DriveLaB: A platform for reducing speeding

Thomas F. Olsen*, Kasper F. Pedersen, Dennis Rasmussen, Kristian Torp

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1 Citationer (Scopus)

Abstract

Speed is the major killer in traffic. The typical approach to enforce speed limits is by having the police monitor drivers and issue tickets when they are speeding. In this paper, we introduce a new platform where speeding is reduced by nudging. The three major approaches are to warn drivers if they are speeding, praise the drivers if they are driving within the speed limit, and grade each trip. The latter is used to rank drivers, e.g., drivers within a company are ranked according to their trip scores. We present the DriveLaB smartphone app that provides real-time feedback to the drivers. All computations are done at the server-side and we show how to compute real-time feedback and store trip data. In addition, we report on two field trials in the Copenhagen and Aalborg Areas where the platform is tested in collaboration with a major Danish insurance company.

OriginalsprogEngelsk
TitelProceedings - 2018 IEEE 19th International Conference on Mobile Data Management (MDM)
Antal sider2
ForlagIEEE (Institute of Electrical and Electronics Engineers)
Publikationsdato13 jul. 2018
Sider274-275
ISBN (Elektronisk)9781538641330
DOI
StatusUdgivet - 13 jul. 2018
Begivenhed19th IEEE International Conference on Mobile Data Management, MDM 2018 - Aalborg, Danmark
Varighed: 25 jun. 201828 jun. 2018

Konference

Konference19th IEEE International Conference on Mobile Data Management, MDM 2018
Land/OmrådeDanmark
ByAalborg
Periode25/06/201828/06/2018
SponsorAalborg University, Center for Data-Intensive Systems (DAISY), Aalborg University, IEEE, IEEE Technical Committee on Data Engineering (TCDE), Otto Monsted Foundation
NavnProceedings - IEEE International Conference on Mobile Data Management
Vol/bind2018-June
ISSN2375-0324

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