<p>New technologies such as electric vehicles,
Autonomous vehicles and transportation platforms are changing the way humanity
move in a dramatic way and cities around the world need to adjust to this rapid
change brought by technology. One of the aspects more challenging for urban
planners is the parking problem as the new increase or desire for these private
technologies may increase traffic congestion and change the parking
requirements across the city. For example, Electric vehicles will need parking
places for both parking and charging and Autonomous vehicles could increase the
congestion by making longer trips in order to search better parking
alternatives. Thus, it becomes essential to have clear, precise and practical models
for transportation engineers in order to better represent present and future scenarios
including normal vehicles, autonomous vehicles and electric vehicles in the
context of parking and traffic alike. Classical network model such as traffic
assignment have been frequently used for this purpose although they do not take
into account essential aspects of parking such as fixed capacities, variety of
users and autonomous vehicles. In this work a new methodology for modelling
parking for multi class traffic assignment is proposed including autonomous
vehicles and hard capacity constraints. The proposed model is presented in the
classical Cournot Game formulation based on path flows and in a new link-node formulation
which states the traffic assignment problem in terms of link flows instead of
path flows. This proposed model allows for the creation of a new algorithm
which is more flexible to model requirements such as linear constrains among
different players flows and take advantage of fast convergence of Linear
programs in the literature and in practice. Also, this link node formulation is
used to redefine the network capacity problem as a linear program making it more
tractable and easier to calculate. Numerical examples are presented across this
work to better exemplify its implications and characteristics. The present work
will allow planners to have a clear methodology for modelling parking and
traffic in the context of multiusers which can represent diverse
characteristics as parking time or type of vehicles. This model will be
modified to take into account AV and the necessary assumptions and discussion
will be provided.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/13366262 |
| Date | 14 December 2020 |
| Creators | Juan Esteban Suarez Lopez (9760799) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/CAPACITATED_NETWORK_BASED_PARKING_MODELS_UNDER_MIXED_TRAFFIC_CONDITIONS/13366262 |
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