Drivelab: An experimental platform for telematics

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Speed is a major killer in traffic. This paper presents the DriveLaB telematics platform that monitors drivers in real-Time and provides feedback if they are speeding. The platform has been developed in collaboration with a major Danish insurance company and used in three larger field trials. The platform uses an Android/iOS smartphone app at the client side and does all data processing at the server-side, e.g., map-matching. The paper first provides an overview of the entire platform and then focuses on three major technical challenges: 1) A trip scoring algorithm that allows for comparison of scores across trip length. 2) A notification system that provides both positive and negative real-Time feedback to the drivers, without leading the drivers' attention away from traffic. 3) Auto start of the cross-platform app to make it convenient for drivers to participate in the field trials. Three field trials, with 32 participants driving 57,933 km has been conducted. The results of these trials validates that trip scores can be compared across trip length. Further, we demonstrate that doing all data-processing on the server side is a viable approach also for real-Time notifications and that drivers are notified with reasonable delays. Finally, we show that the client auto start is fast, robust, and convenient.

Original languageEnglish
Title of host publicationProceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019
Number of pages8
PublisherIEEE
Publication dateJun 2019
Pages252-259
Article number8788727
ISBN (Print)978-1-7281-3364-5
ISBN (Electronic)9781728133638
DOIs
Publication statusPublished - Jun 2019
Event20th International Conference on Mobile Data Management, MDM 2019 - Hong Kong, Hong Kong
Duration: 10 Jun 201913 Jun 2019

Conference

Conference20th International Conference on Mobile Data Management, MDM 2019
Country/TerritoryHong Kong
CityHong Kong
Period10/06/201913/06/2019
SponsorCroucher Foundation, Hong Kong Baptist University, Department of Computer Science, IEEE, IEEE Computer Society, IEEE Technical Committee on Data Engineering
SeriesProceedings - IEEE International Conference on Mobile Data Management
Volume2019-June
ISSN1551-6245

Keywords

  • GPS
  • ITS
  • Platform
  • Smartphone
  • Traffic

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