Transportation Planning and Autonomous Vehicle Technology Report

This report explores the multifaceted implications of autonomous vehicles (AVs) on transportation planning. It examines the potential benefits, such as reduced pollution and congestion, alongside the challenges, including the need for public regulation and infrastructure adjustments. The report discusses the expected timeline for AV deployment, considering cost-benefit analyses and the impact on travel patterns, public transit, and parking facilities. It highlights the need for dedicated lanes and potential user preferences in programming AVs to enhance traffic flow and occupant comfort. Furthermore, the report addresses concerns about job displacement, service quality, and the potential for reduced support for public transit. It also evaluates the optimistic predictions surrounding AVs, emphasizing the importance of considering factors such as cost, reliability, and the need for extensive testing and regulation across different jurisdictions. The report concludes by emphasizing the impact of public policies, such as road fees and incentives, on the adoption and deployment of autonomous vehicles.

AUTONOMOUS VEHICLE

• The future is unpredictable;
however, planning needs
forecast of impending needs
and conditions.
• The practitioners and
decision-makers astonish the
method autonomous vehicle
that is termed as robotic or
self-driving vehicles will
hamper the future demand
for travel (Bagloee et al.
2016).
• Therefore the necessity for
parking facilities, roads, and
services of public transit as
well as public policies reduce
the issues. It also enhances
the advantage of novel
technologies (Milakis, Van
Arem and Van Wee 2017).
The vehicles rely upon
public infrastructure as
well as implicate
external costs. Public
regulation and
planning are required
in comparison to other
technologies. The
benefit of an
autonomous vehicle
involves pollution
reductions and
congestion
(Schwarting, Alonso-
Mora and Rus 2018).

 The policymakers should
decide as to whether to
establish special autonomous
vehicle paths and the method
to price them.
 Furthermore, to regulate the
functioning for the purpose of
enhancing total benefits.
Henceforth need the
dedicated path to permit
platooning as well as
autonomous vehicle may be
programmed that is rest on
the preferences of the user, to
enhance traffic speed in
addition to that community
goal or occupant comfort to
reduce risk or delay to the
other users of the road
(Javdani et al 2018).
The report discovers
the issues, and the
examination is rest
on the experience
with prior
technologies of
vehicle.

The method how speedily
self-driving vehicle
probable to be deployed or
develop, evaluation of cost
and benefits, discussion of
probable travel outcome as
well as execution of
planning decision, for
instance, public and
parking transit supply,
optimal road.
Self-driving vehicles
initiate novel
discomforts and
stresses. The self-driving
micro-transit and taxi
services will be treated
as cost-friendly in
comparison to taxis that
are human -operated
however invites lower
quality of services as
there is the
unavailability of drivers
to assist in the carriage
of packages as well as
guaranteeing safety to
the public.

 The autonomous vehicles
facilitate self-determining mobility
for the individuals who, for some
reason, cannot able to drive.
 The autonomous vehicles are
directly beneficial for those
categories of travelers, along with
that enhancing their access to
employment opportunities and
education.
 It also caters to the enhancement
of productivity and reduction of
chauffeuring obligations upon the
members of the family as well as
his friends (Salazar et al. 2018).
The optimistic
prediction
concerning the
benefits of
autonomous
vehicles may affect
the communities
for the reduction of
assistance to the
services of public
transit that tend to
minimize the option
of mobility for the
person who is non-
drivers.
The dedicated lanes for the self-
driving vehicles platooning may
minimize the capability for the
traffic that is human-operated as
well as detrimental the occupants
of vehicles that are human-
operated.

 It is assumed by the optimist
that the autonomous vehicles
would be electric that
predicted by them have low
cost of operating.
 The research and examination
with the prior innovation of
vehicles as airbags and
automatic transmission
propose that the capability of
autonomous driving will
primarily be obtainable in case
models that are high priced
and also take decades on
becoming principles on the
models that are lower priced
(Bechtsis et al. 2018).
 The autonomous
public vehicle can
eliminate crashes by
facilitating affording
substitutes to the
drivers who are at
high risk.
 It has been claimed
by optimists that
autonomous driving
minimizes external
costing involving
parking cost, traffic
congestion, pollution
emissions, and crash
risk. Nevertheless,
this outcome is
regarded as
uncertain and
inconsistent.

o The technologies that are implicated
in the autonomous vehicle will require
to pass through several phases for
becoming available widely
commercially, affordable, and reliable.
o Therefore under optimistic approval
and condition testing, that will take a
few years. However, if the
technologies establish to be
dangerous and unreliable; for
instance, autonomous vehicles create
crashes of high profile, they require a
longer time.
o Therefore different jurisdictions would
implicate diverse testing, regulation,
and approval impacting diverse
proportions of deployment.
o The planning implication raised by
autonomous vehicles involves
roadway planning, transportation
planning, curb management, parking
planning, needs of public transit, and
The public policies affect the cost. The
government may implicate fees for the
novel users of the road to recuperate the
cost of roadways and minimize traffic
issues that would enhance the operating
cost of electric vehicles in addition to that
establish traveling in the shared vehicles
more lucrative.

 The report examines the outcome
of autonomous that can also be
designated as driverless, self-
driving, or robotic vehicles along
with their implication for the
planning of transportation.
 It examines the method of how
speedily the vehicles deployed and
developed based on the experience
with prior technologies of the
vehicle along with their cost and
benefits.
 It also examines how they affect
traveling activity and their result
on the planning decision.
 It had been indicated by
relevant analysis that
Level 5 self-driving
vehicles capable of
functioning without the
driver.
 It can be available
commercially and legally
implement in some
zones by the late 2020s.
Nevertheless in the initial
stage have limited
performance and high
costing.

References
• Bagloee, S.A., Tavana, M., Asadi, M. and Oliver, T., 2016. Autonomous vehicles:
challenges, opportunities, and future implications for transportation policies. Journal
of modern transportation, 24(4), pp.284-303.
• Bechtsis, D., Tsolakis, N., Vlachos, D. and Srai, J.S., 2018. Intelligent autonomous
vehicles in digital supply chains: a framework for integrating innovations towards
sustainable value networks. Journal of cleaner production, 181, pp.60-71.
• Javdani, S., Admoni, H., Pellegrinelli, S., Srinivasa, S.S. and Bagnell, J.A., 2018. Shared
autonomy via hindsight optimization for teleoperation and teaming. The International
Journal of Robotics Research, 37(7), pp.717-742.
• Milakis, D., Van Arem, B. and Van Wee, B., 2017. Policy and society related
implications of automated driving: A review of literature and directions for future
research. Journal of Intelligent Transportation Systems, 21(4), pp.324-348.
• Salazar, M., Rossi, F., Schiffer, M., Onder, C.H. and Pavone, M., 2018, November. On
the interaction between autonomous mobility-on-demand and public transportation
systems. In 2018 21st International Conference on Intelligent Transportation Systems
(ITSC) (pp. 2262-2269). IEEE.
• Schwarting, W., Alonso-Mora, J. and Rus, D., 2018. Planning and decision-making for
autonomous vehicles. Annual Review of Control, Robotics, and Autonomous Systems.

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