Technology Magazine, 12(3), pp.17-20.