CBL - Campus del Baix Llobregat

Projecte llegit

Títol: A door-to-door air/car/rail travel planner for mobile devices that includes sustainability criteria

Estudiants que han llegit aquest projecte:

Director/a: VILLARDI DE MONTLAUR, ADELINE DE

Departament: FIS

Títol: A door-to-door air/car/rail travel planner for mobile devices that includes sustainability criteria

Data inici oferta: 29-05-2020     Data finalització oferta: 29-01-2021


Estudis d'assignació del projecte:
    DG ENG AERO/SIS TEL
    DG ENG AERO/TELEMÀT
Tipus: Individual
 
Lloc de realització: EETAC
 
Segon director/a (UPC): ZOLA, ENRICA VALERIA
 
Paraules clau:
door-to-door travel, optimization, sustainability, multi-criteria decision making
 
Descripció del contingut i pla d'activitats:
Current travel planners help people to organize their journeys
by themselves. However, the most common websites offering such a
service lack in integrating several features that may be useful
for the user to take his/her decision, such as connection time
to the airport/station, environmental criteria, etc.

The focus of this project will be on travels for which several
transportation means may be needed in order to provide a door-
to-door solution. Its aim is to offer multiple choices to the
user in terms of: selecting the main transportation means,
selecting the secondary transportation means, including user’s
preferences, etc.

Door-to-door routes will be compared for 3 transportation means:
flight (+ access to airport), rail (+ access to train station)
and car.

The results will be presented to the user through a mobile app
or website.

Objectives to fulfil:
- compute criteria included in the comparator for each
transportation mean: door-to-door time, total cost, emissions
(CO2, NOx, etc.)
- achieve 2 possible outcomes
* grade every solution depending on time efficiency, cost
efficiency, environmental friendliness (color scale/matrix can
be used for the final result)
or
* compute a global utility (objective) function. In this case,
weights will be assigned for every criteria (some input can come
from the user who could for example express her/his
priority/ies)
- design a user-friendly interface (app or website)
 
Overview (resum en anglès):
Current route planners help people to organize their journeys by themselves.
However, the most common websites offering such a service lack in integrating
several features that may be useful for the user to make his/her decision, such
as connection time to the airport/station, environmental criteria, etc. Moreover,
the user has to spend his precious time selecting the best among the available
options.
The focus of this project is to provide a door-to-door solution, which may require
multiple modes of transportation. Especially in cases where more than one
possible route is available. Therefore, the goal is to provide the user with the
best solution in terms of the user¿s preferences regarding the characteristics of
the different routes.
For this purpose, a multi-criteria decision-making (MCDM) algorithm was
selected and implemented that satisfied a set of requirements of route
planning. Three principal transport modes were studied for emissions models.
Routes¿ information for cost and time are obtained from exterior online services
or derived from our models. A website is built to let users select the origin and
the destination in addition to expressing his/her preferences over cost,
emissions and time. Also, to show the optimal route for him/her.
The main objectives to fulfill are 1) Elaborate models for the calculation of the
emissions for each transport mode and obtain information about the travel time
and cost 2) Select and implement an MCDM algorithm 3) Design a user-friendly
website for the interaction with the user and integrate the first two objectives.
At the end of the project, we successfully created emissions models for three
transport modes and implemented processes to obtain time and cost of a route.
Our algorithm was selected as it best suited the needs of a route planner. And,
a simple user-friendly website was built to provide route planning services
considering user¿s preferences that implements an architecture using own
models, algorithm and free available APIs

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