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Modelling Emission of Pollutants from transportation using mobile sensing data: Advancing modelling of street level pollution and climate forcing gas emissions

Research output: Book/anthology/dissertation/reportPh.D. thesisResearch


The advent and the proliferation of the smartphone has promised new possibilities for researchers to gain knowledge about the habits and behaviour of people, as the ubiqui- tous smartphone with an array of sensors is capable of deliver a wealth of information.
This dissertation addresses methods to use data acquired from smartphones to im- prove transportation related air quality models and models for climate gas emission from transportation. These models can be used for planning of transportation net- works, monitoring of air quality, and automate transport related green accounting.
More accurate transportation models can be obtained by using observed travel routes, acquired from smartphone data, rather than indirectly computed routes, as input to a model of route choice in a transportation network. Smartphone data can also be used to gain detailed knowledge of the driving style of individual drivers, by deducing driving modes from accelerometer data.
The work presented in this thesis spans different and diverse research fields. Trans- portation models are a subfield of econometrics, air quality modelling is a subfield of atmospheric chemistry, and driving mode detection and efficient database imple- mentations are a subfield of computer science. I have worked to bring these diverse research fields together to solve the challenge of improving modelling of transporta- tion related air quality emissions as well as modelling of transportation related climate gas emissions.
The main scientific contributions of the dissertation are:
• Algorithm for origin destination demand matrix creation from smartphone data.
• The development of a novel map matching algorithm suitable for a database.
• Using user experienced routes as a seed for a transport model.
• Driving mode detection from smartphone accelerometer data.
• A performant database implementation of Restricted Stochastic User Equilib- rium transport model.
• An investigation of the accuracy of Global Positioning System in a stationary smartphone.
Translated title of the contributionModellering af udledning af forurening fra transport med brug mobile sensor data: Forbedring af modeller for udledning af forurening på gade niveau og klima gas udledning
Original languageEnglish
PublisherAarhus Universitet
Number of pages146
Publication statusPublished - 31 Oct 2017

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