Inlämning av Examensarbete / Submission of Thesis

Ksenia Sigakova , pp. 55. COM/School of Computing, 2012.

The work

Författare / Author: Ksenia Sigakova
Titel / Title: Road Freight Transport Travel Time Prediction
Abstrakt Abstract:

Road freight transport travel time estimation is an important task in fleet management and traffic planning. Goods often must be delivered in a predefined time window and any deviation may lead to serious consequences. It is possible to improve travel time estimation by considering more factors that may affect it.
In this thesis work we identify factors that may affect travel time, find possible sources of information about them, propose a model for estimating travel time of heavy goods vehicles, and verify this model on real data.
As results, the experiments showed that considering time related and weather related factors, it is possible to improve accuracy of travel time estimation. Also, it was shown that the influence of a particular factor on travel time depended on the considered road segment. Furthermore, it was shown that different data mining algorithms should be applied for different road segments in order to get the best estimation.

Ämnesord / Subject: Datavetenskap - Computer Science\General

Nyckelord / Keywords: travel time estimation, Intelligent Transport Systems, data mining

Publication info

Dokument id / Document id: houn-92haqf
Program:/ Programme Datavetenskapligt program/Computer Science
Registreringsdatum / Date of registration: 11/29/2012
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)


Handledare / Supervisor: Johan Holmgren, Gideon Mbiydzenyuy,
Examinator / Examiner: Lars Lundberg
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: COM/School of Computing

+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: bth2012sigakova.pdf (1770 kB, öppnas i nytt fönster)