| dc.description.abstract | Advancement in autonomous driving technology has created numerous opportunities
for safer, smarter and more sustainable mobility to solve most of the problems
that urbanization is causing on the roads. Autonomous driving technology is an
emerging application of automotive technology. Vehicles with this feature can
recognize the scene, plan the path, and control the motion by themselves while
interacting with drivers. Although they receive considerable attention, artificial
intelligence components of autonomous vehicles are not accessible to the public
but instead are developed as proprietary assets.
The objective of this thesis is to research how artificial intelligence in vehicles can
help solve traffic congestion and what other benefits it can produce in our daily
lives. There is a lack of knowledge on how the AI will disrupt and which policy
strategies are needed to address such disruption. The aim is to determine where
we are, where we are headed and what likely impacts this disruptive technology
can do to traffic congestion. The methodology is based on a systematic review of
existing research and evidence, to help understand the capability, impact and limitations
associated with autonomous vehicles.
The review reveals the trajectories of technological development of autonomous vehicles,
disruptive effects caused by such development, improvements to the current
state of autonomous vehicles. The paper also reveals what technology is needed
to solve traffic congestion and what is needed to meet that objective. | |
