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Improved Positioning of City Buses

Bengtsson, Nils (2014) In Master's Theses in Mathematical Sciences FMS820 20141
Mathematical Statistics
Abstract (Swedish)
In order to build an efficient transportation system of the future, public
transport needs to be an attractive alternative offering a high quality travel
experience. Future digital information systems for public buses will enrich
the travelers experience by delivering relevant content - accurately on the
right time and place. In this master thesis, design and implementation of
an improved bus positioning system is presented with the objective to meet
these demands. The system is based on a bank of particle filters used to
track a non-linear, non Gaussian state model of the bus. The available input
signals are GPS, wheel speed, and door opening sensors. The system utilizes
a GIS database containing the street network and a local... (More)
In order to build an efficient transportation system of the future, public
transport needs to be an attractive alternative offering a high quality travel
experience. Future digital information systems for public buses will enrich
the travelers experience by delivering relevant content - accurately on the
right time and place. In this master thesis, design and implementation of
an improved bus positioning system is presented with the objective to meet
these demands. The system is based on a bank of particle filters used to
track a non-linear, non Gaussian state model of the bus. The available input
signals are GPS, wheel speed, and door opening sensors. The system utilizes
a GIS database containing the street network and a local traffic system
database with spatial and temporal information of the buses. The implementation
is done in python, powered by the GeoDjango framework and the
PostgreSQL database, and has been tested in buses containing a commercial
digital information system. The system improves the positioning during
GPS failure and increases reliability by combining all disposable information
and presenting an accurate and redundant estimate. (Less)
Please use this url to cite or link to this publication:
author
Bengtsson, Nils
supervisor
organization
course
FMS820 20141
year
type
H2 - Master's Degree (Two Years)
subject
publication/series
Master's Theses in Mathematical Sciences
report number
LUTFMA-3257-2014
ISSN
1404-6342
other publication id
2014:E01
language
English
id
4305400
date added to LUP
2014-02-12 15:19:17
date last changed
2024-10-21 21:42:06
@misc{4305400,
  abstract     = {{In order to build an efficient transportation system of the future, public
transport needs to be an attractive alternative offering a high quality travel
experience. Future digital information systems for public buses will enrich
the travelers experience by delivering relevant content - accurately on the
right time and place. In this master thesis, design and implementation of
an improved bus positioning system is presented with the objective to meet
these demands. The system is based on a bank of particle filters used to
track a non-linear, non Gaussian state model of the bus. The available input
signals are GPS, wheel speed, and door opening sensors. The system utilizes
a GIS database containing the street network and a local traffic system
database with spatial and temporal information of the buses. The implementation
is done in python, powered by the GeoDjango framework and the
PostgreSQL database, and has been tested in buses containing a commercial
digital information system. The system improves the positioning during
GPS failure and increases reliability by combining all disposable information
and presenting an accurate and redundant estimate.}},
  author       = {{Bengtsson, Nils}},
  issn         = {{1404-6342}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master's Theses in Mathematical Sciences}},
  title        = {{Improved Positioning of City Buses}},
  year         = {{2014}},
}