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Smartphone-Based Measurement Systems for Road Vehicle Traffic Monitoring and Usage-Based Insurance
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Royal Institute of Technology, Sweden; Movelo AB, Sweden.
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2014 (English)In: IEEE Systems Journal, ISSN 1932-8184, Vol. 8, no 4, 1238-1248 p.Article in journal (Refereed) Published
Abstract [en]

A framework is presented to deploy a smartphone-based measurement system for road vehicle traffic monitoring and usage-based insurance (UBI). Through the aid of a hierarchical model to modularize the description, the functionality is described as spanning from sensor-level functionality and technical specification to the topmost business model. The designer of a complex measurement system has to consider the full picture from low-level sensing, actuating, and wireless data transfer to the topmost level, including enticements for the individual smartphone owners, i.e., the end users who are the actual measurement probes. The measurement system provides two data streams: a primary stream to support road vehicle traffic monitoring and a secondary stream to support the UBI program. The former activity has a clear value for a society and its inhabitants, as it may reduce congestion and environmental impacts. The latter data stream drives the business model and parts of the revenue streams, which ensure the funding of the total measurement system and create value for the end users, the service provider, and the insurance company. In addition to the presented framework, outcome from a measurement campaign is presented, including road vehicle traffic monitoring (primary data stream) and a commercial pilot of UBI based on the driver profiles (secondary data stream). The measurement system is believed to be sustainable due to the incitements offered to the individual end users, in terms of favorable pricing for the insurance premium. The measurement campaign itself is believed to have an interest in its own right, as it includes smartphone probing of road traffic with a number of probes in the vicinity of the current state of the art, given by the Berkeley Mobile Millennium Project. During the ten-month run of the project, some 4500 driving h/250 000 km of road vehicle traffic data were collected.

Place, publisher, year, edition, pages
2014. Vol. 8, no 4, 1238-1248 p.
Keyword [en]
Complex measurement systems, insurance telematics, Mobile Millennium, MOving VEhicle LOgger (MOVELO) campaign, pay as you drive, pay how you drive, smartphone-based measurements, usage-based insurance (UBI)
National Category
Information Systems
Identifiers
URN: urn:nbn:se:su:diva-111900DOI: 10.1109/JSYST.2013.2292721ISI: 000345620800023OAI: oai:DiVA.org:su-111900DiVA: diva2:779757
Note

AuthorCount:5;

Available from: 2015-01-13 Created: 2015-01-08 Last updated: 2016-10-11Bibliographically approved
In thesis
1. Exploring Designs for a Process Prioritisation Method
Open this publication in new window or tab >>Exploring Designs for a Process Prioritisation Method
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Problem/Purpose: Process prioritisation is an ill-structured and complex problem that remains a mystery phase in business process management (BPM) research. More explorative approaches are called upon to tackle process management problems, to facilitate process innovation and to design new processes in dynamic environments. This dissertation aims (i) to design and evaluate a Prioritisation and Categorisation Method (PCM) for addressing process prioritisation problems; and (ii) to explore process innovation by disruptive technologies.

Research methods: This research follows the design science research (DSR) paradigm. The design exploration and the engaged scholarship approaches are also adapted. The demonstration and evaluation of the Prioritisation and Categorisation Method have been conducted with case studies in large Swedish companies, i.e. Seco Tools and Ericsson. An empirical study of the impacts of disruptive technologies on process innovation was conducted at a large insurance company in Sweden.

Results: This research has led to the design and evaluation of the PCM: a new context-aware, effective and holistic method for BPM. In addition, the lessons learnt from the insurance case deepened the understanding of the challenges that are faced by a company when exploring new capabilities (e.g. processes and IT) for future business. Such lessons also emphasise the necessity of configuring PCM based upon business contingencies and industry factors in process prioritisation.

Contributions: This dissertation contributes a novel method to explore BPM in a holistic, yet flexible and effective way. The challenges identified in process innovations improve the configuration capabilities of the PCM through a deeper understanding of the dynamic capabilities within organisations (Capability Layer Model-CLM). This research contributes design knowledge to DSR in the forms of the PCM as an invention, and the three design principles for the PCM: design by holistics, design by commitments and design by explorations. The research is evaluated as good BPM and good design science research.

Place, publisher, year, edition, pages
Stockholm: Department of Computer and Systems Sciences, Stockholm University, 2016. 100 p.
Series
Report Series / Department of Computer & Systems Sciences, ISSN 1101-8526 ; 16-013
Keyword
Process prioritisation, exploration, process innovation, design science research, business process management, disruptive technology, capability layer model, systems thinking
National Category
Computer and Information Science
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-134553 (URN)978-91-7649-563-6 (ISBN)978-91-7649-564-3 (ISBN)
Public defence
2016-11-28, L70, NOD-huset, Borgarfjordsgatan 12, Kista, 09:00 (English)
Opponent
Supervisors
Available from: 2016-11-02 Created: 2016-10-11 Last updated: 2016-11-02Bibliographically approved

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